WO2019127966A1 - 人体活动状态判断方法、装置及可读存储介质、空调器 - Google Patents
人体活动状态判断方法、装置及可读存储介质、空调器 Download PDFInfo
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- WO2019127966A1 WO2019127966A1 PCT/CN2018/081477 CN2018081477W WO2019127966A1 WO 2019127966 A1 WO2019127966 A1 WO 2019127966A1 CN 2018081477 W CN2018081477 W CN 2018081477W WO 2019127966 A1 WO2019127966 A1 WO 2019127966A1
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- activity state
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
- F24F11/63—Electronic processing
- F24F11/64—Electronic processing using pre-stored data
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- the invention relates to the field of human body condition detection application, in particular to a human body activity state determination method and device, and a readable storage medium and an air conditioner.
- the main object of the present invention is to provide a method, a device, and a readable storage medium and an air conditioner for determining a human body activity state, which are intended to more accurately and conveniently identify a human body activity state.
- the present invention provides a method for judging a human body activity state, comprising the following steps:
- the step of acquiring temperature scan data of the target area to determine whether the target area exists in the human body comprises:
- the step of determining activity information of the human body according to the temperature scan data comprises:
- the average activity speed of the human body is determined according to the activity distance and the preset calculation period.
- the method further includes:
- the timing is started until the preset duration is reached, and the step of measuring the actual body surface temperature value of the human body and the ambient temperature value of the target area is performed.
- the step of determining the active state of the human body according to the actual body surface temperature value, the theoretical body surface temperature value, and the activity information of the human body includes:
- the activity state of the human body is determined according to the matching result.
- the method further includes:
- the step is re-executed: obtaining the temperature scan data of the target area.
- the target area is scanned by an infrared sensor to acquire temperature scan data of the target area; wherein the temperature scan data is a temperature data set composed of pixel temperature data per unit area.
- the present invention also provides a human activity state judging device, including: a memory, a processor, and a human body stored on the memory and operable on the processor Activity status determination program, where:
- the human activity state determination program is executed by the processor to implement the steps of the human activity state determination method as described above.
- the present invention further provides a readable storage medium, wherein the readable storage medium stores a human activity state determination program, and the human activity state determination program is executed by the processor to implement the human body as described above. The steps of the activity state determination method.
- the present invention also provides an air conditioner including the human body activity state judging device as described above.
- the method and device for judging human activity state and the readable storage medium and the air conditioner are provided by the embodiment of the present invention.
- the temperature scan data of the target area is obtained to determine whether the target area exists in the human body.
- the actual body surface temperature value of the human body, the ambient temperature value of the target area is determined, and the theoretical body surface temperature value of the human body in a static state is calculated by the ambient temperature value.
- the corresponding activity state of the human body is judged.
- This embodiment avoids directly calculating the activity amount (or the active metabolic rate) of the human body that is difficult to calculate, and at the same time subtly reflects the activity amount (or the activity metabolic rate) of the human body through other parameter values that are easy to measure or calculate, thereby being accurate. Determine the active state of the human body.
- the human body activity state judging method provided by the embodiment of the invention has the advantages of accurate judgment, high reliability and strong versatility.
- FIG. 1 is a schematic structural diagram of an operating environment of a human body activity state judging device that implements various embodiments of the present invention
- FIG. 2 is a schematic flow chart of a first embodiment of a method for determining a human activity state according to the present invention
- step S20 of the first embodiment of the method for determining the state of human activity according to the present invention is a schematic flowchart of the refinement of step S20 of the first embodiment of the method for determining the state of human activity according to the present invention
- FIG. 4 is a schematic diagram of a human activity process of a human body activity state determination method according to the present invention.
- FIG. 5 is a schematic flow chart of a second embodiment of a method for determining a human activity state according to the present invention.
- FIG. 6 is a schematic flow chart of a third embodiment of a method for determining a human activity state according to the present invention.
- FIG. 7 is a flowchart of a process for implementing a human body activity state determination method according to the present invention.
- Figure 8 is a graph showing the experimental data of a correlation between the amount of human activity and the average activity rate of the human body.
- the embodiment of the present invention provides a method for judging a human body activity state, which includes the following steps: acquiring temperature scan data of a target area to determine whether the target area exists in a human body; if present, Determining activity information of the human body according to the temperature scan data; measuring an actual body surface temperature value of the human body, an ambient temperature value of the target area; and calculating a theoretical body surface temperature of the human body according to the ambient temperature value a value; determining an activity state of the human body according to the actual body surface temperature value, the theoretical body surface temperature value, and activity information of the human body.
- the human activity state judging device may specifically be a device/device having a micro control unit (MCU) or a central processing unit (CPU); understandably, the device is configured to perform a temperature field scanning function on a spatial area.
- Sensing component/module such as an infrared sensing component; or the device controls a sensing component/module having a temperature field scanning function for the spatial region to obtain temperature scan data.
- FIG. 1 is a schematic structural diagram of an operating environment of a human activity state judging device according to an embodiment of the present invention, which may specifically include: a processor 1001, such as a CPU, a network interface 1004, a user interface 1003, a memory 1005, and communication. Bus 1002. Among them, the communication bus 1002 is used to implement connection communication between these components.
- the user interface 1003 can include a display, an input unit such as a keyboard, and the optional user interface 1003 can also include a standard wired interface, a wireless interface.
- the network interface 1004 can optionally include a standard wired interface, a wireless interface (such as a WI-FI interface).
- the memory 1005 may be a high speed RAM memory or a non-volatile memory such as a disk memory.
- the memory 1005 can also optionally be a storage device independent of the aforementioned processor 1001.
- the human activity state judging device may further include a camera, an RF (Radio Frequency) circuit, a sensor, an audio circuit, a WiFi module, and the like.
- sensors such as light sensors, motion sensors, and other sensors.
- smart TVs can also be equipped with other sensors such as gyroscopes, barometers, hygrometers, thermometers, infrared sensors, etc., and will not be described here.
- FIG. 1 does not constitute a limitation on the human activity state judging device, and may include more or less components than those illustrated, or combine some components, or different. Assembly of parts.
- the memory 1005 as a storage medium may include an operating system, a network communication module, a user interface module, and a human activity state determination program.
- the network interface 1004 is mainly used to connect to a server and perform data communication with the server;
- the user interface 1003 is mainly used to connect a client (user end) to perform data communication with the client; and the processor
- the 1001 can be used to call the human activity state determination program stored in the memory 1005 and perform the following operations:
- processor 1001 may call the human activity state determination program stored in the memory 1005, and further perform the following operations:
- processor 1001 may call the human activity state determination program stored in the memory 1005, and further perform the following operations:
- the average activity speed of the human body is determined according to the activity distance and the preset calculation period.
- the timing is started until the preset duration is reached, and the step of measuring the actual body surface temperature value of the human body and the ambient temperature value of the target area is performed.
- processor 1001 may call the human activity state determination program stored in the memory 1005, and further perform the following operations:
- the activity state of the human body is determined according to the matching result.
- processor 1001 may call the human activity state determination program stored in the memory 1005, and further perform the following operations:
- the step is re-executed: acquiring temperature scan data of the target area.
- processor 1001 may call the human activity state determination program stored in the memory 1005, and further perform the following operations:
- the target area is scanned by an infrared sensor to obtain temperature scan data of the target area; wherein the temperature scan data is a temperature data set composed of pixel temperature data per unit area.
- an embodiment of the present invention provides an air conditioner including the human body activity state judging device as described above. That is, the air conditioner is provided with the human body activity state judging means as described above for realizing the judgment of the human body activity state. Understandably, through the judgment result of the human activity state, the refrigeration or other working modes of the air conditioner can be more accurately and efficiently controlled.
- a first embodiment of the present invention provides a method for determining a human activity state, which includes the following steps:
- Step S10 Obtain temperature scan data of the target area to determine whether the target area has a human body
- the target area is a range area in which the human activity state judging device can perform temperature scanning, and specifically may be a front area of the judging device.
- the target area can be periodically scanned by an infrared sensor provided on the device, thereby acquiring temperature scan data of the target area.
- the scan period can be set to 1 second.
- the target area is scanned by an infrared sensor to acquire temperature scan data of the target area; wherein the temperature scan data is a temperature data set composed of pixel temperature data per unit area.
- the infrared temperature image corresponding to the target area scanned by the infrared sensor is divided into areas, and the divided unit area is regarded as one area pixel unit.
- the method includes: determining, according to the temperature scan data, an average radiation temperature value of the target area; determining, according to the temperature scan data and the average radiation temperature value, whether the temperature distribution of the target area conforms to a preset human body existence Judging the rule; if it is met, determining that the target area exists in the human body. That is, according to the principle that the body surface temperature and the ambient temperature are significantly different, based on the temperature distribution of the target area, the local area in the target area and the ambient background temperature is determined to be the area where the human body is located.
- the step is re-executed: obtaining the temperature scan data of the target area.
- Step S20 if yes, determining activity information of the human body according to the temperature scan data
- step S20 specifically includes:
- Step S21 determining, according to the temperature scan data, a first spatial position and a second spatial position where the human body is located before and after a preset calculation period;
- the target area is scanned by the infrared sensor to obtain temperature scan data of the target area. More specifically, each scan area is divided into 32*24 area pixel units, 32 units in the X direction and 24 units in the Y direction.
- the infrared sensor detects the activity track of the human body. For example, the temperature scan is performed at a certain moment to determine the first spatial position where the human body is located; after the preset calculation period t, the temperature scan is performed again to determine the second spatial position where the human body is located.
- the first and second spatial positions are preferably spatial position coordinates of the human body.
- the preset calculation period t can be set to a certain length of time, for example, 30 seconds. Understandably, after a long period of time, the active distance of the human body is the sum of the plurality of preset times t corresponding to the active distances.
- Step S22 calculating an activity distance of the human body according to the first and second spatial positions
- the active distance of the human body is calculated according to the first and second spatial positions, which is the total length of the human activity track within the preset calculation period t, rather than the displacement length of the human activity within the preset time t.
- Step S23 determining an average moving speed of the human body according to the active distance and the preset calculation period
- t is the preset calculation period (unit: s)
- S i is the active distance (unit: m) of the human body in the i-th preset calculation period t
- FIG. 4 is a schematic diagram of a human body activity process.
- the X and Y directions respectively indicate the direction perpendicular to each other in the horizontal plane; the human body moves from the point A (x1, y1) to the point B (x2, y2) within the preset calculation period t, and the corresponding human activity track is S1, then The active distance of the human body is S1, which is obviously different from the displacement trajectory S2 of the human body.
- the average active speed v S1/t of the human body at the preset calculation period t. For example, if the total length of the active trajectory of the human body is detected to be 9 meters within 30 seconds of the preset calculation period, the corresponding average human body activity speed is 0.3 m/sec.
- step S23 the method further includes:
- Step S24 confirming whether the average activity speed matches a preset speed interval
- Step S25 if yes, monitoring whether the average activity speed is maintained in the preset speed interval
- steps S21-S24 are repeatedly performed to confirm whether the average moving speed of the human body is maintained in the original speed interval.
- Step S26 if the average moving speed is not maintained in the preset speed interval, step S21 is performed: determining, according to the temperature scan data, a first spatial position and a second position of the human body before and after the preset calculation period Spatial location;
- Step S27 If the average activity speed is maintained in the preset speed interval, start timing until the preset duration is reached, and perform step S30: measuring an actual body surface temperature value of the human body, and an environment of the target area. Temperature value.
- a certain preset speed interval is 0.2-0.5 m/s.
- the average human body activity speed of a predetermined calculation period t is calculated to be 0.4 m/s
- the average activity speed of the human body is monitored to confirm the average human body activity. Whether the speed continues to be maintained in the speed range of 0.2-0.5 m/sec, and whether the duration of the average human body activity speed maintained in the preset speed interval reaches a preset duration (for example, 90 seconds).
- the preset duration is generally long, for example, 90 seconds and 120 seconds, to confirm whether the human body is stably maintained in a certain active state, thereby improving the accuracy of the human body activity state determination method of the embodiment.
- step S25 is re-executed; if the average moving speed of the human body satisfies the above two conditions at the same time, step S30 is performed.
- Step S30 measuring an actual body surface temperature value of the human body, and an ambient temperature value of the target area
- Step S40 calculating a theoretical body surface temperature value of the human body according to the ambient temperature value
- the actual ambient temperature T is the value of the target region
- the method for determining the ambient temperature Ta is the value of the target region may be: The actual position of the body surface temperature value T corresponding to the actual position of the body corresponding to the non-averaged temperature values, or to a position corresponding to a non-human The temperature values are averaged. Specifically, the position corresponding to the area pixel unit that has been determined to be the human body is marked for the regional human body position and the non-human body position.
- the theoretical body surface temperature value of the human body is further calculated; the theoretical body surface temperature value is a theoretical value of the human body surface temperature in a static state.
- the embodiment of the invention provides a better calculation formula:
- T theory a*T a 2 +b*T a -c
- T theory is the theoretical body surface temperature value (unit is °C)
- Ta is the ambient temperature value
- 16 °C ⁇ Ta ⁇ 35 ° C, a, b, c are the relevant temperature constants.
- Step S50 determining an activity state of the human body according to the actual body surface temperature value, the theoretical body surface temperature value, and the activity information of the human body.
- the body surface heat dissipation is accelerated, and the actual body surface temperature value of the human body is lower than the body surface temperature value at the static state, that is, the T actual ⁇ T theory .
- the faster the average activity speed of the human body the more intense the corresponding human activities and the greater the activity intensity. That is, the actual body surface temperature value T actually compares with the theoretical body surface temperature value T theory and the human body activity information comprehensively reflects the body's activity amount (or activity metabolic rate); according to the body's activity amount (or activity metabolic rate) Further determining the activity state of the human body.
- the target area by acquiring the temperature scan data of the target area, it is determined whether the target area has a human body.
- the actual body surface temperature value of the human body, the ambient temperature value of the target area is determined, and the theoretical body surface temperature value of the human body in a static state is calculated by the ambient temperature value.
- the corresponding activity state of the human body is judged.
- This embodiment avoids directly calculating the activity amount (or the active metabolic rate) of the human body that is difficult to calculate, and at the same time subtly reflects the activity amount (or the activity metabolic rate) of the human body through other parameter values that are easy to measure or calculate, thereby being accurate. Determine the active state of the human body.
- the human body activity state judging method provided by the embodiment of the invention has the advantages of accurate judgment, high reliability and strong versatility.
- FIG. 5 is a schematic flowchart of a second embodiment of determining a human body activity state. Based on the first embodiment of the foregoing method, step S10 specifically includes:
- Step S11 determining an average radiation temperature value of the target area according to the temperature scan data
- Step S12 determining, according to the temperature scan data and the average radiation temperature value, whether the temperature distribution of the target area meets a preset human body existence determination rule
- step S13 if it is met, it is determined that the target area exists in the human body.
- the temperature scan data is a temperature data set formed by unit area pixel unit temperature data, in other words, an infrared temperature image corresponding to a target area scanned by the infrared sensor is divided into areas, and the divided unit area is regarded as one. Area pixel unit. At this time, the arithmetic mean value of the corresponding temperature values of all the area pixel units, that is, the average radiant temperature value Tr is calculated.
- the preset human body existence determining rule includes: confirming whether there is a continuous area in the target area, and the temperature value of the adjacent area pixel unit exceeding at least a preset number (for example, 10) in the continuous area is greater than (Tr+1) °C. If there is a continuous area meeting the above conditions, it is determined that the target area exists in the human body. It should be noted that other technical solutions for determining whether a target area exists in the human body based on the temperature scan data are also within the protection scope of the embodiments of the present invention.
- the method is simple, reliable, and easy to implement.
- FIG. 6 is a schematic flowchart of a third embodiment of determining a human body activity state. Based on the first embodiment of the foregoing method, step S50 specifically includes:
- Step S51 confirming whether the actual body surface temperature value, the theoretical body surface temperature value, and the activity information of the human body match the parameter values corresponding to the preset human body activity state;
- the parameter values corresponding to the preset human body activity state include: a comparison result between the actual body surface temperature value and the theoretical body surface temperature value,
- step S52 if it matches, the activity state of the human body is determined according to the matching result.
- the temperature scan data of the target area is acquired by the infrared sensor, and it is determined whether or not the human body exists.
- the body activity information comprising the active trajectory corresponding to a certain period of human activity duration time t, and the human body in order to determine the The average activity speed v average over the duration of the activity time t.
- measuring the actual time to reach the active surface of the human body temperature value T actual when the ambient temperature value Ta duration t, and calculate the theoretical surface body temperature value T in the stationary state theory according to Ta.
- T actual , the T theory , the v average, and the t duration match the relationship between the human activity state and the human body activity amount, the body surface temperature value (T actual , T theory ), and human activity information (v average , t persistence ).
- Table a preferred relationship table is shown in the following table. That is, according to the determined T actual , T theory , v average and t persistence , the state of human activity is determined by means of table lookup.
- an embodiment of the present invention further provides a readable storage medium, where the readable storage medium stores a human activity state determination program, and when the human activity state determination program is executed by the processor, the following operations are implemented:
- the step of determining activity information of the human body according to the temperature scan data includes:
- the average activity speed of the human body is determined according to the activity distance and the preset calculation period.
- the timing is started until the preset duration is reached, and the step of measuring the actual body surface temperature value of the human body and the ambient temperature value of the target area is performed.
- the activity state of the human body is determined according to the matching result.
- the method further includes:
- the step is re-executed: obtaining the temperature scan data of the target area.
- the target area is scanned by an infrared sensor to obtain temperature scan data of the target area; wherein the temperature scan data is a temperature data set composed of pixel temperature data per unit area.
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Abstract
本发明提供一种人体活动状态判断方法,包括以下步骤:获取目标区域的温度扫描数据,以判断所述目标区域是否存在人体;若存在,则根据所述温度扫描数据确定所述人体的活动信息;测量所述人体的实际体表温度值、所述目标区域的环境温度值;根据所述环境温度值计算出所述人体的理论体表温度值;根据所述实际体表温度值、所述理论体表温度值及所述人体的活动信息,判断所述人体的活动状态。本发明还提供了一种人体活动状态判断装置及可读存储介质、空调器。本发明实现了对人体的活动状态进行准确识别,具有判断准确、可靠性高、通用性强的优点。
Description
本发明涉及人体状态检测应用领域,尤其涉及人体活动状态判断方法、装置及可读存储介质、空调器。
随着生活水平的改善,人们对于生活品质的要求也逐渐提高。而很多与人的生活品质密切相关的技术领域,例如空调器等家用电器领域,往往需要对人体的活动状态进行准确识别,以实现针对用户不同的活动状态进行更加精准的设备控制和提供更好的服务。
上述内容仅用于辅助理解本发明的技术方案,并不代表承认上述内容是现有技术。
发明内容
本发明的主要目的在于提供一种人体活动状态判断方法、装置及可读存储介质、空调器,旨在更加准确方便地识别人体活动状态。
为实现上述目的,本发明提供一种人体活动状态判断方法,包括以下步骤:
获取目标区域的温度扫描数据,以判断所述目标区域是否存在人体;
若存在,则根据所述温度扫描数据确定所述人体的活动信息;
测量所述人体的实际体表温度值、所述目标区域的环境温度值;
根据所述环境温度值计算出所述人体的理论体表温度值;
根据所述实际体表温度值、所述理论体表温度值及所述人体的活动信息,判断所述人体的活动状态。
优选地,所述获取目标区域的温度扫描数据,以判断所述目标区 域是否存在人体的步骤包括:
根据所述温度扫描数据,确定所述目标区域的平均辐射温度值;
根据所述温度扫描数据及所述平均辐射温度值,判断所述目标区域的温度分布情况是否符合预设人体存在判断规则;
若符合,则判定所述目标区域存在人体。
优选地,所述根据所述温度扫描数据确定所述人体的活动信息的步骤包括:
根据所述温度扫描数据,确定在预设计算周期前后所述人体所在的第一空间位置、第二空间位置;
根据所述第一、第二空间位置,计算所述人体的活动距离;
根据所述活动距离及所述预设计算周期,确定人体平均活动速度。
优选地,所述根据所述活动距离及所述预设计算周期,确定人体平均活动速度的步骤之后,还包括:
确认所述平均活动速度是否匹配预设速度区间;
若是,则监测所述平均活动速度是否维持在所述预设速度区间;
若所述平均活动速度未维持在所述预设速度区间,则执行步骤:根据所述温度扫描数据,确定在预设计算周期前后所述人体所在的第一空间位置、第二空间位置;
若所述平均活动速度维持在所述预设速度区间,则开始计时,直至到达预设持续时间,执行步骤:测量所述人体的实际体表温度值、所述目标区域的环境温度值。
优选地,所述根据所述实际体表温度值、所述理论体表温度值及所述人体的活动信息,判断所述人体的活动状态的步骤包括:
确认所述实际体表温度值、所述理论体表温度值、所述人体的活动信息是否匹配与预设人体活动状态对应的参数值;
若匹配,根据匹配结果确定所述人体的活动状态。
优选地,所述获取目标区域的温度扫描数据,以判断所述目标区域是否存在人体的步骤之后,还包括:
若不存在,则在预设扫描周期后,重新执行步骤:获取目标区域 的温度扫描数据。
优选地,通过红外传感器扫描所述目标区域,以获取所述目标区域的温度扫描数据;其中,所述温度扫描数据为单位面积像素温度数据构成的温度数据集。
此外,为实现上述目的,本发明还提供一种人体活动状态判断装置,所述人体活动状态判断装置包括:存储器、处理器及存储在所述存储器上并可在所述处理器上运行的人体活动状态判断程序,其中:
所述人体活动状态判断程序被所述处理器执行时实现如上所述的人体活动状态判断方法的步骤。
此外,为实现上述目的,本发明还提供一种可读存储介质,述可读存储介质上存储有人体活动状态判断程序,所述人体活动状态判断程序被处理器执行时实现如上所述的人体活动状态判断方法的步骤。
此外,为实现上述目的,本发明还提供一种空调器,所述空调器包括如上所述的人体活动状态判断装置。
本发明实施例提出的一种人体活动状态判断方法、装置及可读存储介质、空调器,通过获取目标区域的温度扫描数据,判断目标区域是否存在人体。当存在人体时,确定人体的实际体表温度值、所述目标区域的环境温度值,并通过环境温度值计算人体处于静止状态下的理论体表温度值。最终根据人体实际体表温度值与理论体表温度值的比较结果及人体的活动信息,判断人体对应的活动状态。本实施例避免了对难以计算的人体的活动量(或者活动代谢率)进行直接求取,同时巧妙地通过其他易于测量或者计算的参数值反映人体的活动量(或者活动代谢率),从而准确判断出人体的活动状态。本发明实施例提供的人体活动状态判断方法具有判断准确、可靠性高、通用性强的优点。
图1为实现本发明各实施例的人体活动状态判断装置的运行环境结构示意图;
图2为本发明人体活动状态判断方法第一实施例的流程示意图;
图3为本发明人体活动状态判断方法第一实施例步骤S20的细化 流程示意图;
图4为本发明人体活动状态判断方法人体活动过程示意图;
图5为本发明人体活动状态判断方法第二实施例的流程示意图;
图6为本发明人体活动状态判断方法第三实施例的流程示意图;
图7为本发明人体活动状态判断方法实现过程的流程图;
图8为人体活动量与人体平均活动速度的一种相关关系实验数据图。
本发明目的的实现、功能特点及优点将结合实施例,参照附图做进一步说明。
应当理解,此处所描述的具体实施例仅仅用以解释本发明,并不用于限定本发明。
由于需要对人体的活动状态进行准确识别,本发明实施例提供一种人体活动状态判断方法,包括以下步骤:获取目标区域的温度扫描数据,以判断所述目标区域是否存在人体;若存在,则根据所述温度扫描数据确定所述人体的活动信息;测量所述人体的实际体表温度值、所述目标区域的环境温度值;根据所述环境温度值计算出所述人体的理论体表温度值;根据所述实际体表温度值、所述理论体表温度值及所述人体的活动信息,判断所述人体的活动状态。
本发明实施例方案涉及的人体活动状态判断装置具体可以是具有微控制单元(MCU)或者中央处理器(CPU)的装置/设备;可理解地,该装置设置具备对空间区域进行温度场扫描功能的传感组件/模块,例如红外传感组件;或者该装置控制具备对空间区域进行温度场扫描功能的传感组件/模块,以获得温度扫描数据。
如图1所示,图1是本发明实施例方案涉及的人体活动状态判断装置的运行环境结构示意图,具体可以包括:处理器1001,例如CPU,网络接口1004,用户接口1003,存储器1005,通信总线1002。其中,通信总线1002用于实现这些组件之间的连接通信。用户接口1003可以包括显示屏(Display)、输入单元比如键盘(Keyboard),可选用户接口1003还可以包括标准的有线接口、无线接口。网络接口1004可 选的可以包括标准的有线接口、无线接口(如WI-FI接口)。存储器1005可以是高速RAM存储器,也可以是稳定的存储器(non-volatile memory),例如磁盘存储器。存储器1005可选的还可以是独立于前述处理器1001的存储装置。
可选地,人体活动状态判断装置还可以包括摄像头、RF(Radio Frequency,射频)电路,传感器、音频电路、WiFi模块等等。其中,传感器比如光传感器、运动传感器以及其他传感器。当然,智能电视还可配置陀螺仪、气压计、湿度计、温度计、红外传感器等其他传感器,在此不再赘述。
本领域技术人员可以理解,图1中示出的运行环境结构并不构成对人体活动状态判断装置的限定,可以包括比图示更多或更少的部件,或者组合某些部件,或者不同的部件布置。
如图1所示,作为一种存储介质的存储器1005中可以包括操作***、网络通信模块、用户接口模块以及人体活动状态判断程序。
在图1所示的运行环境结构中,网络接口1004主要用于连接服务器,与服务器进行数据通信;用户接口1003主要用于连接客户端(用户端),与客户端进行数据通信;而处理器1001可以用于调用存储器1005中存储的人体活动状态判断程序,并执行以下操作:
获取目标区域的温度扫描数据,以判断所述目标区域是否存在人体;
若存在,则根据所述温度扫描数据确定所述人体的活动信息;
测量所述人体的实际体表温度值、所述目标区域的环境温度值;
根据所述环境温度值计算出所述人体的理论体表温度值;
根据所述实际体表温度值、所述理论体表温度值及所述人体的活动信息,判断所述人体的活动状态。
进一步地,处理器1001可以调用存储器1005中存储的人体活动状态判断程序,还执行以下操作:
根据所述温度扫描数据,确定所述目标区域的平均辐射温度值;
根据所述温度扫描数据及所述平均辐射温度值,判断所述目标区域的温度分布情况是否符合预设人体存在判断规则;
若符合,则判定所述目标区域存在人体。
进一步地,处理器1001可以调用存储器1005中存储的人体活动状态判断程序,还执行以下操作:
根据所述温度扫描数据,确定在预设计算周期前后所述人体所在的第一空间位置、第二空间位置;
根据所述第一、第二空间位置,计算所述人体的活动距离;
根据所述活动距离及所述预设计算周期,确定人体平均活动速度。
确认所述平均活动速度是否匹配预设速度区间;
若是,则监测所述平均活动速度是否维持在所述预设速度区间;
若所述平均活动速度未维持在所述预设速度区间,则执行步骤:根据所述温度扫描数据,确定在预设计算周期前后所述人体所在的第一空间位置、第二空间位置;
若所述平均活动速度维持在所述预设速度区间,则开始计时,直至到达预设持续时间,执行步骤:测量所述人体的实际体表温度值、所述目标区域的环境温度值。
进一步地,处理器1001可以调用存储器1005中存储的人体活动状态判断程序,还执行以下操作:
确认所述实际体表温度值、所述理论体表温度值、所述人体的活动信息是否匹配与预设人体活动状态对应的参数值;
若匹配,根据匹配结果确定所述人体的活动状态。
进一步地,处理器1001可以调用存储器1005中存储的人体活动状态判断程序,还执行以下操作:
若所述目标区域不存在人体,则在预设扫描周期后,重新执行步骤:获取目标区域的温度扫描数据。
进一步地,处理器1001可以调用存储器1005中存储的人体活动状态判断程序,还执行以下操作:
通过红外传感器扫描所述目标区域,以获取所述目标区域的温度扫描数据;其中,所述温度扫描数据为单位面积像素温度数据构成的温度数据集。
此外,本发明实施例还提供一种空调器,所述空调器包括如上所述的人体活动状态判断装置。即该空调器设置有如上所述的人体活动状态判断装置,用于实现人体活动状态的判断。可理解地,通过人体活动状态的判断结果,对空调器的制冷或其它工作模式实现更加精准高效的控制。
参照图4,本发明第一实施例提供一种人体活动状态判断方法,包括以下步骤:
步骤S10,获取目标区域的温度扫描数据,以判断所述目标区域是否存在人体;
在具体实施时,目标区域为人体活动状态判断装置能够进行温度扫描的范围区域,具体可以是该判断装置的前方区域。具体地,可以通过设置于该装置上的红外传感器周期性地扫描目标区域,从而获取目标区域的温度扫描数据。其中,扫描周期可以设置为1秒。优选地,通过红外传感器扫描所述目标区域,以获取所述目标区域的温度扫描数据;其中,所述温度扫描数据为单位面积像素温度数据构成的温度数据集。换言之,将红外传感器所扫描的目标区域对应的红外温度图像进行面积划分,划分的单位面积视为一个面积像素单元。
根据所获取的温度扫描数据,进一步判断是否存在人体。具体包括:根据所述温度扫描数据,确定所述目标区域的平均辐射温度值;根据所述温度扫描数据及所述平均辐射温度值,判断所述目标区域的温度分布情况是否符合预设人体存在判断规则;若符合,则判定所述目标区域存在人体。即根据人体体表温度与环境温度存在明显差异的原理,基于目标区域的温度分布情况,确定目标区域内与环境背景温度存在明显差异的局部区域为人体所在区域。通过确定是否存在符合上述条件的局部区域,判断目标区域内是否存在人体。若不存在,则在预设扫描周期后,重新执行步骤:获取目标区域的温度扫描数据。
步骤S20,若存在,则根据所述温度扫描数据确定所述人体的活动信息;
在具体实施时,如图3所示,步骤S20具体包括:
步骤S21,根据所述温度扫描数据,确定在预设计算周期前后所 述人体所在的第一空间位置、第二空间位置;
通过红外传感器扫描目标区域,获取目标区域的温度扫描数据。更具体地,将每次的扫描区域划分为32*24面积像素单元,X方向为32单元,Y方向为24单元。在判断存在人体后,红外传感器检测人体的活动轨迹。例如,在某一时刻进行温度扫描,确定人体所在的第一空间位置;经过预设计算周期t后,再次进行温度扫描,确定人体所在的第二空间位置。其中,第一、第二空间位置优选为人体的空间位置坐标。其中,预设计算周期t可以设置为某一时间长度,例如30秒。可理解地,经过一段较长时间后,人体的活动距离为多个预设时间t对应活动距离之和。
步骤S22,根据所述第一、第二空间位置,计算所述人体的活动距离;
需要注意的是,根据第一、第二空间位置计算人体的活动距离,为预设计算周期t之内人体活动轨迹的总长度,而非预设时间t之内人体活动的位移长度。
步骤S23,根据所述活动距离及所述预设计算周期,确定人体平均活动速度;
其中,平均活动速度的计算公式Q1为:平均活动速度v=活动距离s/预设计算周期t。需要注意的是,在Q1的基础上,经过多个预设计算周期t时,人体的平均活动速度v
平均计算公式Q2为:
举例进一步说明:如图4所示,图4为人体活动过程示意图。其中,X、Y方向分别表示水平面时互相垂直的方向;人体在预设计算周期t内从A点(x1,y1)活动至B点(x2,y2),对应的人体活动轨迹为S1,则人体的活动距离为S1,显然不同于人体的位移轨迹S2。 相应地,人体在该预设计算周期t的平均活动速度v=S1/t。例如,在预设计算周期30秒时间内检测到人体的活动轨迹总长度为9米,则对应的人体平均活动速度为0.3米/秒。
步骤S23之后,还包括:
步骤S24,确认所述平均活动速度是否匹配预设速度区间;
即经过某一预设计算周期t的温度扫描后,确认在该预设计算周期t的人体平均活动速度是否匹配预设速度区间。
步骤S25,若是,则监测所述平均活动速度是否维持在所述预设速度区间;
持续对所述人体的平均活动速度进行周期性监测,可理解地,即重复执行步骤S21-S24,用以确认所述人体的平均活动速度是否维持在原来的速度区间。
步骤S26,若所述平均活动速度未维持在所述预设速度区间,则执行步骤S21:根据所述温度扫描数据,确定在预设计算周期前后所述人体所在的第一空间位置、第二空间位置;
步骤S27,若所述平均活动速度维持在所述预设速度区间,则开始计时,直至到达预设持续时间,执行步骤S30:测量所述人体的实际体表温度值、所述目标区域的环境温度值。
例如,某一预设速度区间为0.2-0.5米/秒,当计算出某一预设计算周期t的人体平均活动速度为0.4米/秒时,开始监测人体平均活动速度,以确认人体平均活动速度是否继续维持在0.2-0.5米/秒的速度区间,以及确认人体平均活动速度维持在该预设速度区间的持续时间是否达到预设持续时间(例如90秒)。需要说明的是,所述预设持续时间一般较长,例如90秒、120秒,以确认人体是否稳定地保持在某一活动状态,从而提高本实施例人体活动状态判断方法的准确性。
若人体平均活动速度不同时满足以上2个条件,则重新执行步骤S25;若人体平均活动速度同时满足以上2个条件,则执行步骤S30。
步骤S30,测量所述人体的实际体表温度值、所述目标区域的环境温度值;
步骤S40,根据所述环境温度值计算出所述人体的理论体表温度 值;
判断目标区域内存在人体后,进一步通过温度扫描数据确定人体的实际体表温度值T
实际、以及所述目标区域的环境温度值Ta。需要说明的是,所述目标区域的环境温度值Ta的确定方法可以是:将人***置对应的实际体表温度值T
实际与非人***置对应的温度值平均化,或者将非人***置对应的温度值平均化。具体地,将已判断为人体的位置对应面积像素单元进行标记,用以区域人***置和非人***置。
在确定环境温度值后,进一步计算人体的理论体表温度值;该理论体表温度值为处于静止状态下的人体体表温度理论值。本发明实施例提供一种较优计算公式:
T
理论=a*T
a
2+b*T
a-c
其中,T
理论为人体理论体表温度值(单位为℃),Ta为环境温度值,且16℃≤Ta≤35℃,a、b、c为相关温度常数。
步骤S50,根据所述实际体表温度值、所述理论体表温度值及所述人体的活动信息,判断所述人体的活动状态。
当人体处于活动状态时,由于空气与人体体表皮肤相对运动,使得人体体表散热加快,此时人体的实际体表温度值会低于处于静止状态下的人体体表温度值,即T
实际<T
理论。同时,人体的平均活动速度越快,对应的人体活动越剧烈、活动强度越大。即人体实际体表温度值T
实际与理论体表温度值T
理论的比较结果及人体的活动信息综合反映出人体的活动量(或者活动代谢率);根据人体的活动量(或者活动代谢率),进一步确定人体对应的活动状态。
在本实施例中,通过获取目标区域的温度扫描数据,判断目标区域是否存在人体。当存在人体时,确定人体的实际体表温度值、所述目标区域的环境温度值,并通过环境温度值计算人体处于静止状态下的理论体表温度值。最终根据人体实际体表温度值与理论体表温度值的比较结果及人体的活动信息,判断人体对应的活动状态。本实施例避免了对难以计算的人体的活动量(或者活动代谢率)进行直接求取,同时巧妙地通过其他易于测量或者计算的参数值反映人体的活动量 (或者活动代谢率),从而准确判断出人体的活动状态。本发明实施例提供的人体活动状态判断方法具有判断准确、可靠性高、通用性强的优点。
进一步地,参照图5,图5为人体活动状态判断的第二实施例的流程示意图。基于上述方法的第一实施例,步骤S10具体包括:
步骤S11,根据所述温度扫描数据,确定所述目标区域的平均辐射温度值;
步骤S12,根据所述温度扫描数据及所述平均辐射温度值,判断所述目标区域的温度分布情况是否符合预设人体存在判断规则;
步骤S13,若符合,则判定所述目标区域存在人体。
在一具体实施中,所述温度扫描数据为单位面积像素单元温度数据构成的温度数据集,换言之,将红外传感器所扫描的目标区域对应的红外温度图像进行面积划分,划分的单位面积视为一个面积像素单元。此时,计算所有面积像素单元对应温度值的算数平均值,即平均辐射温度值Tr。
进一步地,预设人体存在判断规则包括:确认目标区域是否存在一连续区域,该连续区域内至少有超过预设数量(例如10个)的相邻面积像素单元的温度值大于(Tr+1)℃。若存在符合上述条件的连续区域,则判定所述目标区域存在人体。需要说明的是,其他根据温度扫描数据判定目标区域是否存在人体的技术方案亦在本发明实施例的保护范围内。
这样,根据目标区域的温度扫描数据及平均辐射温度值,判断目标区域的温度分布情况是否符合预设人体存在判断规则,从而判断目标区域是否存在人体,方法简便可靠,容易实现。
进一步地,参照图6,图6为人体活动状态判断的第三实施例的流程示意图。基于上述方法的第一实施例,步骤S50具体包括:
步骤S51,确认所述实际体表温度值、所述理论体表温度值、所述人体的活动信息是否匹配与预设人体活动状态对应的参数值;
其中,与预设人体活动状态对应的参数值包括:实际体表温度值与理论体表温度值的比较结果、
步骤S52,若匹配,根据匹配结果确定所述人体的活动状态。
具体地,如图7所示,通过红外传感器获取目标区域的温度扫描数据,并判断是否存在人体。当判定目标区域存在人体时,持续对所述人体执行活动轨迹的检测,以此确定所述人体的活动信息,包括所述人体某一段活动轨迹对应的活动时间t
持续,以及所述人体在该活动时间t
持续内的平均活动速度v
平均。以及测量达到该活动时间t
持续时人体的实际体表温度值T
实
际、环境温度值Ta,并根据Ta计算出人体在静止状态下的理论体表温度值T理论。
进一步地,确认T
实际、T
理论、v
平均及t
持续是否匹配人体活动状态与人体活动量、人体体表温度值(T
实际、T
理论)、人体活动信息(v
平均、t
持续)的关系表,一优选关系表如下表所示。即根据已确定的T
实际、T
理论、v
平均及t
持续,通过查表的方式,确定人体活动状态。
大量的实验数据表明,一般情况下人体活动量等同于人体代谢率,且人体活动量与人体平均活动速度存在正相关关系,更具体是一种线性关系,如图8所示。这样,通过红外传感器获取目标区域的温度扫描数据,确定较容易得到的人体体表温度值(T
实际、T
理论)、人体活动信息(v
平均、t
持续),从而间接确定人体的活动量(或者活动代谢率)。而人体活动状态与人体活动量具有确切的正相关关系,因此可以通过人体体表温度值(T
实际、T
理论)、人体活动信息(v
平均、t
持续),准确判断出人体的活动状态。
此外,本发明实施例还提出一种可读存储介质,所述可读存储介质上存储有人体活动状态判断程序,所述人体活动状态判断程序被处理器执行时实现如下操作:
获取目标区域的温度扫描数据,以判断所述目标区域是否存在人体;
若存在,则根据所述温度扫描数据确定所述人体的活动信息;
测量所述人体的实际体表温度值、所述目标区域的环境温度值;
根据所述环境温度值计算出所述人体的理论体表温度值;
根据所述实际体表温度值、所述理论体表温度值及所述人体的活动信息,判断所述人体的活动状态。
进一步地,所述人体活动状态判断程序被处理器执行时还实现如下操作:
根据所述温度扫描数据,确定所述目标区域的平均辐射温度值;
根据所述温度扫描数据及所述平均辐射温度值,判断所述目标区域的温度分布情况是否符合预设人体存在判断规则;
若符合,则判定所述目标区域存在人体。
进一步地,所述人体活动状态判断程序被处理器执行时还实现如下操作:
所述根据所述温度扫描数据确定所述人体的活动信息的步骤包括:
根据所述温度扫描数据,确定在预设计算周期前后所述人体所在的第一空间位置、第二空间位置;
根据所述第一、第二空间位置,计算所述人体的活动距离;
根据所述活动距离及所述预设计算周期,确定人体平均活动速度。
进一步地,所述人体活动状态判断程序被处理器执行时还实现如下操作:
确认所述平均活动速度是否匹配预设速度区间;
若是,则监测所述平均活动速度是否维持在所述预设速度区间;
若所述平均活动速度未维持在所述预设速度区间,则执行步骤:根据所述温度扫描数据,确定在预设计算周期前后所述人体所在的第一空间位置、第二空间位置;
若所述平均活动速度维持在所述预设速度区间,则开始计时,直至到达预设持续时间,执行步骤:测量所述人体的实际体表温度值、所述目标区域的环境温度值。
进一步地,所述人体活动状态判断程序被处理器执行时还实现如下操作:
确认所述实际体表温度值、所述理论体表温度值、所述人体的活动信息是否匹配与预设人体活动状态对应的参数值;
若匹配,根据匹配结果确定所述人体的活动状态。
优选地,所述获取目标区域的温度扫描数据,以判断所述目标区域是否存在人体的步骤之后,还包括:
若不存在,则在预设扫描周期后,重新执行步骤:获取目标区域的温度扫描数据。
进一步地,所述人体活动状态判断程序被处理器执行时还实现如下操作:
通过红外传感器扫描所述目标区域,以获取所述目标区域的温度扫描数据;其中,所述温度扫描数据为单位面积像素温度数据构成的温度数据集。
需要说明的是,在本文中,术语“包括”、“包含”或者其任何其他变体意在涵盖非排他性的包含,从而使得包括一系列要素的过程、方法、物品或者***不仅包括那些要素,而且还包括没有明确列出的其他要素,或者是还包括为这种过程、方法、物品或者***所固有的要素。在没有更多限制的情况下,由语句“包括一个……”限定的要素,并不排除在包括该要素的过程、方法、物品或者***中还存在另外的相同要素。
上述本发明实施例序号仅仅为了描述,不代表实施例的优劣。
通过以上的实施方式的描述,本领域的技术人员可以清楚地了解到上述实施例方法可借助软件加必需的通用硬件平台的方式来实现,当然也可以通过硬件,但很多情况下前者是更佳的实施方式。基于这样的理解,本发明的技术方案本质上或者说对现有技术做出贡献的部分可以以软件产品的形式体现出来,该计算机软件产品存储在如上所述的一个存储介质(如ROM/RAM、磁碟、光盘)中,包括若干指令用以使得一台终端设备执行本发明各个实施例所述的方法。
以上仅为本发明的优选实施例,并非因此限制本发明的专利范围,凡是利用本发明说明书及附图内容所作的等效结构或等效流程变换,或直接或间接运用在其他相关的技术领域,均同理包括在本发明的专利保护范围内。
Claims (20)
- 一种人体活动状态判断方法,其特征在于,所述人体活动状态判断方法包括以下步骤:获取目标区域的温度扫描数据,以判断所述目标区域是否存在人体;若存在,则根据所述温度扫描数据确定所述人体的活动信息;测量所述人体的实际体表温度值、所述目标区域的环境温度值;根据所述环境温度值计算出所述人体的理论体表温度值;根据所述实际体表温度值、所述理论体表温度值及所述人体的活动信息,判断所述人体的活动状态。
- 如权利要求1所述的人体活动状态判断方法,其特征在于,所述获取目标区域的温度扫描数据,以判断所述目标区域是否存在人体的步骤包括:根据所述温度扫描数据,确定所述目标区域的平均辐射温度值;根据所述温度扫描数据及所述平均辐射温度值,判断所述目标区域的温度分布情况是否符合预设人体存在判断规则;若符合,则判定所述目标区域存在人体。
- 如权利要求1所述的人体活动状态判断方法,其特征在于,所述根据所述温度扫描数据确定所述人体的活动信息的步骤包括:根据所述温度扫描数据,确定在预设计算周期前后所述人体所在的第一空间位置、第二空间位置;根据所述第一、第二空间位置,计算所述人体的活动距离;根据所述活动距离及所述预设计算周期,确定人体平均活动速度。
- 如权利要求3所述的人体活动状态判断方法,其特征在于,所述根据所述活动距离及所述预设计算周期,确定人体平均活动速度的步骤之后,还包括:确认所述平均活动速度是否匹配预设速度区间;若是,则监测所述平均活动速度是否维持在所述预设速度区间;若所述平均活动速度未维持在所述预设速度区间,则执行步骤:根据所述温度扫描数据,确定在预设计算周期前后所述人体所在的第一空间位置、第二空间位置;若所述平均活动速度维持在所述预设速度区间,则开始计时,直至到达预设持续时间,执行步骤:测量所述人体的实际体表温度值、所述目标区域的环境温度值。
- 如权利要求1所述的人体活动状态判断方法,其特征在于,所述根据所述实际体表温度值、所述理论体表温度值及所述人体的活动信息,判断所述人体的活动状态的步骤包括:确认所述实际体表温度值、所述理论体表温度值、所述人体的活动信息是否匹配与预设人体活动状态对应的参数值;若匹配,根据匹配结果确定所述人体的活动状态。
- 如权利要求1所述的人体活动状态判断方法,其特征在于,所述获取目标区域的温度扫描数据,以判断所述目标区域是否存在人体的步骤之后,还包括:若不存在,则在预设扫描周期后,重新执行步骤:获取目标区域的温度扫描数据。
- 如权利要求1所述的人体活动状态判断方法,其特征在于,通过红外传感器扫描所述目标区域,以获取所述目标区域的温度扫描数据;其中,所述温度扫描数据为单位面积像素温度数据构成的温度数据集。
- 一种人体活动状态判断装置,其特征在于,所述人体活动状态判断装置包括:存储器、处理器及存储在所述存储器上并可在所述处理器上运行的人体活动状态判断程序,其中:所述人体活动状态判断程序被所述处理器执行时实现如权利要求1所述的人体活动状态判断方法的步骤。
- 一种人体活动状态判断装置,其特征在于,所述人体活动状态判断装置包括:存储器、处理器及存储在所述存储器上并可在所述处理器上运行的人体活动状态判断程序,其中:所述人体活动状态判断程序被所述处理器执行时实现如权利要 求2所述的人体活动状态判断方法的步骤。
- 一种人体活动状态判断装置,其特征在于,所述人体活动状态判断装置包括:存储器、处理器及存储在所述存储器上并可在所述处理器上运行的人体活动状态判断程序,其中:所述人体活动状态判断程序被所述处理器执行时实现如权利要求3所述的人体活动状态判断方法的步骤。
- 一种人体活动状态判断装置,其特征在于,所述人体活动状态判断装置包括:存储器、处理器及存储在所述存储器上并可在所述处理器上运行的人体活动状态判断程序,其中:所述人体活动状态判断程序被所述处理器执行时实现如权利要求4所述的人体活动状态判断方法的步骤。
- 一种人体活动状态判断装置,其特征在于,所述人体活动状态判断装置包括:存储器、处理器及存储在所述存储器上并可在所述处理器上运行的人体活动状态判断程序,其中:所述人体活动状态判断程序被所述处理器执行时实现如权利要求5所述的人体活动状态判断方法的步骤。
- 一种人体活动状态判断装置,其特征在于,所述人体活动状态判断装置包括:存储器、处理器及存储在所述存储器上并可在所述处理器上运行的人体活动状态判断程序,其中:所述人体活动状态判断程序被所述处理器执行时实现如权利要求6所述的人体活动状态判断方法的步骤。
- 一种可读存储介质,其特征在于,所述可读存储介质上存储有人体活动状态判断程序,所述人体活动状态判断程序被处理器执行时实现如权利要求1所述的人体活动状态判断方法的步骤。
- 一种可读存储介质,其特征在于,所述可读存储介质上存储有人体活动状态判断程序,所述人体活动状态判断程序被处理器执行时实现如权利要求2所述的人体活动状态判断方法的步骤。
- 一种可读存储介质,其特征在于,所述可读存储介质上存储有人体活动状态判断程序,所述人体活动状态判断程序被处理器执行时实现如权利要求3所述的人体活动状态判断方法的步骤。
- 一种可读存储介质,其特征在于,所述可读存储介质上存储有人体活动状态判断程序,所述人体活动状态判断程序被处理器执行时实现如权利要求4所述的人体活动状态判断方法的步骤。
- 一种可读存储介质,其特征在于,所述可读存储介质上存储有人体活动状态判断程序,所述人体活动状态判断程序被处理器执行时实现如权利要求5所述的人体活动状态判断方法的步骤。
- 一种可读存储介质,其特征在于,所述可读存储介质上存储有人体活动状态判断程序,所述人体活动状态判断程序被处理器执行时实现如权利要求6所述的人体活动状态判断方法的步骤。
- 一种空调器,其特征在于,所述空调器包括如权利要求8所述的人体活动状态判断装置。
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US20140148706A1 (en) * | 2011-06-15 | 2014-05-29 | Fraunhofer Gesellschaft Zur Förderung Der Angew. Forschung E.V. | Method and device for detecting thermal comfort |
CN103574837A (zh) * | 2012-08-02 | 2014-02-12 | 青岛海尔空调电子有限公司 | 空调静音模式启动方法及空调 |
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CN104605827A (zh) * | 2015-01-15 | 2015-05-13 | 辛勤 | 一种人体剧烈运动状态的判断方法及装置 |
CN105222274A (zh) * | 2015-09-22 | 2016-01-06 | 天津大学 | 根据人体生理反应控制室内空调运行的方法 |
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CN113985949A (zh) * | 2021-12-23 | 2022-01-28 | 深圳市心流科技有限公司 | 智能假肢的温度控制方法、智能假肢、终端及存储介质 |
CN113985949B (zh) * | 2021-12-23 | 2022-05-17 | 深圳市心流科技有限公司 | 智能假肢的温度控制方法、智能假肢、终端及存储介质 |
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