TWM668685U - Couple Compatibility Prediction System - Google Patents

Abstract

A couple adaptation prediction system includes a data collection module, a data pre-processing module, a cloud server and an operating device. The data collection module collects and outputs a physiological data and a recording file through a sensor and a sound receiving device. The data pre-processing module includes a wireless transmission unit and a microcontroller. The wireless transmission unit receives data and transmits it to the microcontroller. The microcontroller pre-processes and summarizes the data into data, and the cloud server analyzes the data through a fitness calculation model and outputs an analysis result predicting the development of the relationship. Multi-dimensional analysis is performed to improve the accuracy of adaptation. The analysis result is then presented to the user through the application of the operating device and suggestions for improvement are made, so as to help both parties maintain a good relationship.

Description

Couple Compatibility Prediction System

This work is related to relationship prediction systems, in particular, a couple fit prediction system.

In the age of the Internet, people often use dating software to find suitable dating partners. The matching systems of current dating software on the market mainly match users based on their basic physiological data, personal background, hobbies and dating requirements, and recommend other users with relatively high matching degrees for users to browse and screen.

However, the matching conditions set by such dating software are simple and cannot really provide effective matching predictions. After matching, users need to spend a lot of time to get along with each other to judge whether the other party is a suitable match. In addition, the dating software on the market does not have the function of predicting the development trend of the relationship. Users cannot predict the conflicts that may exist due to differences in personality, values, living habits, etc., and they cannot get suggestions for improvement, which leads to conflicts in the actual process of getting along, causing the relationship to deteriorate or even end.

In view of this, how to solve the above problems is the primary issue that this creation wants to solve.

The main purpose of this creation is to provide a couple adaptation prediction system. The data collection module collects the physiological data, conversation content, etc. of male and female users. After being aggregated by the data pre-processing module, it is analyzed by the cloud server to predict the development trend of the relationship between the two people and provide improvement suggestions. Users can adjust the two people's interaction mode in time according to the relationship development trend and improvement suggestions to maintain a good relationship.

To achieve the above objectives, this invention provides a couple adaptation prediction system, which includes:

A data collection module includes a human body sensor for sensing and recording physiological changes of the man and woman and outputting physiological data; and a sound receiving device for recording the conversation between the man and woman and outputting a recording file;

A data pre-processing module includes a wireless transmission unit and a microcontroller. The wireless transmission unit is electrically connected to the microcontroller. The wireless transmission unit receives the physiological data and the recording file and transmits them to the microcontroller. The microcontroller extracts features from the conversation content of the physiological data and the recording file and summarizes them into data.

A cloud server receives the data uploaded by the wireless transmission unit, analyzes the data by using a fitness calculation model, predicts the development trend of the relationship between the two persons and outputs an analysis result;

An operating device has a built-in application, which receives the analysis result from the cloud server via the wireless transmission unit, presents the content of the analysis result to the user, and provides improvement suggestions.

Preferably, the data collection module further includes an environmental sensor, and the environmental data measured by the environmental sensor can be transmitted to the microcontroller, and the environmental data is transmitted to the fitness calculation model through the wireless transmission unit for combined calculation analysis by the fitness calculation model.

Furthermore, the environmental data includes room temperature, humidity and light intensity.

Preferably, the user inputs a psychological data through the application, which is transmitted to the cloud server via the wireless transmission unit for calculation and analysis by the fitness calculation model.

Furthermore, the psychological data is a mood diary or a relationship satisfaction score.

Preferably, the operating device has a camera that can capture the surrounding environment and transmit the image to the microcontroller through the wireless transmission unit for analysis of changes in the surrounding environment, and output an environmental change result to the cloud server for analysis by the fitness calculation model.

Furthermore, the operating device has a face recognition module for identifying changes in facial expressions captured by the camera, outputting the changes to the facial expressions via the wireless transmission unit to the microcontroller for expression analysis, and outputting expression data to the microcontroller for analysis by the adaptation calculation model.

Furthermore, the operating device has a behavior analysis module for identifying human body movements, and outputs a behavior data to the microcontroller through the wireless transmission unit. The microcontroller extracts features from the behavior data and converts it into an interactive mode, which is then used for calculation and analysis by the adaptation calculation model.

Preferably, the user can input dispute data through the application of the operating device, and the dispute data includes dispute frequency, dispute cause, dispute duration, post-dispute settlement time and dispute method, which is output to the microcontroller through the wireless transmission unit and provided for calculation and analysis by the adaptability calculation model.

Preferably, the user can input a value data through the application, and the value data includes the value importance ranking, the value consistency and the value management conflict frequency, which is output to the microcontroller through the wireless transmission unit and provided for the fitness calculation model to calculate and analyze.

The above-mentioned purposes and advantages of the present invention can be easily understood from the detailed description and accompanying drawings of the following selected embodiments.

As shown in FIG. 1 , a couple adaptation prediction system provided by a preferred embodiment of the present invention includes a data collection module 1, a data preprocessing module 2, a cloud server 3 and an operating device 4.

The data collection module 1 includes a human sensor 11 and a sound receiving device 12. The human sensor 11 is used to record the physiological changes of both men and women and output physiological data. The physiological data includes heart rate, body temperature, breathing rate, etc. The sound receiving device 12 can be a microphone, which is used to record the conversation between men and women and output a recording file. Furthermore, the data collection module 1 also includes an environmental sensor 13, and the environmental data measured by the environmental sensor 13 includes room temperature, humidity and light intensity. Among them, the data collection module 1 can be installed on a wearable device, such as a smart watch, a smart ring, etc.; or a portable mobile device, such as a mobile phone, a tablet computer, etc.; or a smart home device.

As mentioned above, the data pre-processing module 2 includes a wireless transmission unit 21 and a microcontroller 22, and the microcontroller 22 is electrically connected to the wireless transmission unit 21. The wireless transmission unit 21 receives the physiological data, recording files and environmental data output by the data collection module 1, and transmits them to the microcontroller 22, and the microcontroller 22 extracts features from the above data and summarizes them into a data. The wireless transmission unit 21 uploads the data to the cloud server 3. The wireless transmission method is Bluetooth transmission, WIFI transmission, infrared transmission, etc., which is not limited in the present invention.

To further explain, the operating device 4 has a built-in application 41, and the application 41 uploads or receives data through the wireless transmission unit 21. The operating device 4 has a camera 42. The camera 42 can take pictures of the surrounding environment, and transmit the pictures to the microcontroller 22 through the wireless transmission unit 21 for analyzing the changes of the surrounding environment, and output an environmental change result.

The operating device 4 further has a face recognition module 43 and a behavior analysis module 44. The face recognition module 43 is used to recognize the facial expression changes of the person photographed by the camera lens, and outputs a facial expression data to the microcontroller 22 through the wireless transmission unit 21 for facial expression analysis, and outputs a facial expression data. The behavior analysis module 44 recognizes the body movements of the person photographed by the camera lens 42, and transmits a behavioral data to the microcontroller 22 through the wireless transmission unit 21. The microcontroller 22 extracts features from the behavioral data and converts it into an interactive mode.

In addition, the user can also input psychological data through the application 41 of the operating device 4. The psychological data is an emotional diary, such as current emotions, the time points and reasons for emotional changes, so as to understand the emotional changes of both parties; or to rate the relationship satisfaction based on the relationship status, relationship investment level and stress level of the relationship.

The user can also input dispute data through the application 41 of the operating device 4, and the dispute data includes dispute frequency, such as the number of disputes per week or month; the cause of the dispute, such as trivial matters in life, differences in values, personality conflicts, etc.; the duration of the dispute, that is, the average length of each dispute; the reconciliation time after the dispute, that is, the time required to resume normal interaction after each dispute; and the way of dispute, such as cold war, quarrel, cold violence, etc.

In the daily interaction, the user can input a value data through the application 41 of the operating device 4 according to the values displayed by himself and the other party. The value data includes the ranking of value importance, such as the ranking of the importance of values such as family, career, friendship, and personal growth; the consistency of values, that is, the similarity of the two parties in various values; the frequency of value conflicts, that is, the frequency of conflicts caused by differences in values between the two parties. The above psychological data, dispute data, and value data are all transmitted to the microcontroller through the wireless transmission unit, and after feature extraction and analysis by the microcontroller, they are summarized into an emotional data.

To further explain, the cloud server 3 has several databases 32 for storing large amounts of data and information. The above data, emotional data, expression data and behavioral data are then transmitted to the cloud server 3 via the wireless transmission unit 21 and stored in the database 32. The cloud server 3 has a fitness calculation model 31. Among them, the fitness calculation model 31 mainly includes a classification model, a regression model and a deep learning model. The classification model is used to determine whether the couple is suitable, and logical regression, support vector machine, random forest, XGBoost, etc. can be used. The regression model is used to predict the duration of the relationship or satisfaction, and linear regression, decision tree regression, etc. can be used. The deep learning model is used to process complex nonlinear relationships, and neural networks, recurrent neural networks, etc. can be used. The fitness calculation model selects a suitable model for analyzing 32 pairs of data and information, predicts the trend of the relationship between the two people, and outputs an analysis result.

Specifically, the cloud server 3 also trains the fitness calculation model 31 and labels the collected data, that is, labels which couples are suitable and which couples are not suitable. Then, the selected model is trained with the labeled data, and the trained model is evaluated based on indicators such as accuracy, recall rate, and F1 value to see whether it meets the prediction analysis requirements. If it meets the requirements, it is stored in the database for subsequent predictions.

Finally, the user receives the analysis result from the cloud server 3 via the wireless transmission unit 21 through the application 41 of the operating device 4, and presents the content of the analysis result to the user through the operating interface, so that the user can understand in advance the compatibility between the two people and possible problems in getting along with each other, such as differences in living habits, differences in values, emotional management, etc., and provide improvement suggestions to reduce the probability of conflicts between the two people, maintain a good and healthy relationship interaction, and enhance relationship intimacy and satisfaction.

In summary, the couple compatibility prediction system provided by this invention collects environmental data, physiological data, psychological data and interaction data of both parties to extract features and analyze them, and then analyzes the compatibility of both parties in multiple dimensions to effectively improve the accuracy of the pairing analysis. The cloud server also provides personalized opinions and suggestions based on the analysis results to help users maintain the intimacy and satisfaction of the relationship, so as to establish a healthy and sustainable partner relationship.

However, the disclosure of the above embodiments is only used to illustrate the present invention, not to limit the present invention, so any change in numerical values or replacement of equivalent components should still fall within the scope of the present invention.

In summary, those who are familiar with this technology should be able to understand that this creation can indeed achieve the above-mentioned purpose and actually complies with the provisions of the Patent Law, so they can apply for it in accordance with the law.

1: Data collection module 11: Human body sensor 12: Radio receiver 13: Environmental sensor 2: Data pre-processing module 21: Wireless transmission unit 22: Microcontroller 3: Cloud server 31: Fitness calculation model 32: Database 4: Operation device 41: Application 42: Camera 43: Facial recognition module 44: Behavior analysis module

Figure 1 is a schematic diagram of the system architecture of this creation.

1: Data collection module

11: Human body sensor

12: Radio device

13: Environmental sensor

2: Data preprocessing module

21: Wireless transmission unit

22: Microcontroller

3: Cloud Server

31:Fitness calculation model

32: Database

4: Operating device

41: Applications

42: Camera lens

43: Face recognition module

44:Behavior Analysis Module

Claims (10)

A couple adaptation prediction system includes: A data collection module, including a human body sensor, used to sense and record the physiological changes of both men and women, and output a physiological data; and a sound receiving device, used to record the conversation content of the man and woman, and output a recording file; A data pre-processing module, including a wireless transmission unit and a microcontroller, the wireless transmission unit is electrically connected to the microcontroller, the wireless transmission unit receives the physiological data and the recording file and transmits them to the microcontroller, the microcontroller extracts features from the physiological data and the conversation content of the recording file, and summarizes them into a data; A cloud server receives the data uploaded by the wireless transmission unit, analyzes the data by using a fitness calculation model, predicts the development trend of the relationship between the two people and outputs an analysis result; An operating device has an application built in, which receives the analysis result from the cloud server via the wireless transmission unit, presents the content of the analysis result to the user, and provides improvement suggestions. The couple adaptation prediction system as described in claim 1, wherein the data collection module further includes an environmental sensor, and the environmental data measured by the environmental sensor can be transmitted to the microcontroller, and the environmental data is transmitted to the fitness calculation model through the wireless transmission unit for the fitness calculation model to combine with the calculation analysis. A couple adaptation prediction system as described in claim 2, wherein the environmental data includes room temperature, humidity and light intensity. A couple compatibility prediction system as described in claim 1, wherein the user inputs a psychological data through the application, which is transmitted to the cloud server via the wireless transmission unit for calculation and analysis by the compatibility calculation model. A couple compatibility prediction system as described in claim 4, wherein the psychological data is an emotional diary or a relationship satisfaction score. A couple adaptation prediction system as described in claim 1, wherein the operating device has a camera that can capture the surrounding environment and transmit the image to the microcontroller via a wireless transmission unit for analysis of changes in the surrounding environment, and output an environmental change result to the cloud server for analysis by the adaptation calculation model. As described in claim 6, the couple adaptation prediction system, wherein the operating device further has a face recognition module for identifying changes in facial expressions captured by the camera lens, outputting the changes to the facial expressions via the wireless transmission unit to the microcontroller for expression analysis, and outputting expression data to the microcontroller for analysis by the adaptation calculation model. A couple adaptation prediction system as described in claim 6, wherein the operating device further has a behavior analysis module for identifying human body movements, outputting a behavior data to the microcontroller via the wireless transmission unit, and the microcontroller extracts features from the behavior data and converts it into an interactive mode, which is then used for calculation and analysis by the adaptation calculation model. A couple adaptation prediction system as described in claim 1, wherein a user can input dispute data through an application of an operating device, wherein the dispute data includes dispute frequency, cause of dispute, duration of dispute, time of post-dispute settlement and method of dispute, and the data is output to the microcontroller through the wireless transmission unit and provided for calculation and analysis by the adaptation calculation model. A couple adaptation prediction system as described in claim 1, wherein a user can input a value data through an application, wherein the value data includes a value importance ranking, a value consistency, and a value management conflict frequency, and the value data is output to the microcontroller through the wireless transmission unit and provided for calculation and analysis by the adaptation calculation model.

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