CN107464188A - A kind of internet social networking application system based on Internet of Things mood sensing technology - Google Patents
A kind of internet social networking application system based on Internet of Things mood sensing technology Download PDFInfo
- Publication number
- CN107464188A CN107464188A CN201710488422.1A CN201710488422A CN107464188A CN 107464188 A CN107464188 A CN 107464188A CN 201710488422 A CN201710488422 A CN 201710488422A CN 107464188 A CN107464188 A CN 107464188A
- Authority
- CN
- China
- Prior art keywords
- internet
- mood
- acquisition module
- social
- hardware
- 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
- 230000036651 mood Effects 0.000 title claims abstract description 77
- 230000006855 networking Effects 0.000 title claims abstract description 31
- 238000005516 engineering process Methods 0.000 title claims abstract description 25
- 238000004422 calculation algorithm Methods 0.000 claims abstract description 37
- 238000000034 method Methods 0.000 claims abstract description 17
- 230000008451 emotion Effects 0.000 claims abstract description 16
- 230000002452 interceptive effect Effects 0.000 claims abstract description 16
- 238000005259 measurement Methods 0.000 claims abstract description 16
- 230000003993 interaction Effects 0.000 claims abstract description 15
- 230000008859 change Effects 0.000 claims abstract description 8
- 238000012549 training Methods 0.000 claims description 45
- 230000002996 emotional effect Effects 0.000 claims description 26
- 230000006870 function Effects 0.000 claims description 21
- 239000013598 vector Substances 0.000 claims description 21
- 238000004891 communication Methods 0.000 claims description 5
- 238000002474 experimental method Methods 0.000 claims description 5
- 238000001914 filtration Methods 0.000 claims description 5
- 230000008569 process Effects 0.000 claims description 5
- 238000012706 support-vector machine Methods 0.000 claims description 5
- 230000005540 biological transmission Effects 0.000 claims description 4
- 230000002459 sustained effect Effects 0.000 claims description 4
- 238000007635 classification algorithm Methods 0.000 claims description 3
- 238000013507 mapping Methods 0.000 claims description 3
- 238000005457 optimization Methods 0.000 claims description 3
- 241000208340 Araliaceae Species 0.000 claims 1
- 235000005035 Panax pseudoginseng ssp. pseudoginseng Nutrition 0.000 claims 1
- 235000003140 Panax quinquefolius Nutrition 0.000 claims 1
- 235000013399 edible fruits Nutrition 0.000 claims 1
- 235000008434 ginseng Nutrition 0.000 claims 1
- 238000009434 installation Methods 0.000 claims 1
- 230000008447 perception Effects 0.000 claims 1
- 230000000694 effects Effects 0.000 abstract description 12
- 238000013461 design Methods 0.000 description 13
- 101150054987 ChAT gene Proteins 0.000 description 8
- 101100203187 Mus musculus Sh2d3c gene Proteins 0.000 description 8
- 238000010586 diagram Methods 0.000 description 4
- 238000011161 development Methods 0.000 description 3
- 238000007726 management method Methods 0.000 description 3
- 238000012360 testing method Methods 0.000 description 3
- 238000005265 energy consumption Methods 0.000 description 2
- 238000013401 experimental design Methods 0.000 description 2
- 239000000463 material Substances 0.000 description 2
- 230000008901 benefit Effects 0.000 description 1
- 230000036772 blood pressure Effects 0.000 description 1
- 230000036760 body temperature Effects 0.000 description 1
- 238000013480 data collection Methods 0.000 description 1
- 238000010230 functional analysis Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 239000004973 liquid crystal related substance Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 230000003860 sleep quality Effects 0.000 description 1
- 230000002618 waking effect Effects 0.000 description 1
- 238000003466 welding Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/01—Social networking
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
- G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
- G06F18/2411—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on the proximity to a decision surface, e.g. support vector machines
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F8/00—Arrangements for software engineering
- G06F8/30—Creation or generation of source code
- G06F8/38—Creation or generation of source code for implementing user interfaces
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/15—Biometric patterns based on physiological signals, e.g. heartbeat, blood flow
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- Data Mining & Analysis (AREA)
- Computing Systems (AREA)
- Human Computer Interaction (AREA)
- Software Systems (AREA)
- Health & Medical Sciences (AREA)
- Business, Economics & Management (AREA)
- General Health & Medical Sciences (AREA)
- Strategic Management (AREA)
- Computer Networks & Wireless Communication (AREA)
- Economics (AREA)
- Human Resources & Organizations (AREA)
- Marketing (AREA)
- Primary Health Care (AREA)
- Signal Processing (AREA)
- Tourism & Hospitality (AREA)
- General Business, Economics & Management (AREA)
- Medical Informatics (AREA)
- Life Sciences & Earth Sciences (AREA)
- Artificial Intelligence (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Bioinformatics & Computational Biology (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Evolutionary Biology (AREA)
- Evolutionary Computation (AREA)
- Multimedia (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
The invention discloses a kind of internet social networking application system based on Internet of Things mood sensing technology, including hardware acquisition module and social APP, hardware acquisition module measures the heart rate of record user in real time, shell temperature data are sent to mobile terminal；Social APP is installed on mobile terminal, social APP has basic chat feature, embedded mood sensing algorithm simultaneously, after correctly matching hardware acquisition module, the data that energy real-time reception hardware acquisition module uploads, analysis Current hardware uses user emotion, transmits mood sensing information by contour pattern color change or vibration in social APP, realizes mood sensing and interaction.This method, which is directed to, lacks scientific measurement, the present situation of interactive user real-time emotion change in current internet social networking application software, propose and incorporate Internet of Things mood sensing technology in internet social networking application, the blind area that current internet social networking application ignores user emotion interaction is filled up, the interactive experience in internet social activity is added, enriches social quality.
Description
Technical field
The invention belongs to internet of things field, and being related to a kind of internet social activity based on Internet of Things mood sensing technology should
With system, mood sensing is incorporated in internet social networking application by technology of Internet of things.
Background technology
With the development of Internet technology, PC and mobile device are very easy to the life of ordinary people, and internet is social
It is increasingly becoming main flow social activity mode to come into the youth group based on group of college students, or even was once occupying the part population
Social more than 80%.Internet social activity is the social activity of a kind of " non-contact type ", and main information communication is used as using text, picture
Mode, daily social time, cost are greatly saved.But emotion, attitude during at the same time traditional " contact-type " is social,
The high quality social activity mode such as body language is but increasingly difficult to embody in internet social activity.Increasing young people is to network society
The undue dependence handed over, daily sociability weaken, and maintain normal interpersonal relationships to need to take more time and monetary cost.
Under current overall background, people need a kind of solution saved social cost, lift social quality.
With the development of technology of Internet of things, intelligent wearable device is gradually popularized, and various sensors adds in equipment
Enter, make it possible that real-time measurement to each item data of human body, such as people monitor the motion state of oneself by Intelligent bracelet
And sleep quality.The application study of nearly 2 years shows that wearable device can also realize the monitoring of the mood of user, by blood pressure,
The collection information of the sensors such as heart rate, by suitable algorithm design, can with it is qualitative go out active user emotional state.
The content of the invention
In order to solve the problems, such as in internet social activity that " contact-type " social element is very few, the present invention introduces technology of Internet of things
Into internet social networking application, a kind of internet social networking application system based on Internet of Things mood sensing technology is proposed, passes through thing
Networking technology designs Intelligent hardware acquisition module, measures the information such as heart rate, the shell temperature of user, passes through certain parser
The emotional state of qualitative user, and interacted in social APP, realize and incorporate Emotion element in internet social activity.This kind
Solution effectively can incorporate mood sensing in internet social networking application, promote the hair of internet social activity diversification
Exhibition, improves social quality, has extensive research and application value.
The purpose of the present invention is achieved through the following technical solutions：It is a kind of based on the mutual of Internet of Things mood sensing technology
Networking social networking application system, including：
Hardware acquisition module, the basic measurement amount related for measuring user emotion, and it is real by way of Bluetooth transmission
Existing teletransmission；
Social APP, install on mobile terminals, for realizing basic internet social functions, while can also receive,
Analyze the data of hardware acquisition module measurement and the emotional change of user is characterized by specific interactive mode；In in social APP
Embedding mood sensing algorithm, using support vector cassification algorithm as core algorithm, the model parameter training to obtain with reference to historical data
User's current emotional is classified with real-time measuring data, so as to realize mood sensing.
Further, the hardware acquisition module, comprising photo-electric heart rate sensor and SMD temperature sensor, when with
Family closely touch sensor component when, hardware acquisition module records the real-time heart rate of user, shell temperature information, to adopting
Collect result and carry out smothing filtering, remove frequency glitches signal and noise, filtered result is stored in hardware acquisition module.
Further, the hardware acquisition module has the work(for being communicated and being transmitted data with the mobile terminal of binding
Can, communicate based on Blue-tooth communication method, hardware acquisition module and mobile terminal are by opening bluetooth, certification realizes that equipment is closed
Connection binding, hardware acquisition module send the real-time heart rate of storage, the timing of shell temperature information to mobile terminal.
Further, the social APP concrete structures include：Hardware driving layer, operating system layer, software layer, expression layer
With realize layer, wherein expression layer includes message interface, buddy list, chat interface and sets interface, and the setting interface has
Bind hardware acquisition module and select the function of mood interactive mode；Realize that there is layer network service, message presentation, mood to hand over
Mutually, data base administration, hardware connection and configuration management function, the mood interaction is by setting boundary by the result of mood sensing
The interactive mode of face setting interacts.
Further, the social APP obtains the corresponding mobile terminal of remote server storage after bluetooth binding is realized
Historical basis metrical information and mood label (happy, tranquil, sad) be used as training sample set, calculated with support vector cassification
Method is mood sensing algorithm basis, obtains correlation model parameters by training sample set and is stored in social APP internal databases
In, the measurement result of the hardware acquisition module of social APP timing acquisitions binding, binding model parameter acquiring bound device user's feelings
Thread simultaneously stores.
Further, the social APP has the interactive function of emotional information, and specific interaction realization is divided into two kinds of forms：
When chatting object's success bound device in social APP, if monitor that big ups and downs occur for chatting object's heart rate, mobile terminal
Signal is passed on the sustained vibration of vibrating motor short time；When chatting object's success bound device in social APP, timing acquisition feelings
Thread sensing results, and shown in the ad-hoc location of chat interface with color, happiness can be represented with red, be represented with blueness
It is tranquil, sadness is represented with black, off-line state is represented with grey.
Further, the mood sensing algorithm realizes mood sensing based on SVMs multi-classification algorithm, branch
The model for holding vector machine is defined in the linear classifier of the interval maximum on feature space, can be converted into one and solve convex two
The problem of secondary planning, classification results are obtained by solving-optimizing problem；In the training process, as long as ensureing classification results and true
Real value y is taken as acceptable within a scope ε, and the optimization problem expression formula is as follows：
This method passes through Nonlinear MappingThe training sample of lower dimensional space is mapped to higher dimensional space F, then in height
Classified in dimension space by linear classifier, wherein w represents weight vectors, wTFor its transposed vector, b represents linear threshold
Parameter, relevant parameter are obtained by introducing training set.
Further, training sample set is obtained by contrived experiment in the mood sensing algorithm：Emotional state is defined as
Happy, tranquil, sad three classes, and corresponding scene is designed successively, trainer uses hardware acquisition module under special scenes, leads to
Bluetooth binding mobile terminal is crossed, gathers corresponding data, trainer first rests to tranquility, and everyone continues half an hour per scene,
Obtain heart rate, temperature data and stick fixed affective tag, obtain training sample set；Training sample corresponding to each mobile terminal
Collection is preserved into remote server.
Further, mobile terminal obtains instruction corresponding to equipment after successfully hardware acquisition module is bound by server
White silk sample set trains obtained support vector cassification algorithm parameter and stores parameter；In the mistake that the social APP of opening is chatted
Cheng Zhong, hardware acquisition module gather user data and are sent to mobile terminal in real time, and mobile terminal passes through the mould after combined training
Shape parameter is classified to user's current emotional states, is judged that user is happy, tranquil or sad state, storage, is refreshed mood shape
State is simultaneously sent to corresponding chatting object.
Compared with prior art, the advantage of the invention is that：Innovatively by technology of Internet of things by mood sensing technology
Incorporate in internet social networking application, in current internet social networking application generally using text, picture, sound, video etc. as mainly
Under the overall background of social element, the change of social user emotion is turned to important element and is added thereto.Gathered by designing hardware
Module realizes the measurement of mood correlation fundamental quantity, designs mood sensing algorithm real-time qualitative user emotion and change, and finally exist
Emotional information interaction is carried out with color, mode of vibration in internet social networking application, successfully improves and " is connect in current internet social activity
The problem of social Quality Down that the social element of the type of touching " is very few to be brought, the social information exchange pattern in internet is enriched, is improved
Social experience of the user in internet social activity.
Brief description of the drawings
Fig. 1 is hardware acquisition module structural representation；
Fig. 2 is hardware material object PCB drawing；
Fig. 3 is social APP structured flowcharts
Fig. 4 is mood sensing algorithm flow block diagram；
Fig. 5 is social APP surface charts；
Fig. 6 is system realization and functional block diagram.
Embodiment
In order that those skilled in the art more fully understand the technical scheme in the present invention, below in conjunction with the accompanying drawings and specifically
Embodiment is described in further detail to the present invention.
A kind of internet social networking application system based on Internet of Things mood sensing technology provided by the invention, including：
Hardware acquisition module, the basic measurement amount related for measuring user emotion, and it is real by way of Bluetooth transmission
Existing teletransmission；
Social APP, install on mobile terminals, for realizing basic internet social functions, while can also receive,
Analyze the data of hardware acquisition module measurement and the emotional change of user is characterized by specific interactive mode；In in social APP
Embedding mood sensing algorithm, using support vector cassification algorithm as core algorithm, the model parameter training to obtain with reference to historical data
User's current emotional is classified with real-time measuring data, so as to realize mood sensing.
Further, the hardware acquisition module has a basic function of intelligent and portable hardware, small volume, low in energy consumption, easy
In carrying, comprising photo-electric heart rate sensor and SMD temperature sensor, when user's closely touch sensor component,
Hardware acquisition module records the real-time heart rate of user, shell temperature information, carries out smothing filtering to collection result, removes high frequency
Burr signal and noise, filtered result is stored in hardware acquisition module.
Further, the hardware acquisition module has the work(for being communicated and being transmitted data with the mobile terminal of binding
Can, communicate based on Blue-tooth communication method, hardware acquisition module and mobile terminal are by opening bluetooth, certification realizes that equipment is closed
Connection binding, hardware acquisition module send the real-time heart rate of storage, the timing of shell temperature information to mobile terminal.
Further, the social APP concrete structures include：Hardware driving layer, operating system layer, software layer, expression layer
With realize layer, wherein expression layer includes message interface, buddy list, chat interface and sets interface, and the setting interface has
Bind hardware acquisition module and select the function of mood interactive mode；Realize that there is layer network service, message presentation, mood to hand over
Mutually, data base administration, hardware connection and configuration management function, the mood interaction is by setting boundary by the result of mood sensing
The interactive mode of face setting interacts.
Further, the social APP obtains the corresponding mobile terminal of remote server storage after bluetooth binding is realized
Historical basis metrical information and mood label (happy, tranquil, sad) be used as training sample set, calculated with support vector cassification
Method is mood sensing algorithm basis, obtains correlation model parameters by training sample set and is stored in social APP internal databases
In, the measurement result of the hardware acquisition module of social APP timing acquisitions binding, binding model parameter acquiring bound device user's feelings
Thread simultaneously stores.
Further, the social APP has the interactive function of emotional information, and specific interaction realization is divided into two kinds of forms：
When chatting object's success bound device in social APP, if monitor that big ups and downs occur for chatting object's heart rate, mobile terminal
Signal is passed on the sustained vibration of vibrating motor short time；When chatting object's success bound device in social APP, timing acquisition feelings
Thread sensing results, and shown in the ad-hoc location of chat interface with color, happiness can be represented with red, be represented with blueness
It is tranquil, sadness is represented with black, off-line state is represented with grey.
Further, the mood sensing algorithm realizes mood sensing based on SVMs multi-classification algorithm, branch
The model for holding vector machine is defined in the linear classifier of the interval maximum on feature space, can be converted into one and solve convex two
The problem of secondary planning, classification results are obtained by solving-optimizing problem；In the training process, as long as ensureing classification results and true
Real value y is taken as acceptable within a scope ε, and the optimization problem expression formula is as follows：
This method passes through Nonlinear MappingThe training sample of lower dimensional space is mapped to higher dimensional space F, then in height
Classified in dimension space by linear classifier, wherein w represents weight vectors, wTFor its transposed vector, b represents linear threshold
Parameter, relevant parameter are obtained by introducing training set.
Further, supporting vector machine model training needs training sample set, training sample in the mood sensing algorithm
Collection is obtained by contrived experiment：Emotional state is defined as happy, tranquil, sad three classes, and designs corresponding scene successively, is trained
Person uses hardware acquisition module under special scenes, binds mobile terminal by bluetooth, gathers corresponding data, trainer first rests
To tranquility, everyone continues half an hour per scene, obtains heart rate, temperature data and sticks fixed affective tag, is instructed
Practice sample set；Training sample set corresponding to each mobile terminal is preserved into remote server.
Further, mobile terminal obtains instruction corresponding to equipment after successfully hardware acquisition module is bound by server
White silk sample set trains obtained support vector cassification algorithm parameter and stores parameter；In the mistake that the social APP of opening is chatted
Cheng Zhong, hardware acquisition module gather user data and are sent to mobile terminal in real time, and mobile terminal passes through the mould after combined training
Shape parameter is classified to user's current emotional states, is judged that user is happy, tranquil or sad state, storage, is refreshed mood shape
State is simultaneously sent to corresponding chatting object.
Embodiment
In the present embodiment, main design, making and the debugging for including hardware circuit of design of internet social networking application system,
Social APP designs, training sample set experimental design and realization, mood sensing algorithm design and realize four parts, are embodied
Process is as follows：
(1) design, making and the debugging of hardware circuit：System experienced including certainty functional analysis, Choice of Sensors
And the process such as purchase, PCB versions drafting (Fig. 2), welding, debugging and follow-up test.Hardware uses STM32F103CBT6 chips, light
Electric-type heart rate sensor, SMD temperature sensor, HC-05 bluetooth modules and OLED display module, realize heart rate, temperature data
Function, the overall hardware capability block diagrams such as collection, storage, display and Bluetooth transmission are as shown in Figure 1；It is tight during hardware circuit design
Lattice in accordance with intelligent and portable hardware small volume, it is low in energy consumption, be easy to carry about with one the characteristics of, by installing photo-electric heart rate sensor and paster
Formula temperature sensor, realize the measurement of the related basic measurement amount of user emotion；When user closely touches hardware acquisition module
Sensor component when, hardware acquisition module can record the real-time heart rate of user, shell temperature information, to collection result
Smothing filtering is carried out, removes frequency glitches signal and noise；Temperature signals are wherein directed to, by the way of smothing filtering, are removed
Frequency glitches, for heart rate signal, close value according to signal subsection average and noise criteria difference setting and remove noise, will be filtered
As a result it is stored in hardware acquisition module；Communicated and transmitted with binding mobile terminal in addition, hardware acquisition module has
The function of data, communicates based on Blue-tooth communication method, and hardware acquisition module is with mobile terminal by opening both sides' bluetooth mould
Block, certification link realize equipment association binding, and hardware acquisition module sends the real-time heart rate of storage, the timing of shell temperature information
To mobile terminal；
(2) social APP designs：The present embodiment devises a cross-platform, social chat based on Android development technique should
APP prototypes (Fig. 5), software architecture diagram is as shown in figure 3, concrete structure includes：It is hardware driving layer, operating system layer, soft
Part layer, expression layer and layer is realized, wherein expression layer includes message interface, buddy list, chat interface and sets interface, described to set
Putting interface has binding hardware acquisition module and selects the function of mood interactive mode；Realizing layer, there is network service, message to be in
Existing, mood interaction, data base administration, hardware connection and configuration management function, the mood interaction is by the result of mood sensing
By setting the interactive mode of interface setting to interact.Social APP possesses simple chat interaction function, while embedded SVM is more
Classification mood sensing algorithm, train to obtain disaggregated model by historical data, and carried out with intelligent acquisition hardware mobile terminal
Carry out tying up fixed sum data upload by bluetooth, monitor user's body temperature, heart rate information in real time and simultaneously carry out effective mood classification, by feelings
Thread sensing results are interacted in a manner of color change, vibration equipment.Social APP embeds mood sensing function, is realizing bluetooth
After binding, historical basis metrical information and the mood label for obtaining the corresponding device of remote server storage are (happy, tranquil, sad
Wound), using support vector cassification algorithm as mood sensing algorithm basis, correlation model parameters are obtained by training sample set and deposited
Storage is in software internal database, and software timing obtains binding hardware acquisition module measurement result, and binding model parameter is qualitative to tie up
Locking equipment user emotion simultaneously stores；Social APP has the interactive function of emotional information, and specific interaction realization is divided into two kinds of forms：
It is mobile whole if monitor that big ups and downs occur for chatting object's heart rate when chatting object's success bound device in social networking application
Signal is passed on the sustained vibration of vibrating motor short time in end；When chatting object's success bound device in social networking application, periodically obtain
Take mood sensing result, and shown in the ad-hoc location of chat interface with color, the present invention in red represents happiness, with
Blueness represents calmness, represents sadness with black, represents off-line state with grey, as shown in Figure 5；
(3) training sample set experimental design and realization：Training sample set is obtained by contrived experiment, and emotional state is simple
Happy, tranquil, sad three classes are defined as, and design corresponding scene successively, 10 pass students are participated in emotion physiological data and adopted
Collection, about one and a half hours per person's duration.Subject is first rested to tranquility, subsequently between test, one in test
The chair of table one, one is put for emotion to be presented and arouses the liquid crystal display of material and for the soft or hard of physiological signal data collection
Part equipment.LCDs plays the film for easily waking up specific emotional, obtains heart rate, temperature data and sticks fixed emotion
Label, training sample set is obtained, and training sample set corresponding to each mobile terminal is preserved into remote server；
(4) design of mood sensing algorithm and realization：Mood sensing algorithm is based on support vector cassification algorithm, specifically
Algorithm flow chart is as shown in Figure 4.Training sample set is obtained by contrived experiment in the present invention, mood sensing algorithm mobile terminal into
After work(binding hardware device, the support vector cassification for training to obtain by training sample set corresponding to server acquisition equipment is calculated
Method parameter simultaneously stores parameter.During opening social networking application and being chatted, hardware acquisition module gathers user data in real time
And mobile terminal is transmitted, mobile terminal is classified by the model parameter after combined training to user's current emotional states, is sentenced
Disconnected user is happy, tranquil or sad state, storage, refreshes emotional state and is simultaneously sent to corresponding chatting object.Mood sensing algorithm
After mobile terminal successfully binds hardware device, by server obtain equipment corresponding to training sample set train obtained support
Vector machine sorting algorithm parameter simultaneously stores parameter.During opening social networking application and being chatted, hardware acquisition module is real-time
Collection user data simultaneously transmits mobile terminal, and mobile terminal is by the model parameter after combined training to user's current emotional states
Classified, judge that user is happy, tranquil or sad state, storage, refreshed emotional state and be simultaneously sent to corresponding chatting object.
The preferred embodiment of the invention is the foregoing is only, is not intended to limit the invention creation, it is all at this
All any modification, equivalent and improvement made within the spirit and principle of innovation and creation etc., should be included in the invention
Protection domain within.
Claims (9)
- A kind of 1. internet social networking application system based on Internet of Things mood sensing technology, it is characterised in that including：Hardware acquisition module, the basic measurement amount related for measuring user emotion, and realized far by way of Bluetooth transmission Pass；Social APP, installation on mobile terminals, for realizing basic internet social functions, while can also be received, analyzed The data of hardware acquisition module measurement and the emotional change that user is characterized by specific interactive mode；Feelings are embedded in social APP Thread perception algorithm, using support vector cassification algorithm as core algorithm, the model parameter and reality training to obtain with reference to historical data When measurement data user's current emotional is classified, so as to realize mood sensing.
- 2. a kind of internet social networking application system based on Internet of Things mood sensing technology as described in claim 1, it is special Sign is, the hardware acquisition module, comprising photo-electric heart rate sensor and SMD temperature sensor, when user closely touches When touching sensor component, hardware acquisition module records the real-time heart rate of user, shell temperature information, and collection result is carried out Smothing filtering, frequency glitches signal and noise are removed, filtered result is stored in hardware acquisition module.
- 3. a kind of internet social networking application system based on Internet of Things mood sensing technology as described in claim 1, it is special Sign is, the hardware acquisition module has the function of being communicated and transmitted data with the mobile terminal of binding, communicate with Based on Blue-tooth communication method, hardware acquisition module with mobile terminal by opening bluetooth, certification realize that equipment associates binding, firmly Part acquisition module sends the real-time heart rate of storage, the timing of shell temperature information to mobile terminal.
- 4. a kind of internet social networking application system based on Internet of Things mood sensing technology as described in claim 1, it is special Sign is that the social APP concrete structures include：Hardware driving layer, operating system layer, software layer, expression layer and layer is realized, its Middle expression layer includes message interface, buddy list, chat interface and sets interface, and the setting interface has binding hardware collection Module and the function of selecting mood interactive mode；Realize layer have network service, message presentation, mood interaction, data base administration, Hardware connects and configuration management function, and mood interaction is by setting the interaction side of interface setting by the result of mood sensing Formula interacts.
- 5. a kind of internet social networking application system based on Internet of Things mood sensing technology as described in claim 1, it is special Sign is that the social APP obtains the historical basis of the corresponding mobile terminal of remote server storage after bluetooth binding is realized Metrical information and mood label (happy, tranquil, sad) are used as training sample set, using support vector cassification algorithm as mood sense Know algorithm basis, correlation model parameters are obtained by training sample set and are stored in social APP internal databases, social APP The measurement result of the hardware acquisition module of timing acquisition binding, binding model parameter acquiring bound device user emotion simultaneously store.
- 6. a kind of internet social networking application system based on Internet of Things mood sensing technology as described in claim 1, it is special Sign is that the social APP has the interactive function of emotional information, and specific interaction realization is divided into two kinds of forms：When in social APP During chatting object's success bound device, if monitor that big ups and downs occur for chatting object's heart rate, mobile terminal is with vibrating motor Signal is passed in short time sustained vibration；When chatting object's success bound device in social APP, timing acquisition mood sensing knot Fruit, and being shown in the ad-hoc location of chat interface with color, can be represented with red it is happy, represented with blueness calmness, with Black represents sadness, represents off-line state with grey.
- 7. a kind of internet social networking application system based on Internet of Things mood sensing technology as described in claim 1, it is special Sign is that the mood sensing algorithm realizes mood sensing based on SVMs multi-classification algorithm, SVMs Model is defined in the linear classifier of the interval maximum on feature space, can be converted into one and solve asking for convex quadratic programming Topic, classification results are obtained by solving-optimizing problem；In the training process, as long as ensureing classification results and actual value y one Within individual scope ε, acceptable is taken as, the optimization problem expression formula is as follows：<mrow> <mi>m</mi> <mi>i</mi> <mi>n</mi> <mfrac> <mn>1</mn> <mn>2</mn> </mfrac> <mo>|</mo> <mo>|</mo> <mi>w</mi> <mo>|</mo> <msup> <mo>|</mo> <mn>2</mn> </msup> </mrow>This method passes through Nonlinear MappingThe training sample of lower dimensional space is mapped to higher dimensional space F, it is then empty in higher-dimension Between in classified by linear classifier, wherein w represent weight vectors, wTFor its transposed vector, b represents linear threshold ginseng Number, relevant parameter are obtained by introducing training set.
- 8. a kind of internet social networking application system based on Internet of Things mood sensing technology as described in claim 1, it is special Sign is that training sample set is obtained by contrived experiment in the mood sensing algorithm：By emotional state be defined as it is happy, tranquil, Sad three classes, and corresponding scene is designed successively, trainer uses hardware acquisition module under special scenes, bound by bluetooth Mobile terminal, corresponding data is gathered, trainer first rests to tranquility, and everyone continues half an hour per scene, obtains heart rate, body Warm data simultaneously stick fixed affective tag, obtain training sample set；Training sample set corresponding to each mobile terminal is preserved to remote In journey server.
- 9. a kind of internet social networking application system based on Internet of Things mood sensing technology as described in claim 1, it is special Sign is that mobile terminal obtains training sample corresponding to equipment after successfully hardware acquisition module is bound, by server and assembled for training The support vector cassification algorithm parameter that gets simultaneously stores parameter；During opening social APP and being chatted, hardware is adopted Collection module gathers user data and is sent to mobile terminal in real time, and mobile terminal is by the model parameter after combined training to user Current emotional states are classified, and judge that user is happy, tranquil or sad state, storage, are refreshed emotional state and are sent to pair Answer chatting object.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710488422.1A CN107464188A (en) | 2017-06-23 | 2017-06-23 | A kind of internet social networking application system based on Internet of Things mood sensing technology |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710488422.1A CN107464188A (en) | 2017-06-23 | 2017-06-23 | A kind of internet social networking application system based on Internet of Things mood sensing technology |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN107464188A true CN107464188A (en) | 2017-12-12 |
Family
ID=60546405
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710488422.1A Pending CN107464188A (en) | 2017-06-23 | 2017-06-23 | A kind of internet social networking application system based on Internet of Things mood sensing technology |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN107464188A (en) |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108209946A (en) * | 2018-02-02 | 2018-06-29 | 贺鹏程 | A kind of emotion control apparatus and method |
| CN109462542A (en) * | 2018-10-21 | 2019-03-12 | 海南大学 | The emotion means of communication based on color |
| CN109471930A (en) * | 2018-11-08 | 2019-03-15 | 浙江大学城市学院 | A kind of mood board interface design method of user oriented emotion |
| CN110090029A (en) * | 2018-01-28 | 2019-08-06 | 北京师范大学 | Emotional measurement system, Intelligent bracelet and portable terminal |
| CN110111874A (en) * | 2019-04-18 | 2019-08-09 | 上海图菱新能源科技有限公司 | Artificial intelligence Emotion identification management migrates interactive process and method |
| CN112950398A (en) * | 2021-03-04 | 2021-06-11 | 深圳技术大学 | Online social contact method and device based on emotion recognition and storage medium |
| CN114129162A (en) * | 2021-09-26 | 2022-03-04 | 中国农业银行股份有限公司重庆市分行 | Anti-fraud auxiliary system and method based on Internet of things |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103369303A (en) * | 2013-06-24 | 2013-10-23 | 深圳市宇恒互动科技开发有限公司 | Motion behavior analysis recording and reproducing system and method |
| CN104732203A (en) * | 2015-03-05 | 2015-06-24 | 中国科学院软件研究所 | Emotion recognizing and tracking method based on video information |
| CN104932459A (en) * | 2015-04-29 | 2015-09-23 | 海南大学 | Multifunctional pet management and monitoring system based on Internet of Things |
| CN105447526A (en) * | 2015-12-15 | 2016-03-30 | 国网智能电网研究院 | Support vector machine based power grid big data privacy protection classification mining method |
| CN106096557A (en) * | 2016-06-15 | 2016-11-09 | 浙江大学 | A kind of semi-supervised learning facial expression recognizing method based on fuzzy training sample |
-
2017
- 2017-06-23 CN CN201710488422.1A patent/CN107464188A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103369303A (en) * | 2013-06-24 | 2013-10-23 | 深圳市宇恒互动科技开发有限公司 | Motion behavior analysis recording and reproducing system and method |
| CN104732203A (en) * | 2015-03-05 | 2015-06-24 | 中国科学院软件研究所 | Emotion recognizing and tracking method based on video information |
| CN104932459A (en) * | 2015-04-29 | 2015-09-23 | 海南大学 | Multifunctional pet management and monitoring system based on Internet of Things |
| CN105447526A (en) * | 2015-12-15 | 2016-03-30 | 国网智能电网研究院 | Support vector machine based power grid big data privacy protection classification mining method |
| CN106096557A (en) * | 2016-06-15 | 2016-11-09 | 浙江大学 | A kind of semi-supervised learning facial expression recognizing method based on fuzzy training sample |
Non-Patent Citations (1)
| Title |
|---|
| 何成: "基于多生理信号的情绪识别方法研究", 《中国优秀硕士学位论文全文数据库-信息科技辑》 * |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110090029A (en) * | 2018-01-28 | 2019-08-06 | 北京师范大学 | Emotional measurement system, Intelligent bracelet and portable terminal |
| CN108209946A (en) * | 2018-02-02 | 2018-06-29 | 贺鹏程 | A kind of emotion control apparatus and method |
| CN109462542A (en) * | 2018-10-21 | 2019-03-12 | 海南大学 | The emotion means of communication based on color |
| CN109471930A (en) * | 2018-11-08 | 2019-03-15 | 浙江大学城市学院 | A kind of mood board interface design method of user oriented emotion |
| CN109471930B (en) * | 2018-11-08 | 2021-09-14 | 浙江大学城市学院 | Emotional board interface design method for user emotion |
| CN110111874A (en) * | 2019-04-18 | 2019-08-09 | 上海图菱新能源科技有限公司 | Artificial intelligence Emotion identification management migrates interactive process and method |
| CN112950398A (en) * | 2021-03-04 | 2021-06-11 | 深圳技术大学 | Online social contact method and device based on emotion recognition and storage medium |
| CN114129162A (en) * | 2021-09-26 | 2022-03-04 | 中国农业银行股份有限公司重庆市分行 | Anti-fraud auxiliary system and method based on Internet of things |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107464188A (en) | A kind of internet social networking application system based on Internet of Things mood sensing technology | |
| Vaizman et al. | Extrasensory app: Data collection in-the-wild with rich user interface to self-report behavior | |
| CN109636688A (en) | A kind of students ' behavior analysis system based on big data | |
| CN103699547B (en) | A kind of application program recommended method and terminal | |
| CN101414455B (en) | Information providing system, equipment and method, terminal apparatus and display method | |
| CN108009954B (en) | Teaching plan making method, device and system and electronic equipment | |
| CN107707763A (en) | Near-sighted prevention and control wearable device and near-sighted prevention and control system and method | |
| CN110249359A (en) | Geography fence assessment system | |
| US20170042439A1 (en) | System, device and methods for brainwave-based technologies | |
| CN109522815A (en) | A kind of focus appraisal procedure, device and electronic equipment | |
| Chung et al. | Real‐world multimodal lifelog dataset for human behavior study | |
| CN108536099A (en) | A kind of information processing method, device and mobile terminal | |
| CN104769645A (en) | Virtual companion | |
| CN110013261A (en) | Method, apparatus, electronic equipment and the storage medium of mood monitoring | |
| CN105046477A (en) | Intelligent portable apparatus for recording and managing daily life | |
| CN111309098B (en) | Method for judging read-write state based on sensor | |
| CN106779614A (en) | Study monitoring method, device and wearable device for wearable device | |
| CN207181987U (en) | A kind of virtual artificial intelligence companion | |
| CN104573138A (en) | Behavior data collection method of internet of things and mobile intelligent terminal | |
| Songsom et al. | The synthesis of the student relationship management system using the internet of things to collect the digital footprint for higher education institutions. | |
| CN109949935A (en) | A kind of personalized terminal service campus health platform based on artificial intelligence | |
| CN104463150A (en) | Device and method for inquiring number of students in self-study room and distribution of occupied seats currently in real time | |
| CN110223540A (en) | A kind of learning robot information interaction learning method and system and storage medium | |
| CN106339456A (en) | Push method based on data mining | |
| CN109769213A (en) | Method, mobile terminal and the computer storage medium of user behavior track record |
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: 20171212 |
|
| RJ01 | Rejection of invention patent application after publication |