Method for adjusting the inertial sensing range and sensitivity

Abstract

The application provides an adjustment method for inertia sensing range and sensitivity, and belongs to the technical field of parameter adjustment, which comprises the following steps: obtaining basic information of a moving body after obtaining a project starting instruction, and calling a sensing range matched with the basic information; setting different detection nodes in the whole process before the project starts, recording feedback degrees of the moving body in sequence when the project is executed to each node, increasing or decreasing values of corresponding positions of an internal curve according to the feedback degrees, and dynamically setting corresponding sensitivities according to the internal curve; determining feedback speeds and external performances of the moving body in the process of project execution, combining with a motion model library, and adjusting subsequent contents and links of the project until the project is completed or closed. The adjustment method for inertia sensing range and sensitivity provided by the application can dynamically adjust according to the state of the moving body and actual conditions, and is more targeted to ensure the smooth completion of the project.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of parameter adjustment, and more particularly to an adjustment method for inertial sensing range and sensitivity. BACKGROUND

[0002] An inertial sensor mainly consists of a movable mass block, a fixed anchor point, an elastic structure, and a fixed electrode. The inertial sensor is used to measure basic physical quantities such as motion, acceleration, and rotational speed, and is widely used in the field of wearable device electronic products. With the development of inertial sensors, they have made great progress in multimedia games.

[0003] Generally, the adjustable parameters of the inertial sensor include the sensing range and the sensitivity. The sensitivity needs to be specifically adjusted according to different occasions, especially for different volumes and different ways of moving bodies. If the sensitivity is too high, it may cause misjudgment, and if the sensitivity is too low, it may lead to invalid determination of the moving body action. The existing adjustment strategy usually presets multiple versions, each of which is suitable for a certain group of people. However, the state of the same moving body at different time points is different, and the requirement for sensitivity is also different. How to adjust the most suitable sensitivity without obvious intervention is a very important problem. However, the existing strategy cannot timely and effectively match the effective and suitable parameters, which leads to the problem that related projects cannot be effectively executed for a long time. SUMMARY

[0004] The purpose of the present application is to provide an adjustment method for the inertial sensing range and sensitivity, which aims to solve the problem of being unable to timely and effectively match the effective and suitable parameters, leading to the problem that related projects cannot be effectively executed for a long time.

[0005] To achieve the above purpose, the technical solution adopted by the present application is to provide an adjustment method for the inertial sensing range and sensitivity, comprising:

[0006] capturing the activities and behavior content of the moving body in the detection area in real time;

[0007] After obtaining the project start instruction, the basic information of the moving body is obtained, and the sensing range is retrieved from the basic information; the initial value corresponding to the internal curve and the sensitivity is set in combination with the basic information and the state of the moving body in the subsequent time interval;

[0008] Different detection nodes are set before the start of the project and in its whole process, and the feedback degree of the moving body is recorded in sequence when each node is executed, the value of the corresponding position of the internal curve is increased or decreased according to the feedback degree, and the corresponding sensitivity is dynamically set according to the internal curve;

[0009] Determine the feedback speed and external performance of the moving body in the process of the project execution, and adjust the subsequent content and link of the project in combination with the action model library until the project is completed or closed.

[0010] In a possible implementation, the real-time capturing of the activity and behavior content of the moving body in the detection area includes:

[0011] Erect an inertial sensor, connect the inertial sensor with a camera, a distance sensor and a sound pickup device; the camera is used to directly pick up the action of the moving body, the distance sensor cooperates with the camera to measure the distance between the moving body and the inertial sensor, and the sound pickup device acquires the action sound and communication data of the moving body in the case of permission;

[0012] Adjust the sensing range and sensitivity of the inertial sensor in combination with the feedback content of the camera, the distance sensor and the sound pickup device, and relevant experience and design rules.

[0013] In a possible implementation, the acquisition of the basic information of the moving body includes:

[0014] The camera and the sound pickup device cooperate to infer the body condition of the moving body, the body condition includes age, gender and three-dimensional size, and the basic information contains the body condition.

[0015] In a possible implementation, after the project start instruction is acquired, the acquisition of the basic information of the moving body includes:

[0016] Identify the identity of the moving body, and determine the historical record after the identification is completed;

[0017] According to the historical record, judge the interest degree of the moving body to the project and correct the initial value accordingly.

[0018] In a possible implementation, the recording of the feedback degree of the moving body in sequence when executing to each node includes:

[0019] In the process of the moving body executing the project, the sound pickup device, the distance sensor and the camera real-time collect the action and state of the moving body, and identify the influence source in the surrounding environment and the response degree of the moving body to the influence source at the same time;

[0020] According to the response degree, pause or close the project, or according to the processing situation of the moving body to the influence source, open the project in advance.

[0021] In a possible implementation, the setting of the initial value of the sensitivity and the intrinsic curve in combination with the basic information and the state of the moving body in the subsequent time interval comprises:

[0022] The preparation link is set in the time interval after the project is started, and the preparation of the moving body is completed through the preparation link; the intrinsic curve is set according to the following condition of the moving body and the feedback speed; the intrinsic curve is real-time synchronized with the project, and the intrinsic curve represents the activity value of the moving body at different time nodes.

[0023] In a possible implementation, the setting of different detection nodes in the whole process of the project before the project is started comprises:

[0024] The preset attraction points with high importance in the execution process of the project are set as the nodes;

[0025] In combination with the specific content of the project and the positions of the nodes in the project, a preliminary influence value is set; the influence value represents the expected improvement of the activity value and the intrinsic curve.

[0026] In a possible implementation, the increasing or decreasing of the value of the intrinsic curve at the corresponding position according to the feedback degree comprises:

[0027] The camera, the distance sensor and the sound pickup device compare the content in the project with the completion condition of the moving body, analyze the difference between the two and the time difference of the moving body in performing the corresponding content when the moving body acquires the corresponding content; at the same time, the camera and the sound pickup device increase or decrease the value of the intrinsic curve at the corresponding position according to the reaction condition of the moving body when the moving body completes part of the content of the project.

[0028] In a possible implementation, the determination of the feedback speed and the external performance of the moving body in the execution process of the project and the combination with the action model library comprises:

[0029] According to the basic information of the moving body, a corresponding reference part is selected from the moving model library;

[0030] The total activity amount and the energy consumption speed are inferred according to the basic information and the time of the moving body in performing the project; and the content of the project is compared with the completion condition of the moving body, and finally the fatigue degree of the moving body is predicted.

[0031] In a possible implementation, the adjustment of the subsequent content and link of the project comprises:

[0032] If the fatigue degree of the moving body is high, the subsequent easy and low difficulty part of the item is advanced, and the subsequent part of the item is adjusted according to the acceptance degree of the moving body to the adjusted content.

[0033] The inertial sensing range and sensitivity adjustment method provided by the application has the advantages that, compared with the prior art, the activity and behavior content of the moving body in the detection area are captured in real time as preparation before starting the item. After obtaining the item starting instruction, the basic information of the moving body is obtained, and the sensing range is adjusted according to the basic information. The initial value of the internal curve and the sensitivity is set according to the basic information and the state of the moving body in the subsequent time interval. The feedback degree of the moving body is recorded when each node of the item is executed, the value of the corresponding position of the internal curve is increased or decreased according to the feedback degree, and the adjustment of the internal curve also sets the sensitivity. The content and part of the subsequent item are adjusted according to the feedback speed and external performance of the moving body and the action model library during the execution of the item, until the item is completed or closed. The method provided by the application can dynamically adjust the state of the moving body and the actual situation, and has strong pertinence to ensure the smooth completion of the item. BRIEF DESCRIPTION OF DRAWINGS

[0034] In order to more clearly illustrate the technical solutions in the embodiments of the application, the following will briefly introduce the drawings needed to be used in the embodiments or prior art description. Obviously, the drawings in the following description only some embodiments of the application, and for those skilled in the art, other drawings can be obtained without creative labor.

[0035] Figure 1 The flowchart of the inertial sensing range and sensitivity adjustment method provided by the application. DETAILED DESCRIPTION

[0036] In order to make the technical problems, technical solutions and beneficial effects of the application more clear, the following will be further described in detail. It should be understood that the specific embodiments described herein are only used to explain the application, and are not used to limit the application.

[0037] Please refer to Figure 1 The inertial sensing range and sensitivity adjustment method provided by the application will be described. The inertial sensing range and sensitivity adjustment method comprises:

[0038] The activity and behavior content of the moving body in the detection area are captured in real time.

[0039] After obtaining the project starting instruction, the basic information of the moving body is acquired, and the sensing range suitable for the basic information is called; the internal curve and the initial value corresponding to the sensitivity are set according to the basic information and the state of the moving body in the subsequent time interval.

[0040] Different detection nodes are set in the whole process before the project starts, and the feedback degree of the moving body is recorded in sequence when each node is executed, the value of the corresponding position of the internal curve is increased or decreased according to the feedback degree, and the corresponding sensitivity is dynamically set according to the internal curve.

[0041] The feedback speed and external performance of the moving body are determined in the process of executing the project, and the subsequent content and link of the project are adjusted in combination with the action model library until the project is completed or closed.

[0042] The inertial sensing range and sensitivity adjustment method provided by the application has the beneficial effects that, compared with the prior art, the inertial sensing range and sensitivity adjustment method of the application first captures the activity and behavior content of the moving body in the detection area in real time as the preparation work before the project starts. After obtaining the project starting instruction, the basic information of the moving body is acquired, and the sensing range suitable for the basic information is called. And the initial value corresponding to the sensitivity is set according to the basic information and the state of the moving body in the subsequent time interval. The feedback degree of the moving body is recorded when each node of the project is executed, the value of the corresponding position of the internal curve is increased or decreased according to the feedback degree, and the adjustment of the internal curve also sets the sensitivity accordingly. And in the process of executing the project, the feedback speed and external performance of the moving body are determined in combination with the action model library, and the subsequent content and link of the project are adjusted until the project is completed or closed. The method provided by the application can dynamically adjust the state and actual situation of the moving body specifically, and the pertinence is strong to ensure the smooth completion of the project.

[0043] In some embodiments of the inertial sensing range and sensitivity adjustment method provided by the application, the real-time capture of the activity and behavior content of the moving body in the detection area includes:

[0044] The inertial sensor is erected, and the inertial sensor is connected with the camera, the distance sensor and the sound pickup device; the camera is used for directly picking up the action of the moving body, the distance sensor is used for calculating the distance between the moving body and the inertial sensor in cooperation with the camera; and the sound pickup device is used for acquiring the action sound and communication data of the moving body in the case of permission.

[0045] The sensing range and sensitivity of the inertial sensor are adjusted according to the feedback content of the camera, the distance sensor and the sound pickup device, and in combination with the relevant experience and design rules.

[0046] When the traditional adjustment strategy is applied, taking a body sport as an example, the sensing range and sensitivity are fixed, which leads to a poor game experience. Because sometimes the mood of the person is low or the person is not interested in the game, the person is not active in completing the corresponding action. At this time, if the sensitivity does not change, some actions cannot be completed, thereby causing a large negative feedback, so that the game cannot continue. Therefore, at this time, the sensitivity is increased to make the person improve the positive feedback and thus improve the mood, so that the game can continue.

[0047] In other embodiments, obtaining the basic information of the moving body includes: obtaining an identity, such as an ID card number, an account number, or the like, through an identity recognition device associated with the moving body, and extracting basic features such as age and gender therefrom; or obtaining current physical state information such as heart rate, blood pressure, and exercise habits through a smart device such as a smart bracelet or a smart watch carried by the moving body.

[0048] According to the basic information, the system automatically retrieves the appropriate sensitivity. For example, for children who are younger and more active, because they are more flexible and have a high level of enthusiasm, there are often a lot of content that does not belong to the project in a short period of time. At this time, the sensitivity can be reduced to avoid the project not being carried out according to the pre-set rules. For adults who are older and relatively slow, the sensitivity needs to be appropriately increased because this group of people are not very enthusiastic and are more likely to receive negative feedback. If a small problem is encountered at the beginning of the project, the project may not be completed successfully, so the sensitivity needs to be increased to generate more positive feedback. When setting the initial value of the internal curve and the sensitivity, the basic information and the movement state of the moving body in the initial time period are considered comprehensively.

[0049] When each node of the project is executed, if the feedback degree of the moving body is low, for example, in a body game, the system does not give timely and accurate feedback after the player completes an action, which causes the player's action to stop or appear confused. At this time, the system will increase the sensitivity to make the system respond more quickly so that the player can more clearly perceive the completion of each action. Conversely, if the feedback degree is too high, for example, the player shows excessive excitement in the game, and the action is too rapid, the system will appropriately reduce the sensitivity because the excessive rapidity cannot guarantee that the project can be completed successfully. At this time, the moving body needs to be appropriately "restrained" to meet the requirements of the project.

[0050] In the process of project implementation, when the feedback speed of the moving body and the external performance are determined and adjusted in combination with the action model library, if it is found that the feedback speed of the player suddenly increases and the external performance shows that the action of the player becomes more complex and changeable, the system will refer to similar complex action modes in the action model library to predict the possible action of the player in advance, so as to ensure that the action of the player can be accurately captured. For example, in a dance somatosensory game, when the dance action of the player gradually speeds up and the difficulty increases, the system will expand the sensing range to adapt to the more intense action changes of the player, so that the player can always maintain a good game experience until the project is completed or closed.

[0051] In some embodiments of the adjustment method for the inertial sensing range and sensitivity provided in the application, the basic information of the moving body includes:

[0052] The body condition of the moving body is inferred by the camera and the sound pickup device, and the body condition includes age, gender and three-dimensional size; and the basic information includes the body condition.

[0053] By determining the basic information, different measurements can be performed on different people. For example, for a person with a smaller age, the sensitivity can be appropriately lowered. For a person with a larger age, the sensitivity can be appropriately increased because the activity of the person can be inconvenient. At the same time, the sensing range is also automatically adjusted according to the size of the activity occasion. An embodiment is that when the activity occasion is small, the sensing range needs to be reduced because a too large sensing range is meaningless. At the same time, the sensing range also needs to be adapted to the requirements of the project, that is, the sensing range changes in a period of time according to different requirements of the project. For example, the project requires that the action is completed in a larger area, so the sensing range needs to be expanded.

[0054] For example, in a smaller indoor activity space, the sensing range will automatically decrease to accurately capture the movements of the moving body within the limited space, ensuring accurate perception of subtle movements. In an open space such as a large outdoor plaza, the sensing range will significantly expand to comprehensively monitor the movement trajectory of the moving body, adapting to the needs of different movement speeds and amplitudes. In addition, for different types of sports, the sensing range will be adjusted according to their characteristics. For more intense sports with large movement amplitudes, the sensing range will be appropriately increased to more accurately record movement data. For some more relaxed sports with relatively stable movements, the sensing range will be appropriately reduced, which will reduce energy consumption and improve accuracy. This is because the processor can determine the activity in the area more efficiently in a short period of time, thereby improving accuracy. This ensures effective monitoring without excessive sensitivity that may cause data interference. Moreover, with the continuous development of technology, future adjustments to the inertial sensing range and sensitivity may incorporate more advanced technologies. For example, artificial intelligence algorithms can be used to intelligently analyze the real-time movements of the moving body, predict its next movement trend, and dynamically adjust the sensing range and sensitivity to provide more personalized and intelligent monitoring services for the moving body, making the collection and analysis of movement data more efficient and accurate, and providing stronger support for people's sports health management and other aspects.

[0055] In some embodiments of the adjustment method for inertial sensing range and sensitivity provided in the present application, when the project start instruction is obtained, the basic information of the moving body is obtained, including:

[0056] The identity of the moving body is identified, and the historical record is determined after the identification is completed.

[0057] According to the historical record, the interest degree of the moving body in the project is determined and the initial value is corrected accordingly.

[0058] If the historical record can be queried, the content of the project that meets the interest point of the moving body can be recommended according to the historical record, and the basic emotional level can be more accurately predicted.

[0059] In some more complex scenarios, when the moving body is in different environmental conditions, the acquisition and analysis of basic information become more critical. For example, when the moving body is in a noisy environment, the accuracy of identity recognition may be affected, and more advanced recognition technologies need to be used, such as multi-modal information recognition methods, including sound, image, etc., to ensure accurate identification of the identity of the moving body and accurate acquisition of the historical record.

[0060] The utilization of historical records is not limited to recommending items and predicting emotional levels. Through deep mining of historical records, the behavior pattern changes of the sports body in different time periods and different situations can also be analyzed. For example, if it is found that the sports body has a significant increase in interest in certain types of items in a specific season, more items that meet their interests can be provided in the corresponding season, further improving the sports body's participation and satisfaction in the items.

[0061] At the same time, with the continuous development of technology, the prediction of the basic emotional level of the sports body will be more refined. More dimensions of data can be combined, such as changes in the sports body's physiological indicators (heart rate, blood pressure, etc.), environmental factors (temperature, humidity, etc.), and social interaction information, to build a more comprehensive and accurate emotional prediction model, so that the content and related settings of the items can be adjusted according to the emotional state of the sports body, achieving a more personalized and intelligent service experience.

[0062] In actual application, the security and privacy protection of data also need to be considered. For the basic information and historical records of the sports body, strict encryption storage and access control measures should be taken to prevent data leakage and abuse. Only under the premise of ensuring data security and privacy, can the advantages of the inertia sensing range and sensitivity adjustment method be fully utilized to provide high-quality and reliable services for the sports body.

[0063] In addition, with the increasing number of sports bodies and the increasing richness of application scenarios, how to efficiently manage and process massive sports body data is also a problem that needs to be solved. Advanced data management technologies and algorithms, such as big data processing frameworks and machine learning algorithms, need to be introduced to realize fast storage, retrieval, analysis and processing of data, to ensure that the system can respond in real time and accurately process the information of each sports body, providing timely and effective service support.

[0064] In the future, with the continuous progress of science and technology, the inertia sensing range and sensitivity adjustment method is expected to be widely applied in more fields and continuously optimized and improved. For example, in the field of intelligent health monitoring, more accurate acquisition of the basic information of the sports body and adjustment of related parameters can provide more personalized health management solutions for users; in the field of intelligent transportation, the movement characteristics and interest preferences of vehicles or pedestrians can be used to optimize traffic flow control and travel services, improve traffic efficiency and safety. By continuously expanding application scenarios and improving technical performance, this method will bring more convenience and value to people's lives and work.

[0065] In some embodiments of the inertia sensing range and sensitivity adjustment method provided in the present application, recording the feedback degree of the sports body in turn when executing to each node comprises:

[0066] During the execution of the project, the actions and status of the moving body are collected in real time by microphones, distance sensors and cameras, while identifying the influence sources of the surrounding environment and the degree of response of the moving body to the influence sources.

[0067] The project may be suspended or shut down depending on the level of response, or the project may be started ahead of schedule depending on how well the movement has affected the source of the impact.

[0068] In this example, if the moving object is a person, the influencing sources could be a mobile phone, food delivery, changes in the state of items within the scene, intervention by other people, television, or unexpected events. Based on the impact of these influencing sources on the moving object (the person), the system or device within the project itself can pause or stop it. Furthermore, when permitted, the project can be restarted in advance using sensors such as microphones when the user needs to continue the project.

[0069] Specifically, when the subject is a person and the source of influence is a mobile phone, if the person frequently checks their phone while performing a certain activity, the microphone, proximity sensor, and camera will capture the relevant actions and changes in state, identifying the phone's influence on the person. If this influence reaches a certain level, the system or device can pause the activity. When the source of influence is food delivery, if the food arrives, the person's attention will be drawn to the food, causing changes in their actions and state, which will be captured by the sensors, and the activity can be paused accordingly. Changes in the state of objects within the scene, such as a sudden object falling and affecting a person's movement, can be detected by the sensors, prompting the system to pause the activity. Intervention by other people works similarly; if someone interrupts the person's activity, the sensors will recognize this and pause the activity. The influence of television is also relevant; if a person is distracted by television content and their attention is diverted from the activity, the system will take the corresponding pause action. In the face of emergencies, such as a sudden alarm, the sensors will capture the person's reaction and promptly pause the activity. When permitted, sensors such as microphones can detect a user's intention to continue the activity and start the activity in advance, ensuring that the activity can be flexibly adjusted according to the actual situation, better adapt to various scenarios, and provide users with a more convenient and intelligent experience.

[0070] In some embodiments of the inertial sensing range and sensitivity adjustment method provided in this application, the initial value and intrinsic curve of the sensitivity are established by combining basic information and the state of the moving body in subsequent time intervals, including:

[0071] A preparation phase is established within the time frame after the project begins, through which the movement is prepared; an internal curve is established based on the movement's following behavior and feedback speed; the internal curve is synchronized with the project in real time, and the internal curve represents the movement's activity value at different time points.

[0072] Through the preparation stage, the mood and state of the moving body today are preliminarily judged, and only after the preliminary judgment is completed can the appropriate project be matched, and the appropriate sensitivity is matched.

[0073] The intrinsic curve can be understood as the emotional value of the person. If the emotion is high, it means that the person is currently happy and has a high level of acceptance, so the sensitivity can be appropriately reduced. If the emotional value is low, the person is currently depressed and needs more positive feedback, so the sensitivity can be appropriately increased to ensure the normal operation of the project.

[0074] In actual operation, in order to more accurately adjust the sensitivity, the preparation stage can be further refined. For example, detailed records of the moving body's parameters during preparation, including but not limited to its posture, energy reserves, and other information. These additional data will help to more comprehensively understand the initial state of the moving body, thereby providing more abundant basis for subsequent establishment of the intrinsic curve.

[0075] For the step of establishing the intrinsic curve according to the following conditions of the moving body and the feedback speed, we can use more complex algorithms. For example, introduce a machine learning model, learn and analyze a large amount of historical data, and find the potential relationship between the following conditions of the moving body and the feedback speed and the intrinsic curve. This way, the establishment of the intrinsic curve can be more intelligent and accurate, and can better adapt to the characteristics and changes of different moving bodies.

[0076] In the preparation stage, in addition to the preliminary judgment of the mood and state of the moving body today, environmental factors can also be considered in the comprehensive consideration. For example, consider the influence of current temperature, humidity, and light intensity on the moving body. If the environment is harsh, it may affect the performance of the moving body, so when judging its mood and state, more caution is needed to ensure that the appropriate project and sensitivity can be accurately matched.

[0077] When the intrinsic curve is synchronized with the project in real time, we can establish a real-time monitoring system. This system can continuously track the changes in the activity value of the moving body at different time nodes and timely feedback to the operator. The operator can adjust the parameters and sensitivity of the project dynamically according to these real-time data to ensure that the project is always in the best operating state.

[0078] In order to verify the effectiveness of the above adjustment method, we can conduct a series of experiments. In the experiment, different types of moving bodies are selected, and the inertia sensing range and sensitivity are adjusted according to the above method, and the performance of the moving body is recorded. Through the analysis of the experimental results, the adjustment method is further optimized to ensure that it can achieve accurate sensitivity adjustment in various complex situations, thereby improving the running efficiency and stability of the moving body in the project.

[0079] In some embodiments of the method for adjusting the inertial sensing range and sensitivity provided in the present application, the different detection nodes set up during the whole process before the project starts include:

[0080] The preset attraction points with high importance in the execution process of the project are set as nodes.

[0081] Combined with the specific content of the project and the location of each node in the project, a preliminary impact value is set; the impact value represents the expected improvement of the activity value and the intrinsic curve.

[0082] During the process of the project, multiple nodes are set, which have been set in advance. The nodes are mostly important stimulation scenes, and the nodes are prone to cause changes in human emotions. Through multiple tests, it can be roughly estimated how much the emotion of the human will fluctuate when experiencing the above-mentioned nodes. According to the reaction of the moving body to the nodes, it is inferred that the intrinsic curve, i.e., the change of emotion, at this time, whether the expected happiness or pleasure has appeared.

[0083] For each detection node, further analysis is made on its specific mechanism for adjusting the inertial sensing range and sensitivity. When the moving body exhibits a specific emotional fluctuation at a certain node, a detailed study is made on how this emotional change affects the various parameters of inertial sensing. For example, if the moving body exhibits an excited emotion in an important stimulation scene, it may lead to an increase in action amplitude and an acceleration in speed, which will have an impact on the acceleration, angular velocity and other data detected by the inertial sensor. Based on these influences, a quantitative relationship model between emotional fluctuation and inertial sensing data change is established.

[0084] Through this model, the sensitivity can be dynamically adjusted more accurately according to the emotional state of the moving body. When the moving body is in different emotional stages, the system can automatically identify and make corresponding adjustments according to the model to ensure that the real motion state information of the moving body can be accurately obtained in various situations. At the same time, the model is constantly optimized, verified and improved through more test data, improving its accuracy and reliability in describing the relationship between emotion and inertial sensing, thereby providing strong support for more intelligent and effective inertial sensing applications.

[0085] In actual application scenarios, this sensitivity adjustment method based on emotional nodes is applied to various motion monitoring devices. For example, in a smart fitness device, when the user encounters a preset incentive node during training, the device can real-time perceive the emotional change of the user and adjust the sensing parameters accordingly, more accurately recording the action details of the user and providing more personalized training feedback and guidance. In a virtual reality game scenario, according to the emotional response of the player at different scenario nodes, the capture accuracy of the player's action is dynamically optimized, making the game experience more smooth and immersive.

[0086] Further expand the application possibilities of this method in other fields. Consider in the field of medical rehabilitation, using the correlation between emotion and inertia sensing to monitor the emotional state and physical movement response of patients during rehabilitation training. For patients with more positive emotions, appropriately reduce the sensitivity and analyze the effectiveness of their rehabilitation movements in more detail; for patients with low mood or anxiety, increase the sensitivity and give them more positive feedback so that medical staff can intervene and adjust the rehabilitation program in time to improve the rehabilitation effect.

[0087] In the field of transportation, apply this method to autonomous vehicles. By monitoring the emotional response of the driver to different road condition nodes during driving, such as nervousness when encountering sudden traffic conditions, automatically adjust the sensing range and sensitivity of the vehicle sensors to more quickly and accurately perceive changes in the surrounding environment and ensure driving safety. At the same time, the emotional node information can also be used to optimize the intelligent auxiliary driving strategy of the vehicle, providing more thoughtful and demand-oriented driving support according to the emotional state of the driver.

[0088] With the continuous development of technology and the expansion of application scenarios, more data about emotional nodes and inertia sensing is continuously collected, and the potential relationship between the two is further studied. Explore new emotional analysis methods and technologies, combine artificial intelligence algorithms, and more comprehensively and deeply understand the behavior characteristics and inertia sensing rules of moving bodies in different emotional states. Through big data analysis and machine learning, continuously improve the adjustment strategy of inertia sensing range and sensitivity, so that it can adapt to the increasingly complex and variable actual application scenarios, bringing more convenience and value to people's life and work.

[0089] In some embodiments of the inertia sensing range and sensitivity adjustment method provided in the present application, the increasing or decreasing of the value of the corresponding position of the internal curve according to the feedback degree comprises:

[0090] The camera, distance sensor, and sound pickup device compare the content in the project with the completion of the moving body, analyze the differences between the two, and the time difference of the moving body performing the corresponding content when the moving body obtains the corresponding content; at the same time, the camera and sound pickup device increase or decrease the value of the corresponding position of the internal curve according to the reaction of the moving body when completing part of the content of the project.

[0091] The camera, sound pickup device, and other sensors monitor the state of the moving body in real time. In an embodiment, the project is a motion game, and a set of actions needs to be performed in the project. At this time, through the cooperation of multiple sensors, the enthusiasm of the person, i.e., the moving body, in completing the set of actions is observed, and the value of the internal curve is increased or decreased.

[0092] When the motion body has a high level of initiative in completing the action, such as being able to quickly and accurately perform the action, the camera captures its smooth action posture, and the sound pickup receives its energetic reaction sound, the value of the corresponding position of the internal curve is increased at this time. If the motion body has a low level of initiative in completing the action, the action is slow and not coherent, or the reaction to the content of the project is cold, the information fed back by the camera and the sound pickup shows these situations, then the value of the corresponding position of the internal curve is reduced. As the game progresses, the value of the internal curve is dynamically adjusted according to the actual performance of the motion body in completing the action, so as to better adapt to the changes in the state of the motion body, make the game experience more in line with the actual situation of the motion body, further optimize the inertia sensing range and sensitivity, and make the entire game process more smooth and interesting, and bring a better experience to the player. For example, when the motion body continues to maintain high initiative in subsequent game segments, the system will automatically reduce the sensitivity according to this situation to ensure that every subtle action of the motion body can be more accurately captured and determined, thereby making the game more interactive. Conversely, if the initiative of the motion body decreases, the system correspondingly increases the sensitivity to ensure that the game difficulty is always at an appropriate level, avoiding affecting the game experience of the player due to too high or too low difficulty.

[0093] In some embodiments of the adjustment method of the inertia sensing range and sensitivity provided in the present application, the feedback speed and external performance of the motion body are determined during the execution of the project, and the action model library is combined to include:

[0094] According to the basic information of the motion body, the corresponding reference part is selected in the motion model library.

[0095] The total activity amount and energy consumption speed are inferred based on the basic information and the time of the motion body executing the project; and the content of the project is compared with the completion of the motion body, and finally the fatigue degree of the motion body is predicted.

[0096] After the project proceeds to a certain extent, especially when people feel tired, in order to ensure the normal operation of the project, the content of the subsequent project needs to be adjusted. Of course, the fatigue speed of people of different ages is different, so specific analysis needs to be combined with basic information.

[0097] Firstly, the fatigue speed of motion bodies of different ages is significantly different. For example, young people usually have higher physical reserves and recovery capabilities, and their fatigue speed is relatively slow; while the fatigue speed of the elderly is faster due to the decline of their physical functions. Therefore, when specific analysis is combined with basic information, age is a key factor.

[0098] Take a 25-year-old young man and a 65-year-old old man as an example. Under the same project execution intensity, the 25-year-old young man may not show obvious signs of fatigue after several hours of continuous exercise, and his feedback speed may still be stable, and his external performance such as the accuracy and coordination of movements remains good. However, the 65-year-old old man may start to feel tired after a short time, such as an hour or so, his feedback speed slows down, and his external performance may show signs of slow movements and decreased accuracy.

[0099] By collecting more data of different age groups in similar projects, a more accurate fatigue prediction model can be established. This model can accurately predict the fatigue of the athlete based on factors such as age, project execution time, current activity level, energy consumption speed, and project completion.

[0100] When the system predicts that the athlete is close to the fatigue limit, it can automatically adjust the content of the subsequent project. For example, it can appropriately reduce the task difficulty, reduce the exercise amount, or increase the rest time. For young people, some challenging task segments can be appropriately added to stimulate their potential; for the elderly, the focus is on adjusting the task rhythm to ensure that they continue to participate in the project in a comfortable state, thereby ensuring the normal operation of the project.

[0101] In some embodiments of the adjustment method for the range and sensitivity of inertial sensing provided in the present application, adjusting the content and segments of the subsequent project includes:

[0102] If the athlete's fatigue level is high, the easier and less difficult segments in the subsequent project are moved forward, and the subsequent segments of the project are adjusted based on the athlete's acceptance of the adjusted content.

[0103] If the fatigue level is high, some easy content will be moved forward in the future, thereby relieving fatigue and avoiding the user from prematurely closing the project.

[0104] For example, a series of complex coordination training segments are originally scheduled in the subsequent project. When it is detected that the athlete's fatigue level is high, a simple relaxation stretching segment is moved forward before the coordination training. After completing the relaxation stretching, the athlete's acceptance of the adjusted content is observed. If the athlete shows good condition and can easily perform subsequent activities, some interesting exercises with slightly lower difficulty, such as simple interesting balance games, can be added to further relieve fatigue and improve the athlete's enthusiasm. If the athlete still appears to be tired, some more relaxed interactive segments, such as simple hand movement imitation games, are moved forward again, and the arrangement of the subsequent segments of the project is continuously optimized based on the athlete's response to ensure that the athlete can continue to complete the entire project in a relatively comfortable state rather than giving up the project prematurely due to high fatigue.

[0105] The above merely provides the preferred embodiments of the application, and is not used to limit the present application. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present application shall fall in the protected scope of the present application.

Claims

1. A method of adjusting the range and sensitivity of an inertial sensor, characterized by, The application relates to a real-time capturing and detecting system for the activity and behavior of a moving body in a detection area. When an item starting instruction is acquired, the basic information of the moving body is acquired, the sensing range is adjusted according to the basic information, the initial value of the sensitivity corresponding to the internal curve is set according to the basic information and the state of the moving body in a subsequent time interval. Different detection nodes are set in the whole process before the item starts, the feedback degree of the moving body is recorded when the item is executed to each detection node, the value of the corresponding position of the internal curve is increased or decreased according to the feedback degree, and the sensitivity is dynamically set according to the internal curve. The feedback speed and external performance of the moving body are determined in the process of executing the item, the subsequent content and link of the item are adjusted by combining the action model library, and the item is completed or closed. The real-time capturing and detecting system for the activity and behavior of a moving body in a detection area comprises the following steps:

2. The method of adjusting the sensing range and sensitivity of an inertial sensor according to claim 1, wherein, Inertial sensors are erected, and the inertial sensors are connected with a camera, a distance sensor and a sound pickup device; the camera is used for directly picking up the action of the moving body, the distance sensor is used for measuring the distance between the moving body and the inertial sensor in cooperation with the camera, and the sound pickup device is used for acquiring the action sound and communication data of the moving body in the case of permission; The sensing range and the sensitivity of the inertial sensor are adjusted according to the feedback content of the camera, the distance sensor and the sound pickup device and in combination with relevant experience and design rules. The basic information of the moving body is acquired by the camera and the sound pickup device, and the basic information comprises the body condition of the moving body, the body condition including age, gender and three-dimensional size.

3. The method of adjusting the sensing range and sensitivity of an inertial sensor according to claim 2, wherein, The basic information of the moving body is acquired by the camera and the sound pickup device, and the basic information comprises the body condition of the moving body, the body condition including age, gender and three-dimensional size. The basic information of the moving body is acquired by the camera and the sound pickup device, and the basic information comprises the body condition of the moving body, the body condition including age, gender and three-dimensional size.

4. The method of adjusting the sensing range and sensitivity of an inertial sensor according to claim 2, wherein, The feedback degree of the moving body is recorded when the item is executed to each detection node. In the process of executing the item by the moving body, the action and state of the moving body are collected in real time by the sound pickup device, the distance sensor and the camera, the influence source in the surrounding environment and the response degree of the moving body to the influence source are identified, the item is paused or closed according to the response degree, or the item is started in advance according to the processing situation of the moving body to the influence source. The initial value of the sensitivity and the internal curve are set according to the basic information and the state of the moving body in a subsequent time interval.

5. The method of adjusting the sensing range and sensitivity of an inertial sensor according to claim 2, wherein, Different detection nodes are set in the whole process before the item starts. ​ ​ 6. The method of adjusting the sensing range and sensitivity of an inertial sensor according to claim 2, wherein, ​ ​ 7. The method of adjusting the sensing range and sensitivity of an inertial sensor according to claim 6, wherein, ​ Setting the preset attraction points with high importance in the execution process of the project as the nodes; Setting a preliminary influence value according to the specific content of the project and the location of each node in the project, which represents the expected improvement of the active value and the intrinsic curve.

8. The method of adjusting the sensing range and sensitivity of an inertial sensor according to claim 2, wherein, The increasing or decreasing of the value of the corresponding position of the intrinsic curve according to the feedback degree includes: Comparing the content in the project with the completion of the moving body by the camera, the distance sensor and the sound pickup, analyzing the difference between them and the time difference of the moving body in executing the corresponding content when the moving body acquires the corresponding content; meanwhile, increasing or decreasing the value of the corresponding position of the intrinsic curve by the camera and the sound pickup according to the reaction of the moving body in completing part of the content in the project.

9. The method of adjusting the sensing range and sensitivity of an inertial sensor according to claim 2, wherein, The judging of the feedback speed and external performance of the moving body during the execution of the project and combining the action model library includes: Selecting the corresponding reference part in the action model library according to the basic information of the moving body; Infer the total activity and energy consumption speed according to the basic information and the time of the moving body in executing the project; and compare the content of the project with the completion of the moving body, finally predict the fatigue degree of the moving body.

10. The method of adjusting the sensing range and sensitivity of an inertial sensor according to claim 9, wherein, The adjustment of the subsequent content and link of the project includes: If the fatigue degree of the moving body is high, the subsequent link of the project with relatively easy and low difficulty is advanced, and the subsequent link of the project is adjusted again according to the acceptance degree of the moving body to the adjusted content.

Images