CN113892928A - Body-building behavior monitoring system based on Beidou positioning and narrowband Internet of things - Google Patents
Body-building behavior monitoring system based on Beidou positioning and narrowband Internet of things Download PDFInfo
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Abstract
The invention discloses a fitness behavior monitoring system based on Beidou positioning and a narrow-band Internet of things, which comprises: wearable devices and background servers; the wearable device is internally embedded with a Beidou positioning module, a physiological data acquisition module and a narrow-band Internet of things module; the Beidou positioning module is in communication connection with the Beidou foundation enhancement system through the narrow-band Internet of things module; the Beidou foundation enhancement system is used for correcting the personnel position information acquired by the Beidou positioning module; the physiological data acquisition module is used for acquiring physiological parameters of corresponding personnel in real time; and the background server synchronously acquires the corrected position information and the corresponding physiological parameters of all the personnel in the monitoring place through the narrow-band Internet of things module and judges whether the physiological parameters are abnormal or not. The invention can improve the positioning precision of fitness personnel, realize the acquisition and monitoring of the physiological data of the user, and ensure that the position information is reported in time when abnormal conditions occur, so as to receive treatment at the fastest speed.
Description
Technical Field
The invention relates to the technical field of fitness monitoring, in particular to a fitness behavior monitoring system based on Beidou positioning and a narrow-band Internet of things.
Background
With the intensive implementation of the national fitness plan and the national fitness strategy, the facilities of the national fitness site are gradually increased. The existing fitness monitoring systems are generally used for monitoring a single individual, and target groups are more than old people, so that the attention to the overall environment is lacked. Meanwhile, data of a plurality of sensors need to be collected simultaneously, power consumption is too high for wearable equipment, and the endurance time of the equipment is short. No matter the big dipper location of single mode or GPS location or big dipper/GPS bimodulus location, the positioning accuracy to civilian scene all is the meter level generally, and because the influence of factors such as city high building, the deviation appears in the location easily, can not satisfy the demand of reporting accurate position.
The Beidou satellite navigation system is a global satellite navigation system independently developed by China, and can provide high-precision and high-reliability positioning service for various users all day long in the world. For the requirement of a scene with ultrahigh positioning accuracy, a plurality of fusion positioning technologies emerge.
The Narrow-Band Internet of Things (Narrow Band Internet of Things) has the characteristics of supporting mass connection, wide coverage, low power consumption, low cost and the like, and is a breakthrough technology for realizing the interconnection of everything. One sector of the NB-IOT can support 10 ten thousand connections, and under the same frequency band, the coverage area is increased by 100 times compared with the existing network gain of 20 dB.
Therefore, how to provide a fitness behavior monitoring system based on Beidou positioning and narrowband internet of things technology and having high-precision positioning is a problem that needs to be solved urgently by technical personnel in the field.
Disclosure of Invention
In view of the above, the invention provides a fitness behavior monitoring system based on Beidou positioning and narrowband internet of things, which can improve positioning accuracy of fitness personnel, realize acquisition and monitoring of user physiological data, and ensure that position information is reported in time when an abnormal condition occurs, so that the fitness behavior monitoring system can receive treatment as fast as possible.
In order to achieve the purpose, the invention adopts the following technical scheme:
a body-building action monitoring system based on big dipper location and narrowband thing networking includes: wearable devices and background servers;
the wearable device is internally embedded with a Beidou positioning module, a physiological data acquisition module and a narrow-band Internet of things module; the Beidou positioning module is in communication connection with a Beidou foundation enhancement system through the narrow-band Internet of things module; the background server is in communication connection with the Beidou positioning module and the physiological data acquisition module through the narrow-band Internet of things module;
the Beidou foundation enhancement system is used for correcting the personnel position information acquired by the Beidou positioning module;
the physiological data acquisition module is used for acquiring physiological parameters of corresponding personnel in real time;
the background server is used for synchronously acquiring the corrected position information and the corresponding physiological parameters of all the personnel in the monitoring place and judging whether the physiological parameters are abnormal or not.
Preferably, the fitness behavior monitoring system based on Beidou positioning and narrowband Internet of things further comprises a monitoring camera module and a voice broadcast module; the monitoring camera module and the voice broadcasting module are in communication connection with the background server through the narrow-band Internet of things module respectively;
the monitoring camera module is used for acquiring fitness images of all personnel in a monitoring place in real time, judging whether illegal fitness behaviors or abnormal conditions exist or not, and sending the illegal fitness behaviors or the abnormal conditions to the background server;
the background server is used for controlling the voice broadcasting module to send out a voice alarm to the illegal fitness behavior; or further confirming the credibility of the abnormal condition according to a preset rule.
Preferably, in the above fitness behavior monitoring system based on Beidou positioning and narrowband internet of things, the preset rule is: if the information reported by the monitoring camera module is abnormal, the background server calls the physiological parameters collected by the physiological data collection module at the corresponding position, if the physiological parameters are in an abnormal range, the reported information of the monitoring camera module is confirmed to be credible, and the abnormal condition is judged to exist currently; and if the physiological parameters are in the normal range, controlling the monitoring camera module at the corresponding position to continuously acquire the next frame of fitness image of the corresponding area so as to judge whether the next frame of fitness image has an abnormal condition.
Preferably, in the fitness behavior monitoring system based on Beidou positioning and narrowband internet of things, the background server is further used for controlling the voice broadcast module to send voice help-seeking information when the physiological parameters are abnormal.
Preferably, in the fitness behavior monitoring system based on Beidou positioning and narrowband internet of things, the fitness behavior monitoring system further comprises a central control dispatching center and at least one medical aid service end; the central control dispatching center is in communication connection with the background server and the medical aid service end through the narrow-band Internet of things module;
the background server is used for sending help seeking information to the central control dispatching center when the physiological parameters are abnormal;
and the central control dispatching center is used for sending dispatching information to the most suitable medical aid service end according to the type and the level of the help seeking information.
Preferably, in the exercise behavior monitoring system based on the Beidou positioning and the narrowband internet of things, a plurality of monitoring camera modules are arranged and are respectively arranged at different positions of a monitoring place; each monitoring camera module comprises a camera and a computing chip respectively; the camera is used for acquiring fitness images within a certain range; the computing chip is pre-loaded with a deep learning algorithm and is used for analyzing whether the body-building image has illegal body-building behaviors by adopting a deep neural network.
According to the technical scheme, compared with the prior art, the fitness behavior monitoring system based on the Beidou positioning and the narrowband Internet of things is disclosed, real-time acquisition of physiological health data of a user is achieved, centimeter-level positioning accuracy is achieved by combining the Beidou satellite and the Beidou foundation enhancement system, and then the transmission of the physiological health data and Beidou high-accuracy positioning data is achieved through the narrowband Internet of things module; the monitoring camera module is used for carrying an AI algorithm to realize real-time monitoring and analysis of the fitness behaviors of the personnel in the place, so that the sensor data needing to be acquired by the end side of the wearable equipment is reduced, the power consumption of the wearable equipment is reduced, the endurance time of the wearable equipment is prolonged, and the cost of the wearable equipment is reduced. In addition, cameras are deployed in the whole public sports place, so that the monitoring range is expanded; meanwhile, the voice broadcasting module is added, so that the behaviors of personnel in a place can be standardized, and help seeking information can be broadcasted when an unexpected condition occurs; the background server can transmit information with the central dispatching control center, so that help can be called for in time, and medical treatment resources can be obtained.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
Fig. 1 is a structural block diagram of a fitness behavior monitoring system based on Beidou positioning and a narrowband internet of things, provided by the invention;
fig. 2 is a schematic structural diagram of a fitness behavior monitoring system based on Beidou positioning and a narrowband internet of things, provided by the invention;
fig. 3 is a block diagram of a monitoring camera module according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1-2, an embodiment of the invention discloses a fitness behavior monitoring system based on Beidou positioning and narrowband internet of things, which comprises: wearable device 1 and background server 2;
the wearable device 1 is internally embedded with a Beidou positioning module 11, a physiological data acquisition module 12 and a narrow-band Internet of things module 13; the Beidou positioning module 11 is in communication connection with a Beidou foundation enhancement system through a narrow-band Internet of things module 13; the background server 2 is in communication connection with the Beidou positioning module 11 and the physiological data acquisition module 12 through the narrow-band Internet of things module 13;
the Beidou foundation enhancement system is used for correcting the personnel position information acquired by the Beidou positioning module 11;
the physiological data acquisition module 12 is used for acquiring physiological parameters of corresponding personnel in real time;
the background server 2 is used for synchronously acquiring the corrected position information and the corresponding physiological parameters of all the personnel in the monitoring place and judging whether the physiological parameters are abnormal or not.
In the invention, a user enters a public sport place and can selectively wear a special wearable device for monitoring the motion state. The Beidou positioning module 11 is used for positioning the user in real time, and is combined with a Beidou base enhancement system to realize centimeter-level positioning accuracy, so that the movement track of the user can be analyzed and accurate rescue after abnormal conditions occur can be facilitated. The Beidou foundation enhancement system is an important ground infrastructure of a Beidou satellite navigation system which is mainly constructed by the national Beidou, is distributed at national reference stations to receive Beidou, GPS and GLONASS satellite signals in real time, transmits the signals to a national Beidou data processing center through a private network, is resolved by a thousand-search platform software of a deployed data center to broadcast differential data in real time, and a user can obtain position services with real-time sub-meter, centimeter and postprocessing millimeter-level precision as required. The Beidou positioning module receives the correction number sent by the Beidou foundation enhancement system through the narrowband Internet of things, and directly corrects the observation value received by the Beidou positioning module through the correction number, so that the centimeter-level positioning precision is achieved.
The common navigation positioning system mainly comprises ephemeris error, clock error, ionosphere error and the like, wherein the ionosphere error is the largest (for single-frequency users), and the ground enhancement system receives navigation satellite signals according to n ground stations with known coordinates erected on the ground, directly corrects the total error brought by the ephemeris clock error ionosphere to be used as a correction number, and sends the correction number to the Beidou positioning module for correcting the positioning information.
The ground enhancement system obtains pseudo-range correction numbers by adopting carrier phase difference, a user receiver subtracts the measured pseudo-range and the correction numbers to obtain the pseudo-range only containing clock error and receiver noise, and the position is solved by using a square equation group consisting of four satellites.
In a more advantageous embodiment, the system further comprises a monitoring camera module 3 and a voice broadcast module 4; the monitoring camera module 3 and the voice broadcast module 4 are in communication connection with the background server 2 through a narrow-band internet of things module 13 respectively;
the monitoring camera module 3 is used for acquiring fitness images of all personnel in a monitoring place in real time, judging whether illegal fitness behaviors or abnormal conditions exist or not, and sending the illegal fitness behaviors or the abnormal conditions to the background server 2;
the background server 2 is used for controlling the voice broadcast module 4 to send out a voice alarm for the illegal fitness behavior; or further confirming the credibility of the abnormal condition according to a preset rule.
The preset rule is as follows: if the information reported by the monitoring camera module 3 is in an abnormal condition, the background server 2 calls the physiological parameters collected by the physiological data collection module at the corresponding position, if the physiological parameters are in an abnormal range, the reported information of the monitoring camera module 3 is confirmed to be credible, and the abnormal condition is judged to exist currently; if the physiological parameter is in the normal range, the monitoring camera module 3 at the corresponding position is controlled to continue to acquire the next frame of fitness image of the corresponding area so as to judge whether the next frame of fitness image has an abnormal condition.
The background server 2 is further configured to control the voice broadcast module 4 to send voice help seeking information when the physiological parameter is abnormal.
Specifically, the background server 2 performs fusion data processing on the scene by combining the physiological parameters and the abnormal conditions reported by the monitoring camera module 3 to confirm the reported credibility. If the information reported by the monitoring camera module 3 is illegal fitness behaviors (intentional damage, climbing and the like), controlling the voice broadcasting module 4 to carry out broadcast reminding; if the information reported by the monitoring camera module 3 is in an abnormal condition, the heart rate and step number information of the corresponding user is called, if the heart rate of the user is in an abnormal range and the step number does not change greatly, the current state is approved to be in the abnormal condition, and a broadcast command is sent to the voice broadcast module 4; and if the heart rate of the user is in the normal interval, discarding the current frame data and continuously monitoring the next frame data.
In a more advantageous embodiment, the system further comprises a central control dispatching center 5 and at least one medical aid service terminal 6; the central control dispatching center 5 is in communication connection with the background server 2 and the medical aid service end 6 through the narrow-band Internet of things module 13;
the background server 2 is used for sending help-seeking information to the central control dispatching center 5 when the physiological parameters are abnormal;
the central control dispatching center 5 is used for sending dispatching information to the most suitable medical aid service end 6 according to the type and the level of the help seeking information.
In this embodiment, when the physiological parameters acquired by the physiological data acquisition module are abnormal or the information reported by the monitoring camera module 3 is determined to be abnormal, the background server 2 sends help-seeking information to the central control scheduling center 5, where the help-seeking information includes but is not limited to the sex, age, location, current physiological state, and the like of a person seeking help. The central control dispatching center 5 can select the nearest or symptomatic medical aid service end 6 according to the help seeking information, and dispatch the relevant medical resource to the destination for medical treatment.
In other embodiments, as shown in fig. 3, a plurality of monitoring camera modules 3 are provided, and are respectively provided at different positions of a monitoring place; each monitoring camera module 3 comprises a camera 31 and a computing chip 32; the camera 31 is used for acquiring fitness images within a certain range; the computing chip 32 is preloaded with a deep learning algorithm, which is used for analyzing whether the fitness image has an illegal fitness behavior by using a deep neural network.
The monitoring camera module 3 is used for monitoring the fitness behaviors of all the personnel in the place in real time, completing gender analysis, age classification and human body 3D posture identification of the personnel through a deep neural network, analyzing behaviors of the user and surrounding environment threat events, and reporting to the background server 2 if abnormal conditions exist.
The specific execution process of the fitness behavior monitoring system provided by the embodiment of the invention is as follows:
1. a public sports place is established, a plurality of monitoring camera modules 3 and voice broadcast modules 4 are deployed in the place, and both are accessed to a local area network formed by a narrow-band Internet of things module 13;
2. the body-building personnel enter a public sports place to perform body-building action;
3. for the personnel wearing the wearable equipment 1, the equipment collects physiological health data, Beidou positioning data and uploads the data to the background server 2;
4. the monitoring camera module 3 monitors the fitness behaviors of the personnel in the place in real time, identifies the illegal fitness behaviors and abnormal conditions according to the algorithm and reports the illegal fitness behaviors and abnormal conditions to the background server 2;
5. the background server 2 receives the information classification reported by the monitoring camera module 3, and if the information classification is an illegal fitness behavior, the background server sends an instruction to the voice broadcasting module 4 to carry out broadcast reminding; if the abnormal condition is reported, the current situation is comprehensively judged by combining the physiological health data of the personnel, and if the abnormal condition is the condition needing emergency rescue, the current situation is reported to the central dispatching control center 5 to request medical rescue resources; and simultaneously sends broadcast voice help-seeking information to the voice broadcast module 4.
6. The central control dispatching center 5 receives the help-seeking information reported by the background server 2, sends related dispatching information to the medical aid service terminal 6 according to the type and the grade of the help-seeking information, and dispatches medical aid resources to the destination for medical aid.
The embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. The device disclosed by the embodiment corresponds to the method disclosed by the embodiment, so that the description is simple, and the relevant points can be referred to the method part for description.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (6)
1. The utility model provides a body-building action monitoring system based on big dipper location and narrowband thing networking which characterized in that includes: wearable devices and background servers;
the wearable device is internally embedded with a Beidou positioning module, a physiological data acquisition module and a narrow-band Internet of things module; the Beidou positioning module is in communication connection with a Beidou foundation enhancement system through the narrow-band Internet of things module; the background server is in communication connection with the Beidou positioning module and the physiological data acquisition module through the narrow-band Internet of things module;
the Beidou foundation enhancement system is used for correcting the personnel position information acquired by the Beidou positioning module;
the physiological data acquisition module is used for acquiring physiological parameters of corresponding personnel in real time;
the background server is used for synchronously acquiring the corrected position information and the corresponding physiological parameters of all the personnel in the monitoring place and judging whether the physiological parameters are abnormal or not.
2. The fitness behavior monitoring system based on Beidou positioning and narrowband Internet of things according to claim 1, characterized by further comprising a monitoring camera module and a voice broadcast module; the monitoring camera module and the voice broadcasting module are in communication connection with the background server through the narrow-band Internet of things module respectively;
the monitoring camera module is used for acquiring fitness images of all personnel in a monitoring place in real time, judging whether illegal fitness behaviors or abnormal conditions exist or not, and sending the illegal fitness behaviors or the abnormal conditions to the background server;
the background server is used for controlling the voice broadcasting module to send out a voice alarm to the illegal fitness behavior; or further confirming the credibility of the abnormal condition according to a preset rule.
3. The fitness behavior monitoring system based on Beidou positioning and narrowband Internet of things according to claim 2, wherein the preset rules are as follows: if the information reported by the monitoring camera module is abnormal, the background server calls the physiological parameters collected by the physiological data collection module at the corresponding position, if the physiological parameters are in an abnormal range, the reported information of the monitoring camera module is confirmed to be credible, and the abnormal condition is judged to exist currently; and if the physiological parameters are in the normal range, controlling the monitoring camera module at the corresponding position to continuously acquire the next frame of fitness image of the corresponding area so as to judge whether the next frame of fitness image has an abnormal condition.
4. The fitness behavior monitoring system based on Beidou positioning and narrowband Internet of things according to claim 2, wherein the background server is further used for controlling the voice broadcast module to send voice help-seeking information when the physiological parameters are abnormal.
5. A fitness behavior monitoring system based on Beidou positioning and narrowband Internet of things according to any one of claims 1-4, further comprising a central control dispatching center and at least one medical aid service end; the central control dispatching center is in communication connection with the background server and the medical aid service end through the narrow-band Internet of things module;
the background server is used for sending help seeking information to the central control dispatching center when the physiological parameters are abnormal;
and the central control dispatching center is used for sending dispatching information to the most suitable medical aid service end according to the type and the level of the help seeking information.
6. The fitness behavior monitoring system based on Beidou positioning and narrowband Internet of things according to claim 2, wherein a plurality of monitoring camera modules are arranged and are respectively arranged at different positions of a monitoring place; each monitoring camera module comprises a camera and a computing chip respectively; the camera is used for acquiring fitness images within a certain range; the computing chip is pre-loaded with a deep learning algorithm and is used for analyzing whether the body-building image has illegal body-building behaviors by adopting a deep neural network.
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Citations (23)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103325080A (en) * | 2013-06-21 | 2013-09-25 | 电子科技大学 | Gerocamium intelligent nursing system and method based on Internet of Things technology |
| CN105654413A (en) * | 2016-03-23 | 2016-06-08 | 张春生 | Smart old-age community system based on cloud technology |
| CN105979220A (en) * | 2016-06-21 | 2016-09-28 | 南京工业大学 | Household old person monitoring intelligent mobile trolley, monitoring system and monitoring method thereof |
| CN106625714A (en) * | 2017-01-17 | 2017-05-10 | 五邑大学 | Monitoring robot for the old physical health condition detection |
| CN106880357A (en) * | 2017-01-05 | 2017-06-23 | 首都体育学院 | A kind of locomitivity assessment system |
| CN107174216A (en) * | 2017-07-25 | 2017-09-19 | 青岛科技大学 | Wearable custodial care facility based on NB IoT |
| CN107621648A (en) * | 2017-09-13 | 2018-01-23 | 西安航光卫星测控技术有限公司 | A kind of Big Dipper positioner and implementation method with arrowband honeycomb Internet of Things communication function |
| CN108013868A (en) * | 2017-10-24 | 2018-05-11 | 武汉米风通信技术有限公司 | A kind of community monitor system based on the enhancing of Big Dipper ground and Internet of Things fusion |
| CN108717678A (en) * | 2018-05-25 | 2018-10-30 | 青岛联合创智科技有限公司 | A kind of wisdom endowment system |
| CN108734104A (en) * | 2018-04-20 | 2018-11-02 | 杭州易舞科技有限公司 | Body-building action error correction method based on deep learning image recognition and system |
| CN109003420A (en) * | 2018-08-07 | 2018-12-14 | 河南云拓智能科技有限公司 | A kind of data monitoring method based on Zigbee gateway |
| CN110477925A (en) * | 2019-08-23 | 2019-11-22 | 广东省智能制造研究所 | A kind of fall detection for home for the aged old man and method for early warning and system |
| CN110478862A (en) * | 2019-05-07 | 2019-11-22 | 深圳市云康创新网络科技有限公司 | A kind of exercise guide system and its guidance method |
| CN110517450A (en) * | 2019-08-20 | 2019-11-29 | 江西师范大学 | Wearable device and fall detection method based on narrowband Internet of Things |
| CN111111111A (en) * | 2020-01-14 | 2020-05-08 | 广东技术师范大学 | Real-time fitness monitoring system and method |
| CN111259716A (en) * | 2019-10-17 | 2020-06-09 | 浙江工业大学 | Human body running posture identification and analysis method and device based on computer vision |
| CN210956179U (en) * | 2020-03-06 | 2020-07-07 | 东北大学 | Monitoring system for intelligent medical community service |
| CN112107315A (en) * | 2019-06-21 | 2020-12-22 | 王伟 | Alarm device and method based on GPS/Beidou satellite |
| CN112216065A (en) * | 2020-10-15 | 2021-01-12 | 吕行 | Intelligent nursing system for behavior of old people and identification method |
| CN112535857A (en) * | 2020-11-18 | 2021-03-23 | 温州大学 | Safety assessment system for outdoor sports |
| CN112734799A (en) * | 2020-12-14 | 2021-04-30 | 中国科学院长春光学精密机械与物理研究所 | Body-building posture guidance system |
| CN112990011A (en) * | 2021-03-15 | 2021-06-18 | 上海工程技术大学 | Body-building action recognition and evaluation method based on machine vision and deep learning |
| CN113327662A (en) * | 2021-04-15 | 2021-08-31 | 上海兽鸟智能科技有限公司 | Intelligent household fitness mirror based on Internet of things and control method thereof |
-
2021
- 2021-10-14 CN CN202111199512.1A patent/CN113892928A/en active Pending
Patent Citations (23)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103325080A (en) * | 2013-06-21 | 2013-09-25 | 电子科技大学 | Gerocamium intelligent nursing system and method based on Internet of Things technology |
| CN105654413A (en) * | 2016-03-23 | 2016-06-08 | 张春生 | Smart old-age community system based on cloud technology |
| CN105979220A (en) * | 2016-06-21 | 2016-09-28 | 南京工业大学 | Household old person monitoring intelligent mobile trolley, monitoring system and monitoring method thereof |
| CN106880357A (en) * | 2017-01-05 | 2017-06-23 | 首都体育学院 | A kind of locomitivity assessment system |
| CN106625714A (en) * | 2017-01-17 | 2017-05-10 | 五邑大学 | Monitoring robot for the old physical health condition detection |
| CN107174216A (en) * | 2017-07-25 | 2017-09-19 | 青岛科技大学 | Wearable custodial care facility based on NB IoT |
| CN107621648A (en) * | 2017-09-13 | 2018-01-23 | 西安航光卫星测控技术有限公司 | A kind of Big Dipper positioner and implementation method with arrowband honeycomb Internet of Things communication function |
| CN108013868A (en) * | 2017-10-24 | 2018-05-11 | 武汉米风通信技术有限公司 | A kind of community monitor system based on the enhancing of Big Dipper ground and Internet of Things fusion |
| CN108734104A (en) * | 2018-04-20 | 2018-11-02 | 杭州易舞科技有限公司 | Body-building action error correction method based on deep learning image recognition and system |
| CN108717678A (en) * | 2018-05-25 | 2018-10-30 | 青岛联合创智科技有限公司 | A kind of wisdom endowment system |
| CN109003420A (en) * | 2018-08-07 | 2018-12-14 | 河南云拓智能科技有限公司 | A kind of data monitoring method based on Zigbee gateway |
| CN110478862A (en) * | 2019-05-07 | 2019-11-22 | 深圳市云康创新网络科技有限公司 | A kind of exercise guide system and its guidance method |
| CN112107315A (en) * | 2019-06-21 | 2020-12-22 | 王伟 | Alarm device and method based on GPS/Beidou satellite |
| CN110517450A (en) * | 2019-08-20 | 2019-11-29 | 江西师范大学 | Wearable device and fall detection method based on narrowband Internet of Things |
| CN110477925A (en) * | 2019-08-23 | 2019-11-22 | 广东省智能制造研究所 | A kind of fall detection for home for the aged old man and method for early warning and system |
| CN111259716A (en) * | 2019-10-17 | 2020-06-09 | 浙江工业大学 | Human body running posture identification and analysis method and device based on computer vision |
| CN111111111A (en) * | 2020-01-14 | 2020-05-08 | 广东技术师范大学 | Real-time fitness monitoring system and method |
| CN210956179U (en) * | 2020-03-06 | 2020-07-07 | 东北大学 | Monitoring system for intelligent medical community service |
| CN112216065A (en) * | 2020-10-15 | 2021-01-12 | 吕行 | Intelligent nursing system for behavior of old people and identification method |
| CN112535857A (en) * | 2020-11-18 | 2021-03-23 | 温州大学 | Safety assessment system for outdoor sports |
| CN112734799A (en) * | 2020-12-14 | 2021-04-30 | 中国科学院长春光学精密机械与物理研究所 | Body-building posture guidance system |
| CN112990011A (en) * | 2021-03-15 | 2021-06-18 | 上海工程技术大学 | Body-building action recognition and evaluation method based on machine vision and deep learning |
| CN113327662A (en) * | 2021-04-15 | 2021-08-31 | 上海兽鸟智能科技有限公司 | Intelligent household fitness mirror based on Internet of things and control method thereof |
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