CN113051990A - Standard degree analysis platform and method for attitude of station - Google Patents
Standard degree analysis platform and method for attitude of station Download PDFInfo
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- CN113051990A CN113051990A CN202011217717.3A CN202011217717A CN113051990A CN 113051990 A CN113051990 A CN 113051990A CN 202011217717 A CN202011217717 A CN 202011217717A CN 113051990 A CN113051990 A CN 113051990A
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Abstract
The invention relates to a platform and a method for analyzing the standard degree of a standing posture, wherein the platform comprises: the numerical analysis mechanism is used for calculating the percentage of the number of the nonstandard standing posture images in the preset time length to the number of the real-time sharpened images, and sending out a standing posture losing signal when the percentage exceeds the limit; the numerical analysis mechanism is also used for sending a station standard signal when the percentage obtained by calculation is not over-limit; and the WIFI communication equipment is connected with the numerical analysis mechanism and is used for wirelessly sending the received station position attitude loss signal or station position standard signal to a handheld terminal of a nearby property supervisor through a local area network. The platform and the method for analyzing the standard degree of the attitude of the standing position have simple structure, convenience and practicability. The standard degree of the standing posture of the personnel on the post within any time length can be detected, and corresponding alarm operation is executed when the standard degree is lower than the lower limit, so that the automation level of building management is improved.
Description
Technical Field
The invention relates to the field of building management, in particular to a platform and a method for analyzing standard degree of attitude of a station.
Background
Building intellectualization is an important component of informatization, building intellectualization has been already started in modern western developed countries, but in China, building intellectualization is a new thing which appears only in recent years, scientific research strength is timely organized according to the development requirement of the situation, the new problem of building intellectualization is researched according to the actual national situation at present, the design and implementation tasks of a plurality of intelligent systems of large buildings are born, and the intelligent building intelligent system is well received by users.
The modern society has a greater demand for information and a faster information transmission speed, the twenty-first century is an informatization century, and the information technology, the biotechnology and the new material technology are mainly used for promoting the economic development of the world, wherein the information technology has the greatest influence on the economy, the politics and the social life of people, the information industry gradually becomes the main pillar industry of the society, and the progress of the human society depends on the development and the application of the information technology.
The development of electronic technology (especially computer technology) and network communication technology makes society highly informationized, and inside buildings, information technology, ancient building technology and modern high technology are combined, so that "building intellectualization" is generated. The building intellectualization adopts the computer technology to automatically control the equipment in the building, manage the information resources and provide information services for users, and is the crystallization of the building technology which is suitable for the informatization requirement of the modern society.
In building management, the image of a entrance guard affects the quality of a building, so that the standing posture management of the entrance guard needs to be enhanced, and the standing posture of the entrance guard is expected to be kept in a standard standing posture for a relatively large proportion of time. However, it is difficult to implement in practical management, on one hand, the gesture lacks a targeted detection mechanism, and on the other hand, relevant data of the entrance guard cannot be accurately acquired.
Disclosure of Invention
In order to solve the related technical problems in the prior art, the invention provides a standing posture standard degree analysis platform which can detect the standard degree of the standing posture of a person standing a post within any time length and execute corresponding alarm operation when the standard degree is lower than a lower limit, thereby improving the automation level of building management.
Therefore, the invention needs to have the following three key points:
(1) performing targeted visual analysis processing on the standing posture of the personnel standing at the guard of the building to identify the standard degree of the standing posture of the personnel standing at the guard within any time length;
(2) analyzing the postures of the on-site post-standing personnel with a plurality of standard human body standing posture patterns corresponding to different angles one by one to determine whether the postures of the on-site post-standing personnel are standard or not;
(3) and introducing a numerical analysis mechanism for calculating the percentage of the number of the nonstandard standing posture images in the preset time length to the number of the real-time sharpened images so as to send out a standing posture losing signal when the percentage exceeds the limit.
According to an aspect of the present invention, there is provided a standing posture standard degree analysis platform, including:
and the numerical analysis mechanism is respectively connected with the parameter setting equipment and the micro camera and is used for calculating the percentage of the number of the nonstandard standing posture images in the preset time length to the number of the real-time sharpened images so as to send out a standing posture losing signal when the percentage exceeds the limit.
More specifically, in the station attitude standard degree analysis platform of the invention:
and the numerical analysis mechanism is also used for sending a station standard signal when the calculated percentage is not over limit.
More specifically, in the standing posture standard degree analysis platform of the present invention, the platform further includes:
the WIFI communication equipment is connected with the numerical analysis mechanism and used for wirelessly sending the received station position attitude loss signal or station position standard signal to a handheld terminal of a nearby property supervisor through a local area network;
the miniature camera is arranged above the building access passage and used for carrying out camera shooting operation with preset time intervals on the entrance guard environment of the building so as to obtain continuous multiframe entrance guard environment images on a time axis, wherein different entrance guard environment images correspond to different camera shooting time points;
the filter processing mechanism is arranged in an electrical box of a building, is connected with the miniature camera and is used for carrying out sharpening processing based on the USM filter on each frame of received concierge environment image so as to obtain a corresponding real-time sharpened image;
the data sharpening device is connected with the filter processing mechanism and is used for carrying out spatial differentiation sharpening processing on the received real-time sharpened image so as to obtain and output a corresponding data sharpened image;
the artifact removing device is arranged in an electrical box of a building, is connected with the data sharpening device and is used for executing artifact removing processing on the received data sharpened image so as to obtain and output a corresponding artifact removed image;
the content storage equipment is realized by adopting a DRAM (dynamic random access memory) storage chip, is arranged in an electrical box of a building and is used for storing a standard human body standing posture pattern, and the standard human body standing posture pattern is an image which is obtained by capturing a person standing in a standard human body standing posture and only comprises the person;
the content storage device stores a plurality of standard human body standing posture patterns, and the plurality of standard human body standing posture patterns are a plurality of images obtained by capturing people standing in the standard human body standing posture at different angles;
the posture identification mechanism is respectively connected with the artifact removal mechanism and the content storage equipment and is used for carrying out similarity analysis on image content between a human body imaging area where the human body object with the largest area in the artifact removal image is located and each standard human body standing posture pattern so as to obtain the similarity percentage corresponding to the standard human body standing posture pattern;
the parameter setting equipment is respectively connected with the miniature camera and the posture identification mechanism and is used for taking the corresponding artifact removed image as a standard standing posture image when the similarity percentage corresponding to one standard human body standing posture pattern in the plurality of standard human body standing posture patterns is larger than a preset percentage threshold value;
the parameter setting equipment is also used for taking the corresponding artifact removed image as a non-standard standing posture image when the similarity percentage corresponding to a certain standard human body standing posture pattern does not exist in the plurality of standard human body standing posture patterns and is larger than a preset percentage threshold;
the content storage device is also connected with the parameter setting device and is used for storing the preset percentage threshold;
the content storage device adopts a partition storage mechanism to set a plurality of storage areas with different sizes, and the different storage areas are used for storing different types of data.
According to another aspect of the invention, a standing posture standard degree analysis method is further provided, and the method comprises the step of using the standing posture standard degree analysis platform to detect the standard degree of the standing posture of the standing staff within any time length.
The platform and the method for analyzing the standard degree of the attitude of the standing position have simple structure, convenience and practicability. The standard degree of the standing posture of the personnel on the post within any time length can be detected, and corresponding alarm operation is executed when the standard degree is lower than the lower limit, so that the automation level of building management is improved.
Drawings
Embodiments of the invention will now be described with reference to the accompanying drawings, in which:
fig. 1 is a schematic view of a building entrance/exit passage to which a standing position posture standard degree analysis platform is applied according to an embodiment of the present invention.
Detailed Description
Embodiments of the standing posture standard degree analyzing platform and the method of the present invention will be described in detail below with reference to the accompanying drawings.
The building management system is responsible for completing the computer monitoring and management of an air-conditioning refrigeration system, a power transformation and distribution system, a lighting system, a heat supply system, an elevator and the like in the building. The building automation system monitors, controls and records each subsystem by a computer, realizes the decentralized energy-saving control and the centralized scientific management, provides a good working environment for users in the building, provides a convenient management means for managers of the building, reduces the energy consumption and the management cost for the managers of the building, and provides a material basis for the modernization of property management.
For example, in an air conditioner monitoring system, the monitoring requirements are as follows: temperature control, humidity control, new trend, return air, the control of airing exhaust, the frostproofing control of refrigerator, the state monitoring of filter, the state and the malfunction alerting refrigerating station monitored control system of fan: including the automatic control to cooling water pump, cooling tower fan to and the energy-saving control of cooling water set unit number and the pressure differential control of refrigerated water system, still include the control of central management station to the refrigeration station, consequently need solve following problem: cooling tower fan running state monitoring, control and malfunction alerting, cooling water pump running state monitoring, control and malfunction alerting, cooling water set cooling water temperature monitoring and control of intaking, cooling water pump running state monitoring, control and malfunction alerting, cooling water set cooling water temperature of leaving, flow monitoring and control, water knockout drum, water collector differential pressure monitoring and control, cooling water set running state monitoring, control and malfunction alerting give drainage monitored control system: the water supply and drainage devices such as building domestic water, fire water, sewage, a freezing water tank and the like are monitored and started and stopped. The monitoring system comprises a pressure measuring point, a liquid level measuring point and a switching value control point, and is required to display parameters of each monitoring point, fault alarms of equipment running states and abnormal states, and control starting and stopping of related equipment.
In building management, the image of a entrance guard affects the quality of a building, so that the standing posture management of the entrance guard needs to be enhanced, and the standing posture of the entrance guard is expected to be kept in a standard standing posture for a relatively large proportion of time. However, it is difficult to implement in practical management, on one hand, the gesture lacks a targeted detection mechanism, and on the other hand, relevant data of the entrance guard cannot be accurately acquired.
In order to overcome the defects, the invention builds a platform and a method for analyzing the standard degree of the attitude of the standing position, and can effectively solve the corresponding technical problem.
Fig. 1 is a schematic view of a building entrance/exit passage to which a standing position posture standard degree analysis platform is applied according to an embodiment of the present invention.
The standing posture standard degree analysis platform according to the embodiment of the invention comprises:
and the numerical analysis mechanism is respectively connected with the parameter setting equipment and the micro camera and is used for calculating the percentage of the number of the nonstandard standing posture images in the preset time length to the number of the real-time sharpened images so as to send out a standing posture losing signal when the percentage exceeds the limit.
Next, a detailed structure of the standing posture standard degree analyzing platform of the present invention will be further described with reference to fig. 1.
More specifically, in the station attitude standard degree analysis platform of the invention:
and the numerical analysis mechanism is also used for sending a station standard signal when the calculated percentage is not over limit.
More specifically, in the standing posture standard degree analysis platform of the present invention, the platform further includes:
the WIFI communication equipment is connected with the numerical analysis mechanism and used for wirelessly sending the received station position attitude loss signal or station position standard signal to a handheld terminal of a nearby property supervisor through a local area network;
the miniature camera is arranged above the building access passage and used for carrying out camera shooting operation with preset time intervals on the entrance guard environment of the building so as to obtain continuous multiframe entrance guard environment images on a time axis, wherein different entrance guard environment images correspond to different camera shooting time points;
the filter processing mechanism is arranged in an electrical box of a building, is connected with the miniature camera and is used for carrying out sharpening processing based on the USM filter on each frame of received concierge environment image so as to obtain a corresponding real-time sharpened image;
the data sharpening device is connected with the filter processing mechanism and is used for carrying out spatial differentiation sharpening processing on the received real-time sharpened image so as to obtain and output a corresponding data sharpened image;
the artifact removing device is arranged in an electrical box of a building, is connected with the data sharpening device and is used for executing artifact removing processing on the received data sharpened image so as to obtain and output a corresponding artifact removed image;
the content storage equipment is realized by adopting a DRAM (dynamic random access memory) storage chip, is arranged in an electrical box of a building and is used for storing a standard human body standing posture pattern, and the standard human body standing posture pattern is an image which is obtained by capturing a person standing in a standard human body standing posture and only comprises the person;
the content storage device stores a plurality of standard human body standing posture patterns, and the plurality of standard human body standing posture patterns are a plurality of images obtained by capturing people standing in the standard human body standing posture at different angles;
the posture identification mechanism is respectively connected with the artifact removal mechanism and the content storage equipment and is used for carrying out similarity analysis on image content between a human body imaging area where the human body object with the largest area in the artifact removal image is located and each standard human body standing posture pattern so as to obtain the similarity percentage corresponding to the standard human body standing posture pattern;
the parameter setting equipment is respectively connected with the miniature camera and the posture identification mechanism and is used for taking the corresponding artifact removed image as a standard standing posture image when the similarity percentage corresponding to one standard human body standing posture pattern in the plurality of standard human body standing posture patterns is larger than a preset percentage threshold value;
the parameter setting equipment is also used for taking the corresponding artifact removed image as a non-standard standing posture image when the similarity percentage corresponding to a certain standard human body standing posture pattern does not exist in the plurality of standard human body standing posture patterns and is larger than a preset percentage threshold;
the content storage device is also connected with the parameter setting device and is used for storing the preset percentage threshold;
the content storage device adopts a partition storage mechanism to set a plurality of storage areas with different sizes, and the different storage areas are used for storing different types of data.
In the standard degree analysis platform for the attitude:
in the content storage device, a storage area for storing the preset percentage threshold is different from an image area for storing the plurality of standard human posture patterns.
The station attitude standard degree analysis platform further comprises:
and the parallel line socket is respectively connected with the filter processing mechanism, the attitude identification mechanism and the signal output end of the parameter setting equipment.
In the standard degree analysis platform for the attitude:
the filter processing mechanism is internally provided with a serial communication interface and is used for receiving a control signal sent by a user through the serial communication interface.
The station attitude standard degree analysis platform further comprises:
the buzzer is connected with the gesture recognition mechanism and used for executing the alarm action of preset playing frequency when the gesture recognition mechanism is in an abnormal state;
the attitude identification mechanism and the filter processing mechanism share the same data cache device, and the data cache device divides the data cache address into two sections for respectively storing cache data of the filter processing mechanism and the attitude identification mechanism;
and the data cache equipment is respectively connected with the filter processing mechanism and the posture identification mechanism through parallel data buses.
In the standard degree analysis platform for the attitude:
the parameter setting equipment is also internally provided with an RAM storage unit which is used for storing input signals and/or output signals of the parameter setting equipment.
Meanwhile, in order to overcome the defects, the invention also builds a standing posture standard degree analysis method, which comprises the step of using the standing posture standard degree analysis platform to detect the standing posture standard degree of the standing staff in any time length.
In addition, in the WIFI communication device of the station attitude standard degree analysis platform of the present application, WIFI is a technology that allows an electronic device to connect to a Wireless Local Area Network (WLAN), and a 2.4G UHF or 5G SHF ISM radio frequency band is generally used. Connecting to a wireless local area network is typically password protected; but may be open, allowing any device within range of the WLAN to connect. WIFI is a brand of wireless network communication technology, held by the WIFI alliance. The object is to improve the interoperability between wireless network products based on the IEEE 802.11 standard. Local area networks using the IEEE 802.11 family of protocols are known as wireless fidelity. Even WIFI is equated to the wireless internet (WIFI is an important component of WLAN). The wireless network internet access can be simply understood as wireless internet access, almost all smart phones, tablet computers and notebook computers support WIFI internet access, and the wireless network transmission technology is the most widely used wireless network transmission technology at present. In effect, the wired network signal is converted to a wireless signal, as described at the outset, using a wireless router for reception by the relevant computer, cell phone, tablet, etc. supporting its technology. If the mobile phone has the WIFI function, the mobile phone can surf the internet without a mobile communication network when a WIFI wireless signal exists, and traffic cost is saved. Wireless networking of wireless networks is commonly used in large cities, and although the wireless communication quality transmitted by the WIFI technology is not good, the data security performance is poorer than that of Bluetooth, the transmission quality needs to be improved, the transmission speed is very high, 54Mbps can be achieved, and the requirements of personal and social informatization are met. The main advantage of WIFI is that it does not need wiring, and it can not be limited by wiring conditions, so it is very suitable for the needs of mobile office users, and because the transmission signal power is lower than 100mw, and lower than the transmission power of mobile phone, it is relatively the safest and healthier to access the internet via WIFI.
Those of ordinary skill in the art will understand that: all or part of the steps for implementing the method embodiments may be implemented by hardware related to program instructions, and the program may be stored in a computer readable storage medium, and when executed, the program performs the steps including the method embodiments; and the aforementioned storage medium includes: Read-Only Memory (ROM), Random Access Memory (RAM), magnetic or optical disk, and other various media capable of storing program codes.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.
Claims (9)
1. A standard degree of stance attitude analysis platform, comprising:
and the numerical analysis mechanism is respectively connected with the parameter setting equipment and the micro camera and is used for calculating the percentage of the number of the nonstandard standing posture images in the preset time length to the number of the real-time sharpened images so as to send out a standing posture losing signal when the percentage exceeds the limit.
2. The standing posture standard degree analysis platform of claim 1, wherein:
and the numerical analysis mechanism is also used for sending a station standard signal when the calculated percentage is not over limit.
3. The standing position attitude standard degree analysis platform of claim 2, wherein the platform further comprises:
the WIFI communication equipment is connected with the numerical analysis mechanism and used for wirelessly sending the received station position attitude loss signal or station position standard signal to a handheld terminal of a nearby property supervisor through a local area network;
the miniature camera is arranged above the building access passage and used for carrying out camera shooting operation with preset time intervals on the entrance guard environment of the building so as to obtain continuous multiframe entrance guard environment images on a time axis, wherein different entrance guard environment images correspond to different camera shooting time points;
the filter processing mechanism is arranged in an electrical box of a building, is connected with the miniature camera and is used for carrying out sharpening processing based on the USM filter on each frame of received concierge environment image so as to obtain a corresponding real-time sharpened image;
the data sharpening device is connected with the filter processing mechanism and is used for carrying out spatial differentiation sharpening processing on the received real-time sharpened image so as to obtain and output a corresponding data sharpened image;
the artifact removing device is arranged in an electrical box of a building, is connected with the data sharpening device and is used for executing artifact removing processing on the received data sharpened image so as to obtain and output a corresponding artifact removed image;
the content storage equipment is realized by adopting a DRAM (dynamic random access memory) storage chip, is arranged in an electrical box of a building and is used for storing a standard human body standing posture pattern, and the standard human body standing posture pattern is an image which is obtained by capturing a person standing in a standard human body standing posture and only comprises the person;
the content storage device stores a plurality of standard human body standing posture patterns, and the plurality of standard human body standing posture patterns are a plurality of images obtained by capturing people standing in the standard human body standing posture at different angles;
the posture identification mechanism is respectively connected with the artifact removal mechanism and the content storage equipment and is used for carrying out similarity analysis on image content between a human body imaging area where the human body object with the largest area in the artifact removal image is located and each standard human body standing posture pattern so as to obtain the similarity percentage corresponding to the standard human body standing posture pattern;
the parameter setting equipment is respectively connected with the miniature camera and the posture identification mechanism and is used for taking the corresponding artifact removed image as a standard standing posture image when the similarity percentage corresponding to one standard human body standing posture pattern in the plurality of standard human body standing posture patterns is larger than a preset percentage threshold value;
the parameter setting equipment is also used for taking the corresponding artifact removed image as a non-standard standing posture image when the similarity percentage corresponding to a certain standard human body standing posture pattern does not exist in the plurality of standard human body standing posture patterns and is larger than a preset percentage threshold;
the content storage device is also connected with the parameter setting device and is used for storing the preset percentage threshold;
the content storage device adopts a partition storage mechanism to set a plurality of storage areas with different sizes, and the different storage areas are used for storing different types of data.
4. The standing posture standard degree analysis platform of claim 3, wherein:
in the content storage device, a storage area for storing the preset percentage threshold is different from an image area for storing the plurality of standard human posture patterns.
5. The standing position attitude standard degree analysis platform of claim 4, wherein the platform further comprises:
and the parallel line socket is respectively connected with the filter processing mechanism, the attitude identification mechanism and the signal output end of the parameter setting equipment.
6. The standing position attitude standard degree analysis platform of claim 5, wherein:
the filter processing mechanism is internally provided with a serial communication interface and is used for receiving a control signal sent by a user through the serial communication interface.
7. The standing position attitude standard degree analysis platform of claim 6, wherein the platform further comprises:
the buzzer is connected with the gesture recognition mechanism and used for executing the alarm action of preset playing frequency when the gesture recognition mechanism is in an abnormal state;
the attitude identification mechanism and the filter processing mechanism share the same data cache device, and the data cache device divides the data cache address into two sections for respectively storing cache data of the filter processing mechanism and the attitude identification mechanism;
and the data cache equipment is respectively connected with the filter processing mechanism and the posture identification mechanism through parallel data buses.
8. The standing position attitude standard degree analysis platform of claim 7, wherein:
the parameter setting equipment is also internally provided with an RAM storage unit which is used for storing input signals and/or output signals of the parameter setting equipment.
9. A method of standing posture standard degree analysis, the method comprising using the standing posture standard degree analysis platform of any one of claims 1 to 8 to detect the standard degree of standing posture of a standing post person for any length of time.
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| Publication number | Priority date | Publication date | Assignee | Title |
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Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103021136A (en) * | 2012-12-24 | 2013-04-03 | 电子科技大学 | System and method for monitoring swimming pool drowning based on Internet of Things |
| CN104281839A (en) * | 2014-09-26 | 2015-01-14 | 深圳市同洲电子股份有限公司 | Body posture identification method and device |
| CN108564037A (en) * | 2018-04-15 | 2018-09-21 | 南京明辉创鑫电子科技有限公司 | A kind of salute detection bearing calibration |
| CN109688351A (en) * | 2017-10-13 | 2019-04-26 | 华为技术有限公司 | A kind of image-signal processing method, device and equipment |
| CN109692004A (en) * | 2017-10-24 | 2019-04-30 | 浙江智柔科技有限公司 | A kind of method and apparatus detecting human body stance |
| CN109753891A (en) * | 2018-12-19 | 2019-05-14 | 山东师范大学 | Football player's orientation calibration method and system based on human body critical point detection |
| CN110210284A (en) * | 2019-04-12 | 2019-09-06 | 哈工大机器人义乌人工智能研究院 | A kind of human body attitude behavior intelligent Evaluation method |
| CN110288813A (en) * | 2019-05-20 | 2019-09-27 | 广州市国翼教育科技有限公司 | It is a kind of health sitting posture monitoring method with and its monitoring system |
| CN110309743A (en) * | 2019-06-21 | 2019-10-08 | 新疆铁道职业技术学院 | Human body attitude judgment method and device based on professional standard movement |
| CN111611876A (en) * | 2020-04-29 | 2020-09-01 | 华中科技大学同济医学院附属同济医院 | Big data analysis-based step posture correction method and system |
-
2020
- 2020-11-04 CN CN202011217717.3A patent/CN113051990B/en active Active
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103021136A (en) * | 2012-12-24 | 2013-04-03 | 电子科技大学 | System and method for monitoring swimming pool drowning based on Internet of Things |
| CN104281839A (en) * | 2014-09-26 | 2015-01-14 | 深圳市同洲电子股份有限公司 | Body posture identification method and device |
| CN109688351A (en) * | 2017-10-13 | 2019-04-26 | 华为技术有限公司 | A kind of image-signal processing method, device and equipment |
| CN109692004A (en) * | 2017-10-24 | 2019-04-30 | 浙江智柔科技有限公司 | A kind of method and apparatus detecting human body stance |
| CN108564037A (en) * | 2018-04-15 | 2018-09-21 | 南京明辉创鑫电子科技有限公司 | A kind of salute detection bearing calibration |
| CN109753891A (en) * | 2018-12-19 | 2019-05-14 | 山东师范大学 | Football player's orientation calibration method and system based on human body critical point detection |
| CN110210284A (en) * | 2019-04-12 | 2019-09-06 | 哈工大机器人义乌人工智能研究院 | A kind of human body attitude behavior intelligent Evaluation method |
| CN110288813A (en) * | 2019-05-20 | 2019-09-27 | 广州市国翼教育科技有限公司 | It is a kind of health sitting posture monitoring method with and its monitoring system |
| CN110309743A (en) * | 2019-06-21 | 2019-10-08 | 新疆铁道职业技术学院 | Human body attitude judgment method and device based on professional standard movement |
| CN111611876A (en) * | 2020-04-29 | 2020-09-01 | 华中科技大学同济医学院附属同济医院 | Big data analysis-based step posture correction method and system |
Non-Patent Citations (4)
| Title |
|---|
| 俞一彪等: "《数字信号处理》", 31 August 2005 * |
| 孙冠男等: "《Photoshop CS6平面设计与制作》", 31 January 2019 * |
| 胡晓军等: "《MATLAB应用图像处理》", 31 March 2010 * |
| 莫照等: "《大学计算机》", 31 August 2018 * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114666456A (en) * | 2022-04-05 | 2022-06-24 | 泰州程顺制冷设备有限公司 | Detection system and method utilizing cloud processing |
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