CN107736893A - mental emotion monitoring system based on mobile device - Google Patents
mental emotion monitoring system based on mobile device Download PDFInfo
- Publication number
- CN107736893A CN107736893A CN201710779757.9A CN201710779757A CN107736893A CN 107736893 A CN107736893 A CN 107736893A CN 201710779757 A CN201710779757 A CN 201710779757A CN 107736893 A CN107736893 A CN 107736893A
- Authority
- CN
- China
- Prior art keywords
- mental emotion
- data
- mental
- mobile device
- emotion monitoring
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/16—Devices for psychotechnics; Testing reaction times ; Devices for evaluating the psychological state
- A61B5/165—Evaluating the state of mind, e.g. depression, anxiety
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
- A61B5/6887—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient mounted on external non-worn devices, e.g. non-medical devices
- A61B5/6898—Portable consumer electronic devices, e.g. music players, telephones, tablet computers
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7235—Details of waveform analysis
- A61B5/7264—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems
Landscapes
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Psychiatry (AREA)
- Biophysics (AREA)
- Pathology (AREA)
- Biomedical Technology (AREA)
- Heart & Thoracic Surgery (AREA)
- Medical Informatics (AREA)
- Molecular Biology (AREA)
- Surgery (AREA)
- Animal Behavior & Ethology (AREA)
- General Health & Medical Sciences (AREA)
- Public Health (AREA)
- Veterinary Medicine (AREA)
- Artificial Intelligence (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Signal Processing (AREA)
- Physiology (AREA)
- Multimedia (AREA)
- Psychology (AREA)
- Social Psychology (AREA)
- Child & Adolescent Psychology (AREA)
- Evolutionary Computation (AREA)
- Fuzzy Systems (AREA)
- Mathematical Physics (AREA)
- Hospice & Palliative Care (AREA)
- Educational Technology (AREA)
- Developmental Disabilities (AREA)
- Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
- Telephonic Communication Services (AREA)
Abstract
The invention discloses a kind of mental emotion monitoring system based on mobile device, including screen pressure sensor and vibrating sensor, screen pressure sensor, vibrating sensor are all connected with mental emotion monitoring unit, mental emotion monitoring unit connects display unit, and mental emotion monitoring unit and display unit are all connected with mental emotion Monitoring Data server；Many-side, which is carried out, present invention employs vibrating sensor combination screen pressure sensor mode combines test format gathered data, mobile device is realized to monitor human psychological's mood, practicality is stronger, infrastructure device cost input need not be added, enable people to monitor and grasp in real time the psychology of oneself or related personnel, mood data, and corresponding calculating can be made according to obtained data, the mental emotion of guide people well develops, amount of equipment power consumption is low simultaneously, it is small by such environmental effects, it is high that mobile phone mobile device integrates rate, it can be published in any one mobile phone mobile device, it is convenient, efficiently.
Description
Technical field
The invention belongs to Computer systems technical field, is related to a kind of mental emotion monitoring system, is specifically one kind
Mental emotion monitoring system based on mobile device.
Background technology
Good school work mood can promote the development of student's cognition, excite the initiative and enthusiasm of study, reduce bad
The generation of school work mood, promote student's psychosomatic development.And it is current, China on mental emotion professional system equipment with
Software systems are almost nil.
In recent years, domestic to include foreign countries, being related to the components of the correlation functions such as mood detection, to also rely on practicality very low
Heart rate sensor, detection mode is very single, can not reach the requirement of " monitoring in time ".The low original of heart rate sensor utility ratio
Because also causing the integrated rate of the mobile devices such as mobile phone relatively low, and the such environmental effects being subject to during use are larger, such as make
To be in during in quiet environment, can not carry out detecting whenever and wherever possible etc..Also therefore the heart rate sensor detects the heart
In mood overall utility it is very small, including wearable devices such as bracelet classes.
The mental emotion monitoring system that China uses at present, its major defect are that related system software, equipment lack, when
Lower monitoring of equipment form is single, it is necessary to which equipment popularity rate is low, practicality is low.Mental emotion monitoring system master based on mobile phone pressure sensitivity
Solve the problems such as mobile device can not monitor to the mood at heart of people, detection mental emotion equipment practicality and popularity rate are low.
The content of the invention
It is an object of the invention to provide a kind of convenient, efficient mental emotion monitoring system based on mobile device.
The purpose of the present invention can be achieved through the following technical solutions：
Mental emotion monitoring system based on mobile device, including screen pressure sensor, vibrating sensor, mental emotion
Monitoring unit, display unit and mental emotion Monitoring Data server；
Described screen pressure sensor, vibrating sensor pass through general-purpose interface and connect mental emotion monitoring unit, institute
The mental emotion monitoring unit connection display unit stated, described mental emotion monitoring unit and display unit are connected by network
Connect mental emotion Monitoring Data server；
Described screen pressure sensor is used to gather pressure data, touch screen area number that user uses mobile device touch screen
According to touch screen frequency data, and be sent to mental emotion monitoring modular；
Described vibrating sensor is used to gather vibration frequency data of the user using mobile device, and is sent to psychological feelings
Thread monitoring unit；
Described mental emotion monitoring unit is used to obtain and preserves screen pressure sensor and vibrating sensor collects
Data, and transmit data to mental emotion Monitoring Data server and display unit；
Described mental emotion Monitoring Data server is used to analyze the data of mental emotion monitoring unit output,
User psychology mood is identified, and is output to display unit；
Described display unit, for showing the data of mental emotion monitoring unit and the output of mental emotion identification module.
Further, described mental emotion Monitoring Data server includes
Wireless communication module, receive the data of mental emotion monitoring unit output；
Mental emotion data analysis module, the data received according to wireless communication module are analyzed, and user is carried out
Mental emotion detection, tracking, classification, and export analysis result；
Mental emotion identification module, the analysis result exported according to mental emotion data analysis module, the heart is carried out to user
Emotion identification is managed, exports recognition result, and be sent to display unit；
Database module, the analysis result and mental emotion identification module exported according to mental emotion data analysis module are defeated
The recognition result gone out, establish multi-modal Intellisense and affective interaction database.
Further, described mental emotion data analysis module passes through the deep neural network mould towards multi-modal perception
Type, structure and parallel algorithm are analyzed receiving data.
Further, the characteristic information Cooperative Analysis understanding side that described mental emotion identification module passes through multi-modal fusion
Method, based in the Computational frame and inference mechanism of multi-modal psychological characteristics Cooperative Analysis, with strange gram of pula mood threedimensional model
Mental emotion is combined, and mental emotion identification is carried out to user.
Beneficial effects of the present invention：Compared with current China's related system and equipment service condition, present invention employs shake
Dynamic sensor combination screen pressure sensor mode carries out many-side and combines test format gathered data, realizes mobile device pair
Human psychological's mood monitors, and for current domestic wearable device, practicality is stronger, without adding infrastructure device cost
Input, enable people to monitor and grasp in real time psychology, the mood data of oneself or related personnel, and can be according to obtained number
According to corresponding calculating is made, the mental emotion of guide people well develops, at the same amount of equipment power consumption it is low, by such environmental effects it is small,
Mobile phone mobile device integrates rate height, can be published in any one mobile phone mobile device, convenient, efficient.
Brief description of the drawings
The present invention is described in further detail with specific embodiment below in conjunction with the accompanying drawings.
Fig. 1 is the system structure diagram of the present invention.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete
Site preparation describes, it is clear that described embodiment is only part of the embodiment of the present invention, rather than whole embodiments.It is based on
Embodiment in the present invention, those of ordinary skill in the art are obtained all other under the premise of creative work is not made
Embodiment, belong to the scope of protection of the invention.
As shown in figure 1, the invention provides a kind of mental emotion monitoring system based on mobile device, including installed in tactile
Shield screen pressure sensor, vibrating sensor, mental emotion monitoring unit, display unit and the long-range heart in mobile device
Manage mood Monitoring Data server.Screen pressure sensor, vibrating sensor connect mental emotion by general-purpose interface and monitored
Unit, mental emotion monitoring unit connect display unit by general-purpose interface, and mental emotion monitoring unit passes through the network connection heart
Manage mood Monitoring Data server.
Screen pressure sensor, for gather user using the pressure data of mobile device touch screen, touch screen area data and
Touch screen frequency data, and it is sent to mental emotion monitoring modular.
Vibrating sensor, the vibration frequency data of mobile device are used for gathering user, and be sent to mental emotion prison
Survey unit.
Mental emotion monitoring unit, the number collected for obtaining and preserving screen pressure sensor and vibrating sensor
According to, and transmit data to mental emotion Monitoring Data server and display unit.
Mental emotion Monitoring Data server includes wireless communication module, mental emotion data analysis module, mental emotion
Identification module and database module.
Wireless communication module, it is connected by wireless network with the mental emotion monitoring unit in mobile device, receives psychology
The data of mood monitoring unit output.
Mental emotion data analysis module, the touch screen pressure data received according to wireless communication module, touch screen area number
According to, touch screen frequency data and vibration frequency data, by towards the deep neural network model of multi-modal perception, structure and simultaneously
Row algorithm carries out mental emotion to user people and is detected, tracked, classified, and exports analysis result.
Mental emotion identification module, the analysis result exported according to mental emotion data analysis module, is melted by multi-modal
The characteristic information Cooperative Analysis understanding method of conjunction, based on the Computational frame and inference mechanism of multi-modal psychological characteristics Cooperative Analysis,
It is combined with the mental emotion in the mood threedimensional model of strange gram of pula, mental emotion is identified, exports recognition result, and lead to
Cross wireless communication module and be sent to display unit.
Database module, the analysis result and mental emotion identification module exported according to mental emotion data analysis module are defeated
The recognition result gone out, establish multi-modal Intellisense and the affective interaction database of support big data deep learning.
Display unit, for showing the data of mental emotion monitoring unit and the output of mental emotion identification module.
Operation principle of the present invention：User operates mobile device, and gather user by screen pressure sensor is set using movement
Pressure data, touch screen area data and the touch screen frequency data of standby touch screen, vibrating sensor collection user use mobile device
Vibration frequency data, data are obtained and preserved by mental emotion monitoring unit by sensor general-purpose interface, then by mental emotion
Monitoring unit by data be passed to mental emotion Monitoring Data server carry out statistics and behavioural analysis algorithm calculate etc. operation, then by
The display unit that mental emotion Monitoring Data server feeds back to obtained result mobile device is shown, is looked into for user
See.
Compared with current China's related system and equipment service condition, present invention employs vibrating sensor combination screen pressure
Sense approach sensor carries out many-side and combines test format gathered data, realizes mobile device and human psychological's mood is monitored, phase
For current domestic wearable device, practicality is stronger, without adding infrastructure device cost input, enables people to reality
When monitor and grasp psychology, the mood data of oneself or related personnel, and corresponding calculating can be made according to obtained data,
The mental emotion of guide people well develops, at the same amount of equipment power consumption it is low, by such environmental effects are small, mobile phone mobile device integrates rate
Height, it can be published in any one mobile phone mobile device, it is convenient, efficient.
For convenience of description, various units are divided into function when describing apparatus above, module describes respectively.Certainly, exist
Implement each unit, the function of module can be realized in same or multiple softwares and/or hardware during the application.
As seen through the above description of the embodiments, those skilled in the art can be understood that the application can
Realized by the mode of software plus required general hardware platform.Based on such understanding, the technical scheme essence of the application
On the part that is contributed in other words to prior art can be embodied in the form of software product, the computer software product
It can be stored in storage medium, such as ROM/RAM, magnetic disc, CD, including some instructions are causing a computer equipment
(can be personal computer, server, either network equipment etc.) performs each embodiment of the application or embodiment
Method described in some parts.
Device embodiments described above are only schematical, wherein the unit illustrated as separating component
It can be or may not be physically separate, can be as the part that unit is shown or may not be physics list
Member, you can with positioned at a place, or can also be distributed on multiple NEs.It can be selected according to the actual needs
In some or all of module realize the purpose of present embodiment scheme.Those of ordinary skill in the art are not paying creation
Property work in the case of, you can to understand and implement.
The application can be used in numerous general or special purpose computing system environments or configuration.Such as：Personal computer, service
Device computer, handheld device or portable set, laptop device, multicomputer system, the system based on microprocessor, machine top
Box, programmable consumer-elcetronics devices, network PC, minicom, mainframe computer including any of the above system or equipment
DCE etc..
The application can be described in the general context of computer executable instructions, such as program
Module.Usually, program module includes performing particular task or realizes routine, program, object, the group of particular abstract data type
Part, data structure etc..The application can also be put into practice in a distributed computing environment, in these DCEs, by
Task is performed and connected remote processing devices by communication network.In a distributed computing environment, program module can be with
In the local and remote computer-readable storage medium including storage device.
In the description of this specification, the description of reference term " one embodiment ", " example ", " specific example " etc. means
At least one implementation of the present invention is contained in reference to specific features, structure, material or the feature that the embodiment or example describe
In example or example.In this manual, identical embodiment or example are not necessarily referring to the schematic representation of above-mentioned term.
Moreover, specific features, structure, material or the feature of description can close in any one or more embodiments or example
Suitable mode combines.
Above content is only to structure example of the present invention and explanation, affiliated those skilled in the art couple
Described specific embodiment is made various modifications or supplement or substituted using similar mode, without departing from invention
Structure surmounts scope defined in the claims, all should belong to protection scope of the present invention.
Claims (4)
1. the mental emotion monitoring system based on mobile device, it is characterised in that：Including screen pressure sensor, vibrating sensing
Device, mental emotion monitoring unit, display unit and mental emotion Monitoring Data server；
Described screen pressure sensor, vibrating sensor are all connected with mental emotion monitoring unit, the monitoring of described mental emotion
Unit connects display unit, and described mental emotion monitoring unit and display unit are all connected with mental emotion Monitoring Data service
Device；
Described screen pressure sensor be used to gathering user using the pressure data of mobile device touch screen, touch screen area data and
Touch screen frequency data, and it is sent to mental emotion monitoring modular；
Described vibrating sensor is used to gather vibration frequency data of the user using mobile device, and is sent to mental emotion prison
Survey unit；
Described mental emotion monitoring unit is used to obtaining and preserving the number that screen pressure sensor and vibrating sensor collect
According to, and transmit data to mental emotion Monitoring Data server and display unit；
Described mental emotion Monitoring Data server is used to analyze the data of mental emotion monitoring unit output, identifies
User psychology mood, and it is output to display unit；
Described display unit, for showing the data of mental emotion monitoring unit and the output of mental emotion identification module.
2. the mental emotion monitoring system according to claim 1 based on mobile device, it is characterised in that：Described psychology
Mood Monitoring Data server includes
Wireless communication module, receive the data of mental emotion monitoring unit output；
Mental emotion data analysis module, the data received according to wireless communication module are analyzed, and psychology is carried out to user
Mood detection, tracking, classification, and export analysis result；
Mental emotion identification module, the analysis result exported according to mental emotion data analysis module, psychological feelings are carried out to user
Thread identifies, exports recognition result, and be sent to display unit；
What database module, the analysis result exported according to mental emotion data analysis module and mental emotion identification module exported
Recognition result, establish multi-modal Intellisense and affective interaction database.
3. the mental emotion monitoring system according to claim 2 based on mobile device, it is characterised in that：Described psychology
Mood data analysis module is by the deep neural network model, structure and parallel algorithm towards multi-modal perception to receiving data
Analyzed.
4. the mental emotion monitoring system according to claim 2 based on mobile device, it is characterised in that：Described psychology
Emotion identification module is divided by the characteristic information Cooperative Analysis understanding method of multi-modal fusion based on the collaboration of multi-modal psychological characteristics
The Computational frame and inference mechanism of analysis, it is combined with the mental emotion in the mood threedimensional model of strange gram of pula, the heart is carried out to user
Manage Emotion identification.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710779757.9A CN107736893A (en) | 2017-09-01 | 2017-09-01 | mental emotion monitoring system based on mobile device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710779757.9A CN107736893A (en) | 2017-09-01 | 2017-09-01 | mental emotion monitoring system based on mobile device |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN107736893A true CN107736893A (en) | 2018-02-27 |
Family
ID=61235074
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710779757.9A Pending CN107736893A (en) | 2017-09-01 | 2017-09-01 | mental emotion monitoring system based on mobile device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN107736893A (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109145871A (en) * | 2018-09-14 | 2019-01-04 | 广州杰赛科技股份有限公司 | Psychology and behavior recognition methods, device and storage medium |
| CN110471534A (en) * | 2019-08-23 | 2019-11-19 | 靖江市人民医院 | Information processing method and tele-medicine management system based on Emotion identification |
| CN113791690A (en) * | 2021-09-22 | 2021-12-14 | 入微智能科技(南京)有限公司 | Man-machine interaction public equipment with real-time emotion recognition function |
Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1626029A (en) * | 2003-11-20 | 2005-06-15 | 索尼株式会社 | Emotion calculating apparatus and method and mobile communication apparatus |
| US20080214944A1 (en) * | 2007-02-09 | 2008-09-04 | Morris Margaret E | System, apparatus and method for mobile real-time feedback based on changes in the heart to enhance cognitive behavioral therapy for anger or stress reduction |
| WO2009097344A1 (en) * | 2008-01-28 | 2009-08-06 | Chris Zois | Video game and method of play |
| CN101517636A (en) * | 2006-10-03 | 2009-08-26 | 安德烈·耶夫根尼耶维奇·纳兹德拉坚科 | Method for determining nervous state of a person according to voice and device for implementing same |
| CN101662546A (en) * | 2009-09-16 | 2010-03-03 | 中兴通讯股份有限公司 | Method of monitoring mood and device thereof |
| CN102438064A (en) * | 2011-09-28 | 2012-05-02 | 宇龙计算机通信科技(深圳)有限公司 | Emotion expression method and system of mobile terminal and mobile terminal |
| CN103257736A (en) * | 2012-02-21 | 2013-08-21 | 纬创资通股份有限公司 | User emotion detection method and handwriting input electronic device applying same |
| CN103596144A (en) * | 2012-08-14 | 2014-02-19 | 宏达国际电子股份有限公司 | Systems for providing emotional tone-based notifications for communications and related methods |
| CN103654798A (en) * | 2013-12-11 | 2014-03-26 | 四川大学华西医院 | Method and device for monitoring and recording emotion |
| CN103926997A (en) * | 2013-01-11 | 2014-07-16 | 北京三星通信技术研究有限公司 | Method for determining emotional information based on user input and terminal |
| CN105549885A (en) * | 2015-12-10 | 2016-05-04 | 重庆邮电大学 | Method and device for recognizing user emotion during screen sliding operation |
| US20160174889A1 (en) * | 2014-12-20 | 2016-06-23 | Ziv Yekutieli | Smartphone text analyses |
-
2017
- 2017-09-01 CN CN201710779757.9A patent/CN107736893A/en active Pending
Patent Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1626029A (en) * | 2003-11-20 | 2005-06-15 | 索尼株式会社 | Emotion calculating apparatus and method and mobile communication apparatus |
| CN101517636A (en) * | 2006-10-03 | 2009-08-26 | 安德烈·耶夫根尼耶维奇·纳兹德拉坚科 | Method for determining nervous state of a person according to voice and device for implementing same |
| US20080214944A1 (en) * | 2007-02-09 | 2008-09-04 | Morris Margaret E | System, apparatus and method for mobile real-time feedback based on changes in the heart to enhance cognitive behavioral therapy for anger or stress reduction |
| WO2009097344A1 (en) * | 2008-01-28 | 2009-08-06 | Chris Zois | Video game and method of play |
| CN101662546A (en) * | 2009-09-16 | 2010-03-03 | 中兴通讯股份有限公司 | Method of monitoring mood and device thereof |
| CN102438064A (en) * | 2011-09-28 | 2012-05-02 | 宇龙计算机通信科技(深圳)有限公司 | Emotion expression method and system of mobile terminal and mobile terminal |
| CN103257736A (en) * | 2012-02-21 | 2013-08-21 | 纬创资通股份有限公司 | User emotion detection method and handwriting input electronic device applying same |
| CN103596144A (en) * | 2012-08-14 | 2014-02-19 | 宏达国际电子股份有限公司 | Systems for providing emotional tone-based notifications for communications and related methods |
| CN103926997A (en) * | 2013-01-11 | 2014-07-16 | 北京三星通信技术研究有限公司 | Method for determining emotional information based on user input and terminal |
| CN103654798A (en) * | 2013-12-11 | 2014-03-26 | 四川大学华西医院 | Method and device for monitoring and recording emotion |
| US20160174889A1 (en) * | 2014-12-20 | 2016-06-23 | Ziv Yekutieli | Smartphone text analyses |
| CN105549885A (en) * | 2015-12-10 | 2016-05-04 | 重庆邮电大学 | Method and device for recognizing user emotion during screen sliding operation |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109145871A (en) * | 2018-09-14 | 2019-01-04 | 广州杰赛科技股份有限公司 | Psychology and behavior recognition methods, device and storage medium |
| CN109145871B (en) * | 2018-09-14 | 2020-09-15 | 广州杰赛科技股份有限公司 | Psychological behavior recognition method, device and storage medium |
| CN110471534A (en) * | 2019-08-23 | 2019-11-19 | 靖江市人民医院 | Information processing method and tele-medicine management system based on Emotion identification |
| CN110471534B (en) * | 2019-08-23 | 2022-11-04 | 靖江市人民医院 | Information processing method based on emotion recognition and remote medical management system |
| CN113791690A (en) * | 2021-09-22 | 2021-12-14 | 入微智能科技(南京)有限公司 | Man-machine interaction public equipment with real-time emotion recognition function |
| CN113791690B (en) * | 2021-09-22 | 2024-03-29 | 入微智能科技(南京)有限公司 | Man-machine interaction public equipment with real-time emotion recognition function |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN104573360B (en) | A kind of evaluating system and evaluating method based on intelligent wearable device | |
| Manikandan et al. | Automation of Smart Home for the Wellbeing of Elders Using Empirical Big Data Analysis | |
| CN107736893A (en) | mental emotion monitoring system based on mobile device | |
| CN105279387A (en) | Execution function evaluating and training system for autism spectrum disorder children | |
| CN106821366A (en) | Intelligent cardiac monitor system | |
| CN105046622A (en) | Smart phone-based family health monitoring system | |
| CN105962955A (en) | Children concentration acquiring method and system | |
| CN105700690A (en) | Mobile platform based electroencephalogram multi-media control system | |
| Starnini et al. | Robust modeling of human contact networks across different scales and proximity-sensing techniques | |
| CN105759677A (en) | Multimode behavior analysis and monitoring system and method adapted to visual terminal operation post | |
| Van Murugiah et al. | Wearable IOT based Malaysian sign language recognition and text translation system | |
| CN207966119U (en) | The identifying system of equipment user's destruction in a kind of shop | |
| CN104224145A (en) | Double-screen display electronic health box application system based on multi-parameter monitor | |
| CN107802273A (en) | A kind of depressive state monitoring device, system and Forecasting Methodology | |
| CN106997428A (en) | Mesh examines system | |
| CN116246781A (en) | J2EE elderly monitoring system based on Internet of things technology | |
| CN109256219A (en) | A kind of evaluating system and evaluating method based on intelligent wearable device | |
| CN115630814A (en) | City management method, city management device, terminal equipment and storage medium | |
| Merzougui | Adaptation of an intelligent mobile assistant medical (IMAM) of the heterogeneous data for the telemedicine services: Design and implementation | |
| Zhuang et al. | The design and implementation of a wearable human activity recognition system based on IMU | |
| Song et al. | A multidimensional workload assessment method for power grid dispatcher | |
| CN111403033A (en) | Comprehensive health data acquisition and analysis system based on intelligent terminal | |
| Yang | Application of wearable devices based on artificial intelligence sensors in sports human health monitoring | |
| Wang et al. | A brain computer interface control system based on cloud platform for Minitype UAVs | |
| CN113297442A (en) | EEG real-time interactive analysis system and real-time interactive analysis method based on web visualization platform |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20180227 |
|
| RJ01 | Rejection of invention patent application after publication |