Correction type technique supervision and analysis system

Abstract

The invention discloses a correction type technique supervision and analysis system, and the key points of the technical scheme are that the system comprises the following steps: data collection and preprocessing, mode recognition and modeling, anomaly detection and evaluation, correction and feedback mechanism, personalized recommendation and service optimization, and visualization and reporting. Comprehensive optimization and fine management of the whole massage service process can be realized through the modified form manipulation supervision and analysis system, and the system identifies and predicts customer demands and potential abnormal conditions by utilizing an intelligent algorithm through accurately collecting and processing physiological and psychological data and massage manipulation information of customers. Improper techniques or risk behaviors are found and corrected in time, a personalized recommendation mechanism automatically adjusts a massage scheme according to health conditions and preferences of customers, and through a clear visual interface and a real-time report, the service quality and customer satisfaction are improved, and intelligentization, personalization and high efficiency of massage services are achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of repair techniques, and in particular to a correction type technique monitoring and analysis system. Background Art

[0002] With the advancement of digitalization, data has become an important resource for all walks of life. In the field of massage, through in-depth analysis of customers' historical data, massage techniques, customer feedback, and physiological data, we can provide more accurate services and recommend the most suitable massage techniques and plans in a personalized manner.

[0003] As people's health awareness improves, the massage industry has gradually received more attention; however, due to the diversity of massage techniques and the complexity of operating technologies, traditional regulatory methods are often difficult to fully and effectively guarantee service quality and customer safety. Summary of the invention

[0004] In view of the deficiencies of the prior art, the present invention provides a modified pattern technique supervision and analysis system to solve the problems mentioned in the background technology.

[0005] The above technical objectives of the present invention are achieved through the following technical solutions:

[0006] A correction pattern method supervision and analysis system includes the following steps: data collection and preprocessing, pattern recognition and modeling, anomaly detection and evaluation, correction and feedback mechanism, personalized recommendation and service optimization, visualization and reporting; the data collection and preprocessing includes the following steps, S1: data collection;

[0007] S1.1: Collect the massage therapist's technique data, including hand movements, strength, and rhythm, through sensors or smart massage equipment (such as massage beds, gloves, sensor belts, etc.);

[0008] S1.2: Collect real-time feedback from customers through questionnaires and smart devices (such as voice assistants and feedback buttons on massage chairs), including pain, relaxation, and satisfaction;

[0009] S1.3: Use wearable devices (such as smart bracelets, heart rate monitors, etc.) to monitor the customer’s physiological data in real time, such as heart rate, galvanic skin response, muscle tension, etc., to evaluate the massage effect.

[0010] S2: data preprocessing;

[0011] S2.1: Remove noisy data and correct errors in sensor readings;

[0012] S2.2: Convert data into a format that is easy to analyze and facilitate subsequent processing.

[0013] Preferably, the pattern recognition and modeling comprises the following steps, S3: technique analysis;

[0014] S3.1: The system uses machine learning and computer vision technology to analyze the massage therapist's techniques, including the trajectory, speed, strength, frequency, etc. of hand movements, to identify whether the massage techniques meet the standards;

[0015] S3.2: Based on customer feedback, determine whether the massage technique has achieved the desired effect, whether there is excessive or insufficient force, and whether it causes discomfort to the customer.

[0016] S4: Modeling of physiological responses;

[0017] S4.1: Establish a model of the customer's physiological response to different massage techniques by analyzing the changes in the customer's physiological data during the massage process (such as heart rate fluctuations, skin temperature, etc.);

[0018] S4.2: Optimize the intensity and frequency of massage based on the individual needs of the customer (e.g. preference for gentle or vigorous massage);

[0019] S4.3: Use technologies such as facial expression recognition and voice analysis to determine the customer’s emotional state, such as whether the customer is nervous, anxious, or relaxed.

[0020] Preferably, the abnormality detection and evaluation comprises the following steps, S5: massage abnormality detection;

[0021] S5.1: Identify massage anomalies that may cause discomfort or injury to the customer by detecting the massage therapist's techniques and the customer's real-time physiological responses; for example, excessive force and frequent changes in massage techniques are detected;

[0022] S5.2: The system can also monitor the customer's pain feedback data during the massage process to detect abnormal conditions such as pain lasting too long.

[0023] S6: Safety assessment;

[0024] S6.1: Based on the customer's health condition (such as the elderly, pregnant women, patients with chronic diseases, etc.) and the massage technique, evaluate in real time whether the technique is suitable for specific customers to avoid health risks caused by improper massage.

[0025] Preferably, the correction and feedback mechanism comprises the following steps, S7: automatic correction technique;

[0026] S7.1: For massage techniques that are not in compliance with the regulations or are abnormal, the system can adjust the strength, rhythm and other parameters of the massage equipment through intelligent feedback. For example, if the massage chair is too strong, the system can automatically reduce the strength or switch to a soothing mode.

[0027] S8: Manual intervention and guidance;

[0028] S8.1: The system can provide real-time operation guidance and feedback to masseurs. For example, if the system detects that the masseur's technique is not standard, it can remind the masseur to adjust the technique to avoid causing discomfort to the customer due to incorrect massage methods.

[0029] Preferably, the personalized recommendation and service optimization comprises the following steps, S9: personalized massage plan;

[0030] S9.1: The system generates a personalized massage plan based on the customer's physical condition (such as muscle tension, fatigue level, etc.) and past massage experience; analyzes customer historical feedback through machine learning to optimize the technique and intensity of each massage.

[0031] S10: Massage technique library;

[0032] S10.1: The system establishes a massage technique database, including common massage types (such as relaxation, stress relief, therapeutic massage, etc.), and recommends the most appropriate massage type based on customer feedback and effect evaluation.

[0033] Preferably, the visualization and reporting comprises the following steps, S11: data visualization;

[0034] S11.1: The system can present the changes of various data of customers during the massage process through a visual interface, such as physiological data, pain score, satisfaction, etc.;

[0035] S11.2: Both masseurs and customers can view their massage history and effect evaluation to help both parties better understand the effectiveness of the massage service.

[0036] S12: Periodic report generation;

[0037] S12.1: The system can generate regular massage health reports for customers, evaluate massage effects and body changes, provide health advice to customers, and improve long-term customer satisfaction and loyalty.

[0038] In summary, the present invention mainly has the following beneficial effects:

[0039] Through a modified form technique supervision and analysis system, the modified form technique supervision and analysis system can realize intelligent management of the massage process. The system can accurately collect and process the customer's physiological data and massage techniques, identify effective massage patterns through machine learning algorithms, and monitor abnormal situations in real time, such as excessive force or improper techniques, and provide timely correction suggestions; the personalized recommendation mechanism dynamically adjusts the massage plan according to the customer's needs and health status to optimize the service effect. The visual interface and reporting function enable masseurs and customers to clearly understand the key data in the massage process, improve the overall service quality, and ensure the comfort and safety of customers. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Figure 1 It is a schematic diagram of the system flow of the present invention. DETAILED DESCRIPTION

[0041] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0042] refer to Figure 1 , a correction type technique supervision and analysis system, including the following steps: data collection and preprocessing, pattern recognition and modeling, anomaly detection and evaluation, correction and feedback mechanism, personalized recommendation and service optimization, visualization and reporting, the data collection and preprocessing includes the following steps, S1: data collection; S1.1: collect masseur's technique data through sensors or smart massage equipment (such as massage beds, gloves, sensor belts, etc.), including hand movements, strength, and rhythm; S1.2: collect customers' real-time feedback through questionnaires and smart devices (such as voice assistants, feedback buttons on massage chairs), including pain, relaxation, and satisfaction; S1.3: use wearable devices (such as smart bracelets, heart rate monitors, etc.) to monitor customers' physiological data in real time, such as heart rate, skin galvanic response, muscle tension, etc., to evaluate the massage effect.

[0043] S2: Data preprocessing; S2.1: Remove noise data and correct errors in sensor readings; S2.2: Convert data into a format that is easy to analyze and facilitate subsequent processing;

[0044] By setting up data collection and preprocessing, the system can accurately collect the massage therapist's technique data, the customer's real-time feedback, and the customer's physiological data, such as heart rate, muscle tension, etc., which provides comprehensive basic information for subsequent analysis. By removing noise data and correcting sensor errors, the accuracy and reliability of the data are ensured, and the collected data is converted into a standardized format for further analysis and processing. These precise, cleaned data provide support for pattern recognition, anomaly detection, and personalized recommendations, thereby optimizing the massage process, improving service quality, and ensuring that customers get the best comfort experience and health effects.

[0045] As a further solution of the present invention, the pattern recognition and modeling includes the following steps: S3: Technique analysis; S3.1: The system uses machine learning and computer vision technology to analyze the masseur's techniques, including the trajectory, speed, strength, frequency, etc. of the hand movements, to identify whether the massage techniques meet the standards; S3.2: Combined with customer feedback, determine whether the massage techniques have achieved the expected results, whether there is excessive or insufficient strength, and whether it causes discomfort to the customer. S4: Physiological response modeling; S4.1: By analyzing the changes in the customer's physiological data during the massage process (such as heart rate fluctuations, skin temperature, etc.), establish a customer's physiological response model to different massage techniques; S4.2: Optimize the intensity and frequency of the technique based on the customer's personalized needs (for example, preference for gentle or strong massage); S4.3: Use facial expression recognition, voice analysis and other technologies to determine the customer's emotional state, such as whether the customer feels nervous, anxious or relaxed;

[0046] By setting up pattern recognition and modeling, the system can accurately analyze the masseur's techniques to ensure that they meet the standards, and adjust the intensity and frequency in real time based on customer feedback to avoid excessive or insufficient situations, thereby optimizing the customer experience. In addition, through physiological data modeling, the system can automatically adjust the intensity and frequency of massage according to the customer's personalized needs to ensure optimal comfort and efficacy. At the same time, with the help of emotion recognition technology, the system can perceive the customer's emotional changes in real time, further adjust the techniques to relieve the customer's tension or anxiety, and achieve more personalized and efficient services, thereby improving the overall massage effect and customer satisfaction.

[0047] As a further solution of the present invention, the abnormality detection and evaluation includes the following steps: S5: Massage abnormality detection; S5.1: By detecting the masseur's techniques and the customer's real-time physiological reactions, massage abnormalities that may cause discomfort or injury to the customer are identified; for example, excessive force and frequent changes in massage techniques are detected; S5.2: The system can also monitor the customer's pain feedback data during the massage process to find out whether there are abnormal conditions such as pain lasting too long. S6: Safety assessment; S6.1: Combined with the customer's health status (such as the elderly, pregnant women, patients with chronic diseases, etc.) and massage techniques, real-time evaluation is made to determine whether the technique is suitable for a specific customer to avoid health risks caused by improper massage;

[0048] By setting up abnormal detection and evaluation, the system can effectively monitor potential risks during the massage process to ensure the safety and comfort of customers. By real-time detection of the masseur's techniques and the customer's physiological reactions, the system can identify abnormal situations that may cause discomfort or injury, such as excessive force or frequent changes in massage techniques, and promptly alert the masseur to make adjustments. In addition, the system can also monitor the customer's pain feedback and detect abnormal situations such as pain lasting too long to avoid further aggravating the discomfort. In terms of safety assessment, the system combines the customer's health status (such as the elderly, pregnant women, patients with chronic diseases, etc.) with the massage technique to evaluate its applicability in real time to prevent health risks caused by improper techniques.

[0049] As a further solution of the present invention, the correction and feedback mechanism includes the following steps: S7: Automatic correction of techniques; S7.1: For massage techniques that are detected to be non-compliant or abnormal, the system can adjust the strength, rhythm and other parameters of the massage equipment through intelligent feedback. For example, if the strength of the massage chair is too strong, the system can automatically reduce the strength or switch to a soothing mode. S8: Manual intervention and guidance; S8.1: The system can provide real-time operation guidance and feedback to masseurs. For example, when it is detected that the masseur's technique is not standardized, the system can remind the masseur to adjust the technique to avoid causing discomfort to customers due to incorrect massage methods. ;

[0050] By setting up a correction and feedback mechanism, the system can automatically adjust the strength, rhythm and other parameters of the massage equipment when non-compliant or abnormal massage techniques are detected, ensuring that the massage process is more comfortable and safe. For example, when the massage chair is detected to be too strong, the system will automatically reduce the strength or switch to soothing mode to avoid discomfort to the customer. At the same time, the system can also provide real-time operation guidance for masseurs, reminding them to adjust their techniques in time to avoid discomfort or injury to customers due to improper operation. Through the combination of automatic correction and manual intervention, the system ensures the accuracy, safety and personalization of the massage process, thereby improving customer experience and service quality.

[0051] As a further solution of the present invention, the personalized recommendation and service optimization includes the following steps: S9: Personalized massage plan; S9.1: The system generates a personalized massage plan based on the customer's physical condition (such as muscle tension, fatigue level, etc.) and past massage experience; and optimizes the technique and intensity of each massage by analyzing the customer's historical feedback through machine learning. S10: Massage technique library; S10.1: The system establishes a massage technique database, including common massage types (such as relaxation, stress relief, therapeutic massage, etc.), and recommends the most suitable massage type based on customer feedback and effect evaluation;

[0052] By setting up personalized recommendations and service optimization, the most suitable massage experience can be tailored for each customer. First, the system generates a personalized massage plan based on the customer's physical condition (such as muscle tension, fatigue level, etc.) and historical massage feedback to ensure that the technique and intensity of each massage can be optimized according to the customer's needs. By analyzing the customer's past feedback through machine learning technology, the system can continuously adjust and improve each service to improve customer satisfaction and massage effect. In addition, the system has established a comprehensive massage technique library, covering various common massage types (such as relaxation, stress relief, therapeutic massage, etc.), and recommends the most suitable massage type based on customer feedback and effect evaluation, further improving the accuracy and effectiveness of the service, and ensuring that every customer can get a tailored best experience.

[0053] As a further solution of the present invention, the visualization and reporting includes the following steps: S11: Data visualization; S11.1: The system can present the changes of various data of the customer during the massage process, such as physiological data, pain score, satisfaction, etc. through a visual interface; S11.2: Both the masseur and the customer can view their own massage history records and effect evaluations to help both parties better understand the effect of the massage service. S12: Regular report generation; S12.1: The system can generate regular massage health reports for customers, evaluate massage effects and physical changes, provide health advice to customers, and improve long-term customer satisfaction and loyalty;

[0054] By setting up visualization and reporting, it is possible to provide customers and masseurs with clear and intuitive data display and service feedback. The system uses a visual interface to display changes in various data of customers during the massage process, such as physiological data, pain scores, satisfaction, etc., to help customers understand their body reactions and massage effects in real time. Masseurs can also view relevant data and adjust massage techniques and intensity in a timely manner to ensure maximum service effects. In addition, the system can also generate regular health reports for customers, evaluate massage effects and physical changes of customers, and provide personalized health advice. Through these regular reports, customers can better understand their health improvements during the massage process, improve long-term satisfaction and loyalty, and masseurs can optimize services based on the report results to ensure that each massage achieves the best results.

[0055] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A correction pattern method supervision and analysis system, characterized in that: The following steps are involved: Data collection and preprocessing, pattern recognition and modeling, anomaly detection and evaluation, correction and feedback mechanisms, personalized recommendations and service optimization, visualization and reporting; The data collection and preprocessing includes the following steps: S1: data collection; S1.1: Collect the massage therapist's technique data, including hand movements, strength, and rhythm, through sensors or smart massage equipment (such as massage beds, gloves, sensor belts, etc.); S1.2: Collect real-time feedback from customers through questionnaires and smart devices (such as voice assistants and feedback buttons on massage chairs), including pain, relaxation, and satisfaction; S1.3: Use wearable devices (such as smart bracelets, heart rate monitors, etc.) to monitor the customer’s physiological data in real time, such as heart rate, galvanic skin response, muscle tension, etc., to evaluate the massage effect. S2: data preprocessing; S2.1: Remove noisy data and correct errors in sensor readings; S2.2: Convert data into a format that is easy to analyze and facilitate subsequent processing.

2. A correction pattern technique monitoring and analysis system according to claim 1, characterized in that: The pattern recognition and modeling includes the following steps, S3: technique analysis; S3.1: The system uses machine learning and computer vision technology to analyze the massage therapist's techniques, including the trajectory, speed, strength, frequency, etc. of hand movements, to identify whether the massage techniques meet the standards; S3.2: Based on customer feedback, determine whether the massage technique has achieved the desired effect, whether there is excessive or insufficient force, and whether it causes discomfort to the customer. S4: Modeling of physiological responses; S4.1: Establish a model of the customer's physiological response to different massage techniques by analyzing the changes in the customer's physiological data during the massage process (such as heart rate fluctuations, skin temperature, etc.); S4.2: Optimize the intensity and frequency of massage based on the individual needs of the customer (e.g. preference for gentle or vigorous massage); S4.3: Use technologies such as facial expression recognition and voice analysis to determine the customer’s emotional state, such as whether the customer is nervous, anxious, or relaxed.

3. A correction pattern technique monitoring and analysis system according to claim 1, characterized in that: The anomaly detection and evaluation comprises the following steps, S5: massage anomaly detection; S5.1: Identify massage anomalies that may cause discomfort or injury to the customer by detecting the massage therapist's techniques and the customer's real-time physiological responses; for example, excessive force and frequent changes in massage techniques are detected; S5.2: The system can also monitor the customer's pain feedback data during the massage process to detect abnormal conditions such as pain lasting too long. S6: Safety assessment; S6.1: Based on the customer's health condition (such as the elderly, pregnant women, patients with chronic diseases, etc.) and the massage technique, evaluate in real time whether the technique is suitable for specific customers to avoid health risks caused by improper massage.

4. A correction pattern technique monitoring and analysis system according to claim 1, characterized in that: The correction and feedback mechanism comprises the following steps, S7: automatic correction technique; S7.1: For massage techniques that are not in compliance with the regulations or are abnormal, the system can adjust the strength, rhythm and other parameters of the massage equipment through intelligent feedback. For example, if the massage chair is too strong, the system can automatically reduce the strength or switch to a soothing mode. S8: Manual intervention and guidance; S8.1: The system can provide real-time operation guidance and feedback to masseurs. For example, if the system detects that the masseur's technique is not standard, it can remind the masseur to adjust the technique to avoid causing discomfort to the customer due to incorrect massage methods.

5. A correction pattern technique monitoring and analysis system according to claim 1, characterized in that: The personalized recommendation and service optimization includes the following steps, S9: personalized massage plan; S9.1: The system generates a personalized massage plan based on the customer's physical condition (such as muscle tension, fatigue level, etc.) and past massage experience; Through machine learning, customer historical feedback is analyzed to optimize the technique and intensity of each massage. S10: Massage technique library; S10.1: The system establishes a massage technique database, including common massage types (such as relaxation, stress relief, therapeutic massage, etc.), and recommends the most appropriate massage type based on customer feedback and effect evaluation.

6. A correction pattern technique monitoring and analysis system according to claim 1, characterized in that: The visualization and reporting includes the following steps, S11: data visualization; S11.1: The system can present the changes of various data of customers during the massage process through a visual interface, such as physiological data, pain score, satisfaction, etc.; S11.2: Both masseurs and customers can view their massage history and effect evaluation to help both parties better understand the effectiveness of the massage service. S12: Periodic report generation; S12.1: The system can generate regular massage health reports for customers, evaluate massage effects and body changes, provide health advice to customers, and improve long-term customer satisfaction and loyalty.

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