EP1705617A2 - Verfahren und Vorrichtung zur Fernüberwachung der Aktivität einer Person in einer Wohnung - Google Patents

Verfahren und Vorrichtung zur Fernüberwachung der Aktivität einer Person in einer Wohnung Download PDF

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Publication number
EP1705617A2
EP1705617A2 EP06075633A EP06075633A EP1705617A2 EP 1705617 A2 EP1705617 A2 EP 1705617A2 EP 06075633 A EP06075633 A EP 06075633A EP 06075633 A EP06075633 A EP 06075633A EP 1705617 A2 EP1705617 A2 EP 1705617A2
Authority
EP
European Patent Office
Prior art keywords
activity
electrical
equipment
person
indicator
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Ceased
Application number
EP06075633A
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English (en)
French (fr)
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EP1705617A3 (de
Inventor
Marc Berenguer
Hervé PROVOST
Floriane Gallay
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Orange SA
Original Assignee
France Telecom SA
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Filing date
Publication date
Application filed by France Telecom SA filed Critical France Telecom SA
Publication of EP1705617A2 publication Critical patent/EP1705617A2/de
Publication of EP1705617A3 publication Critical patent/EP1705617A3/de
Ceased legal-status Critical Current

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    • G—PHYSICS
    • G08—SIGNALLING
    • G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
    • G08B21/02—Alarms for ensuring the safety of persons
    • G08B21/04—Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons
    • G08B21/0407—Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons based on behaviour analysis
    • G08B21/0423—Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons based on behaviour analysis detecting deviation from an expected pattern of behaviour or schedule
    • G—PHYSICS
    • G08—SIGNALLING
    • G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
    • G08B21/02—Alarms for ensuring the safety of persons
    • G08B21/04—Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons
    • G08B21/0438—Sensor means for detecting
    • G08B21/0484—Arrangements monitoring consumption of a utility or use of an appliance which consumes a utility to detect unsafe condition, e.g. metering of water, gas or electricity, use of taps, toilet flush, gas stove or electric kettle
    • G—PHYSICS
    • G08—SIGNALLING
    • G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
    • G08B21/02—Alarms for ensuring the safety of persons
    • G08B21/04—Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons
    • G08B21/0438—Sensor means for detecting
    • G08B21/0492—Sensor dual technology, i.e. two or more technologies collaborate to extract unsafe condition, e.g. video tracking and RFID tracking
    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
    • G07C3/00—Registering or indicating the condition or the working of machines or other apparatus, other than vehicles

Definitions

  • the invention relates to the field of measuring and remotely monitoring the activity of a person, and more specifically to a method and a device for remotely monitoring the activity of a person in a building.
  • the object of the invention is therefore to provide a method and a device for remotely monitoring the activity of a person in a building, which do not have the drawbacks stated for known prior solutions, and in particular make it possible to reliably monitor this activity. activity while being simple and inexpensive to install.
  • the invention takes advantage of the fact that it is possible to detect a change of electrical state of operation of a device by detecting electrical signals produced on the electricity distribution network. Such a change in electrical operating state occurs especially when a user turns on or off either the device itself or an electrical subassembly of this device. It is therefore possible to detect the use of this device from the electrical signals produced on the electricity distribution network.
  • the detection of electrical signals can be performed extremely simply, for example from a simple clamp meter.
  • This detection technique also makes it possible to observe the use of all electrical appliances in the building, from a single electrical detection point.
  • the invention thus makes it possible to avoid the setting up of numerous sensors in a remote monitoring system of the activity of a person.
  • the activity estimate is determined in the form of at least one activity indicator representative of the probability of performing at least one type of activity by the person to be followed.
  • a probabilistic type of analysis proves to be appropriate for dealing with information related to the detection of predefined signals produced by electrical equipment. It is also sufficient to detect variations in the behavior of the person to follow.
  • the generation of a weighting value for a device according to the type of activity to which it can be associated fits into a context of probabilistic analysis. It makes it possible to make the method of determining the activity indicators independent of the nature of the different devices considered since they are taken into account according to the weighting value which is assigned to them.
  • the determination of the activity indicators is adapted to both the degree of equipment of the building, the season, the time of day as well as the characteristics of use of the electrical equipment. It is therefore possible to determine the activity indicators in a fine and adapted manner to the person to follow, to his type of habitat, to his way of life.
  • the activity indicators thus obtained are particularly relevant and representative of the activity of the person.
  • the method according to the invention further comprises a step of determining at least one relative indicator of activity, this relative indicator of activity being representative of the normal character of the activity of the person in said building over a period of time. This determination is made from at least one activity indicator determined for the same period of time and by comparison with reference data representative of the activity of the person over the same period of time.
  • This relative activity indicator is a global measure of the person's activity. It facilitates the tracking of a large number of people and makes possible an automated monitoring based on the value of this global measure. This makes it possible, for example, to trigger an alert conditional on the value of this relative indicator of activity.
  • a change of electrical state is produced as a result of an action performed by the person on the electrical equipment, this action being able to switch on or off the electrical equipment or a sub-unit.
  • the tracking data includes information on the nature of the action (power on / off) causing the electrical state change.
  • This information used in combination with the information on the moment of the detection, makes it possible to easily determine information relating to the total duration of use of this equipment (by difference between the date of power off and the date of entry under voltage) or the operating hours of this equipment.
  • This data processing device is preferably implemented in the form of a computer server.
  • the detection device, the processing server and the operating terminal are separate entities, however, according to an alternative embodiment, the processing server and the operating terminal can be collected geographically and integrated into a single computing device integrating the functions of the processing server and the operating terminal. Similarly, according to another embodiment, the detection device and the processing server can be merged into a single computer device integrating the functions provided by the processing server and the detection device.
  • the detection device 110, the processing server 150 and the operating terminal 180 respectively comprise communication means 117, 152 and 181 adapted to the nature of the communication network 50, for example conventional PSTN modems in the case of a switched telephone network (PSTN).
  • PSTN switched telephone network
  • the network 50 can also be an Internet-type network, a private network, a telephone network mobile, a WIFI-type wireless network, etc.
  • the method of transmitting information between the different entities of the system is also adapted to the nature of the network. In the case of a mobile telephony network, this transmission is effected for example by means of SMS short messages (short message service).
  • the building 100 includes a set of electrical equipment connected to the electricity distribution network 105. As shown in FIG. 1, this equipment is for example a lamp 101, a coffee maker 102, or any other electrical equipment 103.
  • the detection device 110 that equips the building according to the invention includes a module 115 for detecting and acquiring electrical signals generated on the electricity distribution network 105.
  • Each of the electrical signals detected is produced by one of the electrical equipment of the building when the equipment in question changes its electrical operating state. Most often the change of operating state is due to the power on or off of the electrical equipment considered.
  • FIGS 2a and 2b Examples of such electrical signals are shown as a function of time in Figures 2a and 2b . These figures respectively represent the electrical signal obtained during power-up of a coffee maker and that obtained during the power off of the coffee maker.
  • Simple electrical appliances such as a light bulb, often have only two signatures, a power-on signature and a power off signature.
  • a more complex electrical apparatus such as a washing machine typically operates in a cyclic process.
  • Such an apparatus can therefore present during the same cycle of use (prewash, wash, rinse, drain, spin, etc.) a different electromagnetic signature depending on the phases of this cycle, in particular because of the various electrical elements present and active in the device at each phase.
  • the detection module 115 is made from an ammeter clamp for measuring RF electrical signals, coupled with an electronic circuit for digitizing and recording the high frequency electrical signal measured via the ammeter clamp. .
  • This module made in the form of a housing, requires a simple electrical connection to the power supply network, for example at the electrical meter of the building. It is therefore particularly discreet and does not give an impression of intrusion to the person who will be followed. Finally, it is no longer necessary to set up a plurality of sensors since, through this single housing, it is possible to detect the operation, and therefore the use, of all the electrical equipment of the building.
  • the detection module 115 is also adapted to record, for each detected electrical signal, date and time information relating to the time of detection.
  • the monitoring data also comprise a confidence score, that is to say a numerical value indicating the degree of confidence in the identification of the equipment obtained through the identification data.
  • the date and time of the detection of the electrical signal are for example obtained from a clock signal present in the detection device, the recording of the date and time being triggered by the detection of the electrical signal.
  • the characterization data make it possible to characterize the change of electrical state by an indication relating to the action on the electrical equipment which is at the origin of the electrical signal.
  • This action can be the power on or off of the electrical equipment or the power on or off of an electrical subassembly of the electrical equipment.
  • the characterization data indicates whether a power up or a power off has been identified by analysis of said electrical signal.
  • the identification data of the electrical apparatus and the identification of the action that triggered the electrical signal are obtained by comparison between the detected high frequency signal, previously digitized and filtered by means of a high-pass filter, with a corresponding reference signal, which has been pre-recorded during a learning phase of the detection device 110.
  • a reference signal is thus pre-recorded during the learning phase for each action causing an electrical signal and each of the electrical equipment considered.
  • At least two reference signals respectively corresponding to the power on and off of the equipment or an electrical subassembly of this equipment.
  • the comparison of the detected signal with the pre-recorded reference signals is performed by means of an algorithm of signal correlation. In this way, by seeking the maximum correlation, one can determine firstly the electrical equipment concerned by the detection and secondly the action (power on or off) that triggered the signal.
  • the aforementioned confidence score that can be included in the tracking data is defined from the correlation level obtained between the detected electrical signal and the reference signal for which the correlation is the best. Indeed, a low correlation level, corresponding to a low correlation, indicates that there is a doubt about the identification of the electrical device.
  • the detection device 110 comprises communication means 117 which are used to transmit to the processing server 150 the tracking data obtained following a detection. The latter then analyzes the data received.
  • Deporting the analysis of the monitoring data on the processing server 150 allows on the one hand to lighten the detection device 110, set up in the person to follow, and on the other hand, allows to implement implement more powerful data processing means, deported in the processing server 150.
  • the processing server may, depending on its processing capacity, be in communication via the communication network 50 with a plurality of detection devices 110 each placed in a different person.
  • the generation of part of the tracking data is performed not in the detection device but in the processing server itself.
  • the detection device transmits to the processing server at each detection only the digitized electrical signal and the date and time of detection.
  • the identification data of the equipment as well as the data characterizing the use that is made of it by a type of action can then be determined by the processing server if it has reference signals from each device and from each device. action to detect.
  • the processing server 150 comprises, in addition to the communication means 152, data processing means 151, typically one or more calculation processors, and data recording means 153, typically one or more computer hard drives.
  • the processing server 150 is in functional communication with the operating terminal 180.
  • the operating terminal 180 comprises, in addition to the communication means 181, 183 data processing means, typically one or more computing processors and data display means 182, typically a display screen.
  • the first phase may be repeated several times before the execution of the second phase, and the execution of the second phase assumes at least one execution of the first phase.
  • the second phase is executed periodically, for example every hour from the tracking data generated during the period considered, while the first phase is triggered by the detection of an electrical signal on the network of distribution of electricity, and can be executed at any time and in parallel with one of the stages of the second phase.
  • the two aforementioned phases are preferably performed by two independent devices and distributed around the network 50, namely the detection device 110 on the one hand, and the processing server 150 on the other hand.
  • step S210 the detection device 110 detects a high frequency electrical signal on the electricity distribution network 105.
  • the tracking data generated by the detection device 110 is then transmitted via the communication network 50 to the processing server 150 which records them.
  • the set of tracking data stored in the processing server constitutes a history of the different detections that took place in a period of time. given time.
  • the following table provides an example of recorded tracking data for a given time period, in this example from 12:50 to 16:55. It thus includes for each recording, a date and time, an identification of the identified electrical device and the operating state of the device (on or off) resulting from the power on or off of the device.
  • dated Hour Apparatus Action / State 05/07/2004 12:50:05 Coffee maker alight 05/07/2004 12:50:40 coffee maker off 05/07/2004 12:50:58 lamp 1 alight 05/07/2004 12:51:17 lamp 1 off 05/07/2004 1:36:52 p.m. lamp 2 alight 05/07/2004 1:36:53 p.m.
  • the second phase of the method corresponding to the steps S230-S260 of analysis and exploitation of the monitoring data, is preferably triggered periodically, even in the absence of detected data, so as in particular to enable an alarm trigger in such a situation.
  • a predetermined threshold value for example. example greater than 15 minutes (min), value below which the analysis of the monitoring data relating to this single period is not significant.
  • the analysis of the data can be performed at shorter time intervals but on a sliding window in time, whose width is predefined, for example fixed at 1 hour (h), 6h or 24h.
  • the analysis of the data can be performed on several sliding windows over time, for example on a window of 1 h, on a window of 6 h and on a window of 24 h. In this way, it is possible to detect both momentary fluctuations in the activity (for example, the person did not get up at the usual time or no detection took place in the last hour) and average fluctuations. on a day (for example, the person has only been fed once in the last 24 hours or has hardly moved in the last 24 hours).
  • the processing server 150 determines, from the tracking data, activity indicators relating to different types of activities of the person.
  • activity indicators are preferably indicators used in the medical setting, for example an ADL indicator ( "Activity of Daily Living", activity of daily living) according to the Katz scale or an IADL indicator ("Instrumental Activity”). of Daily Living “, instrumental activity of daily life) according to the Lawton scale.
  • ADL indicators refer to different types of basic activity: washing, dressing, going to the bathroom, moving around, being a continent, eating.
  • the IADL indicators relate to types of complementary activities that are: telephone, shopping, preparing a meal, cleaning, washing clothes, using transportation, taking medication, keeping a budget. For each of these indicators, it is distinguished according to need between 3 and 7 levels characterizing the degree of autonomy or dependence of the person for each of these types of activity.
  • the determination of the indicators is performed according to a predetermined set of parameters representative of association rules 232 and weighting criteria 231. These parameters are personalized for a given person according to the level of equipment. electric of its habitat and / or according to its habits.
  • the habits of the person are determined during a preliminary interview, conducted for example by a doctor.
  • the level of electrical equipment is determined during the installation of the detection device and after identifying the different devices that will be taken into account during the detection. These parameters are preferably determined prior to the initialization of the process, and then recorded for reuse at each iteration of the process.
  • association rules are to define whether electrical equipment is representative of a given type of activity. With each detectable electrical equipment, One or more activity indicators are thus associated, depending on the nature of the equipment and / or on its location in the building. Activity indicators associated with electrical equipment are those for which the probability, the type of activity for which this indicator of activity is representative, is achieved when using the electrical equipment, is significant or simply non-zero. .
  • each electrical equipment is associated with the room of the building in which it is located. Then, each piece is associated with one or more activity indicators depending on the nature of the activity to which this piece is dedicated. For example, all electrical equipment belonging to the kitchen will be associated by this method to the kitchen and therefore the activity "to feed” or "prepare a meal". Thus even electrical equipment, usually insignificant for a given activity, is taken into account when determining the activity indicator for this activity. For example, lighting a lamp in the kitchen does not mean that the person is or is eating. However, lighting a lamp in the kitchen, if it is simultaneous with lighting an electric plate, increases the likelihood that the person is going or is eating.
  • the table below is an example of a definition of associations between electrical appliances, rooms in the home or building, and activity indicators.
  • the activity "to feed” or “cook” is associated with the kitchen and the list of electrical equipment of this kitchen.
  • the “getting dressed” activity is associated with the room and the list of electrical equipment in this room.
  • the “cleaning” activity is associated with all the parts and the list of equipment including the vacuum cleaner and the iron.
  • the activity “to move” is associated with all the parts and the electrical equipment of all the parts, in particular with the bulbs of the electric lamps of all the parts.
  • the house or building comprises a single room (case of a studio)
  • “virtual” rooms corresponding to areas of the building that are used in place of the usual rooms.
  • the room “kitchen” can be defined as the space of the building that is occupied by the kitchenette or the "kitchen area” that is arranged in the studio.
  • the notion of room in the context of the invention therefore does not necessarily imply a limitation by walls or partitions of the part of the building in question, but corresponds to a part of the building that is assigned to a given feature.
  • weighting values are determined prior to execution of step S230 of the method according to the invention. For each detectable electrical equipment and for each activity indicator with which this electrical equipment is associated, a value of representative weighting of the probability that the type of activity, for which this indicator of activity is representative, is achieved when using this equipment. In other words, the more the use of the device makes it possible to confirm that the person performs an activity of a given type and the weighting value associated with this device for this activity will be important.
  • the equipment "electric plate” will have a weighting value higher than the equipment “bulb” of the kitchen. Indeed, it is more likely that a person will feed when using the electric plate than when it lights the kitchen light.
  • the time of day is a weighting criterion used to characterize the normal hours of completion of a type of activity.
  • the activity indicator and the weight value assigned to said device will be higher than when the usage is outside this range. For example, if the electric plate is lit between 11:30 and 14:30 or between 18:00 and 21:00, then the indicator of activity "to feed" will be more important than if it is lit at 4am.
  • the activity indicator also depends on the status (on or off) of other devices listed in the same room. Indeed if some are lit at the same time, the probability of the person performing the corresponding type of activity is greater and the activity indicator is higher. For example, if the fume hood is fired at the same time as the hotplate, the probability of completing the "feed" activity is greater than if there had been only the fume hood.
  • a given activity indicator is therefore preferably determined from all the weighting values assigned to the devices associated with this indicator.
  • the activity indicator since the number and type of devices varies according to each building, the activity indicator must be able to be calculated according to different weighting values. For example, if a person A is only equipped with an electric plate in his kitchen, and if a person B is equipped with 10 electrical appliances, the calculation of the activity indicator must take into account the number of appliances. Indeed, if we assign the same weighting values to the equipment of the two persons, then the person A will never have an indicator of activity high enough to validate the accomplishment of the activity "to feed" while it will have indeed achieved.
  • the activity indicator may vary according to the ignition time of the device, in the sense that the ignition of the device is only relevant from a certain minimum time of use that we will have defined beforehand. For example, if an oven is turned on for 30 minutes, it will enter the calculation of the activity indicator. But if it has been on for one minute then off, this use is not taken into account for the calculation of the activity (zero weighting value) or is taken into account only with a weighting value more low.
  • the weighting value associated with a device takes into account, in addition to the season, the climate and the outside temperature, without the addition of an additional sensor. For example, in the middle of summer, at noon on a sunny day, a person may cook and eat in his kitchen without turning on the light because it is light enough in the room.
  • the date of the detection of the actuation of a device is used to modulate the weighting values of the luminaires, either according to the hours of the sunrise and sunset or the sunshine, or according to the season or the estimated average temperature for the season.
  • the weighting value associated with a device, and therefore the indicator derived therefrom, also depends on the confidence score of the detection performed. If there is uncertainty about the detected device, its operation is not taken into account for the calculation of the activity or is taken into account only with a lower weighting value.
  • the different weighting values are determined by taking into account the information known by the doctor about the habits of the person to be followed and / or according to a learning phase previously performed in the patient and which gives references to his lifestyle, for example, the number of his trips, his meal times, the rooms most often occupied, unused electrical appliances, the days of the week with different schedules, etc.
  • the activity indicator can also be refined according to the devices used not only simultaneously, but also those used immediately after or just before another device belonging to the same room, or those used during a defined time slot. For example, if the oven is turned off after turning off the plate, the probability of being eaten is greater than if there had been only the oven.
  • the table below gives an example of taking into account the time of day in the weighting assigned to a given piece of equipment.
  • the predefined list of equipment considered includes: bulbs, plates, microwave, kettle, coffee maker, toaster, freezer, extractor hood and fridge. If the detection of power on the toaster occurs in the time slot from 5am to 9am, the weighting value will be higher than if this detection occurs in another time slot. Similarly, if the detection of the use of the freezer occurs in the time slot from 11 am to 14h, the weighting value will be higher than if this detection occurs in another time slot.
  • the time period considered may also vary depending on the day of the week.
  • Time of the day Time interval Weighting value of the device according to the time of day Breakfast [5h - 9h] bulbs 1 plates 3 microwave 3 kettle 3 coffee maker 3 toaster 3 freezer 0 extractor hood 1 fridge two Lunch [11h-14h] bulbs 1 plates 3 microwave 3 kettle 3 coffee maker 3 toaster 0 freezer two extractor hood 3 fridge two
  • the weighting values associated with criteria that are independent of the detections made are preferably predetermined by tables.
  • the other weighting values, which are dependent on the detections made are in turn determined. dynamically from the recorded tracking data.
  • a representative global weighting value is determined according to these criteria of the relevance of the use of the equipment in the determination of a given activity indicator.
  • This global weighting value is obtained for example by weighted average or multiplication of weighting values (in the case where they are normalized between 0 and 1) obtained according to each of the criteria considered individually.
  • the weighting values associated with different time slots, given days of the week or different calendar periods are stored in different tables, a table corresponding each time to a time slot. , at a given day of the week and at a given calendar period.
  • the value of the indicator will be between 75% and 100%, the value of 100% corresponding to the detection of all the devices associated with this indicator and this time slot.
  • the weighting between the 75% value and the 100% value depends on the number of devices detected for that indicator and range, and their respective weighting values.
  • the value of the indicator will be between 60% and 75%, the value of 75% corresponding to the detection of all the devices associated with this indicator and this time slot, except those with a value of weighting 3.
  • the weighting between 60% and 75% depends on the number of devices detected for that indicator and range, and the respective weighting values of those devices.
  • the remaining 15% between 60% and 75% is preferably prorata weighting values of electrical equipment associated with this indicator, other than the one having been detected at a weighting value of 2 in step b) and other than those having a weighting value of 3.
  • weighting values allow not only integration into the calculation of activity indicators of a succession of weighting criteria, but also allows great flexibility in the customization of the determination of activity indicators. .
  • the weighting values are in fact adaptable to the lifestyle of the person to be followed and to the level of electrical equipment of their habitat, which allows a completely personalized determination of the various indicators of activity.
  • step S230 of FIG. 3 the processing server 150 determines each activity indicator relative to a given period of time, from the weighting values determined for the electrical equipment that has been detected in this period and which are associated with this activity indicator.
  • the activity indicator thus determined is in fact a probability of performing the type of activity for which this indicator is representative.
  • the value of this indicator is preferably defined according to a predefined scale, for example between 0 and 100%, between 0 and 10, between 0 and 1 or on any other scale.
  • the activity "to move” is indeed a particular activity whose indicator requires a suitable method of determination.
  • the power on or off of an electrical equipment it is possible to determine if a displacement between two parts has taken place by comparing the room where the equipment which has just been detected is located. the room where the previously detected equipment is located. For example, the detection of the powering up of an electric lamp in the kitchen, followed by the powering up of the electric shaver in the bathroom, leads to the conclusion that a trip has taken place between the kitchen and the bathroom. bath, this trip having for starting point the kitchen. If the pieces of arrival and departure are identical, one does not record any displacement. In the opposite case, a displacement counter is incremented for each pair of pieces.
  • the number of displacements detected over a given period of time is recorded in an array, for example in the form of a matrix giving the number of displacements for each type of displacement.
  • the table below is an example of such a record. ⁇ Arrival departure ⁇ Cooked Bedroom Dining room Bathroom WC Total Cooked X 0 5 0 1 6 Bedroom 1 X 1 1 1 4 Dining room 3 1 X 1 3 8 Bathroom 1 1 0 X 1 3 WC 1 two two 1 X 6 Total 6 4 8 3 6 27
  • each room is assigned a minimum occupancy time below which it is considered that there has been no occupation of the room. In this case, the occupation is not memorized, and neither does the displacement that took place correlatively occur.
  • the global activity indicator "to move” is determined for example by determining the total number of displacements. According to a variant, this value is weighted according to the average duration of occupation of each of the pieces. Indeed, the shorter this duration, the higher the frequency of movements, which is indicative of greater mobility.
  • the operating data including the activity indicators and other quantities relating to movement or occupation of the parts, are then compared to step S240 of FIG. 3 with a set of reference or reference data 241 to determine in step S250 an overall relative indicator representative of the normal character of the activity of the person in his environment when it is examined over a given period of time.
  • This global information makes it possible, in the event of an anomaly, to trigger in step S260 an alert or the sending of a message via the communication network 50 to the persons likely to intervene: emergency service, doctor, family member, etc.
  • the global relative indicator determined by the processing server 150 is transmitted to the operating terminal 180.
  • the operating terminal 180 determines from this indicator whether an alert should be triggered.
  • the operating data are displayed on display means 182 of the operating terminal and it is a natural person, for example a doctor 190, who is assigned to the monitoring of the indicators and assesses whether a alert must be triggered in view of the displayed operating data.
  • the average activity indicator may be low without this being abnormal for the person in question.
  • a measure of what is "normal” for the person being followed that is, what corresponds to a statistical average.
  • the repository is best obtained in calculating not only an average value of each magnitude of the frame of reference, but also a standard deviation of the distribution of this magnitude. It is considered that the situation becomes abnormal when the total number of trips determined for the period considered is less than the average value of the frame of reference to which a value has been subtracted proportional to the corresponding standard deviation, for example twice the difference type.
  • the same principle of detection of abnormal character is applicable to the other quantities of the reference system, for example to the number of displacement for a given type of displacement, to the average hourly period of occupation of a part, to the value of an indicator of activity, etc.
  • the average values obtained by measurement are supplemented by an interview with the person to follow in order to know his habits and to possibly weight the data of the reference system according to these habits.
  • This interview also aims to determine if the person is away from home at certain times during the week or in the day, so as not to trigger an alert if there is no detection at these times.
  • a distinction is made in the repository between the values of the quantities relating to different days in the week.
  • the weighting values that are predetermined are also adjustable according to the results of such maintenance as has already been described.
  • the repository is updated cyclically, for example every month, every 6 months, or with another periodicity, according to new average values detected.
  • the repository is updated cyclically, for example every month, every 6 months, or with another periodicity, according to new average values detected.
  • Generating a global relative indicator in the form of a single measurement makes it possible to automatically track a large number of people from the same operating terminal in so far as the latter collects data determined for all These persons. This triggers alerts based on the value of this global indicator.
  • the invention allows a remote monitoring of the activity of a person from an electrical signal generated on the building's electricity distribution network and without requiring the installation of many sensors.
  • the tracking information recorded following the detections made are used by comparison with reference data representative of the normal character of the activity of the person to follow.
  • the activity indicators are estimated according to the detected equipment and from the statistical knowledge of the activity of the person (the repository, the habits of the person), rules associating a device to an activity, weighting criteria allowing the algorithm of determination to be adapted to the equipment level of the person, to his habits, to the conditions of detection, etc.
  • the invention thus makes it possible, starting from very simple means of detection and a method proceeding by weighting values, to reach a high degree of precision and reliability in the monitoring of the person.
  • the invention is adapted for the simultaneous monitoring of a multitude of people, by determining a global relative indicator on the basis of which prevention measures can be triggered fully automatically.
  • the invention applies to the measurement of activity to any type of building, whether for private or professional use.
  • the invention therefore has applications in the field of remote monitoring, especially for business premises. It can be applied to the measurement of the activity of several people operating within a building insofar as a global measure for all persons - and not individual - is sufficient for the application concerned.

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  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Gerontology & Geriatric Medicine (AREA)
  • Business, Economics & Management (AREA)
  • Emergency Management (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Psychiatry (AREA)
  • Psychology (AREA)
  • Social Psychology (AREA)
  • Engineering & Computer Science (AREA)
  • Multimedia (AREA)
  • Alarm Systems (AREA)
  • Emergency Alarm Devices (AREA)
  • Telephonic Communication Services (AREA)
EP06075633A 2005-03-24 2006-03-16 Verfahren und Vorrichtung zur Fernüberwachung der Aktivität einer Person in einer Wohnung Ceased EP1705617A3 (de)

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FR2950152A1 (fr) * 2009-09-15 2011-03-18 Commissariat Energie Atomique Procede et systeme de determination de l'activite d'une personne, support d'enregistrement pour ce procede
FR2950151A1 (fr) * 2009-09-15 2011-03-18 Commissariat Energie Atomique Procede et systeme de localisation d'une personne, support d'enregistrement pour ce procede
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CN103475091A (zh) * 2013-08-20 2013-12-25 国家电网公司 一种电网关口电能计量管理***
WO2015198007A1 (en) * 2014-06-26 2015-12-30 Cocoon Alarm Ltd Intruder detection method and system
DE102016111351A1 (de) 2016-06-21 2017-12-21 Emh Metering Gmbh & Co. Kg Elektrisches Haushaltsgerät mit einer Datenübertragungseinrichtung und Vorrichtung zum Empfangen von Daten von einem solchen Gerät
CN106846727A (zh) * 2016-12-28 2017-06-13 广东格兰仕集团有限公司 基于家电设备监控意外事故的预警***及其控制方法

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JP5058504B2 (ja) 2012-10-24
US20060261962A1 (en) 2006-11-23
US7755493B2 (en) 2010-07-13
EP1705617A3 (de) 2011-04-20

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