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CN-122025001-A - Intelligent activity interaction method, equipment and storage medium for old people based on virtual reality

CN122025001ACN 122025001 ACN122025001 ACN 122025001ACN-122025001-A

Abstract

The invention relates to the technical field of intelligent care and health information, and discloses an intelligent activity interaction method for old people based on virtual reality, which comprises the following steps: S1, acquiring health basic information, activity preference information and using proficiency information of virtual reality equipment of an elderly user to form a basic portrait of the user. The safety data interface connected with the health file system is constructed, the detailed health basic information of the elderly users is integrated, multi-dimensional adaptability constraint conditions comprising activity intensity, action complexity, scene acousto-optic stimulation, activity duration and the like are automatically constructed according to the detailed health basic information, and the mechanism can intelligently screen and mark activity projects with controllable safety risks for the elderly with different health conditions such as cardiovascular diseases, limb disorders, sensory decay, cognitive disorders and the like, so that the potential safety hazard caused by 'one-cut' of the traditional activity is fundamentally solved, and the safety of the intervening foundation stone is ensured.

Inventors

  • HUANG JIANLING

Assignees

  • 河南深寻人工智能科技有限公司

Dates

Publication Date
20260512
Application Date
20260116

Claims (10)

  1. 1. The intelligent activity interaction method for the aged population based on virtual reality is characterized by comprising the following steps of: S1, acquiring health basic information, activity preference information and using proficiency information of virtual reality equipment of an elderly user to form a user basic portrait; S2, activity screening, namely constructing a multidimensional adaptability constraint condition based on health basic information, screening from a preset virtual activity resource library by combining a user basic portrait to generate a candidate activity item set, wherein the candidate activity item comprises social interaction, cognitive exercise, nostalgic experience and light-weight exercise class, and marking the suitability grade; S3, constructing an immersive virtual scene according to the candidate activity items, configuring an interactive guidance, safety protection and auxiliary adjustment module, wherein the interactive guidance adopts a combination mode of voice, vision and step guidance, the safety protection presets intensity, action threshold and an abnormal early warning mechanism, and auxiliary adjustment supports automatic adjustment of scene parameters; s4, interactive execution, namely establishing interactive connection between a user and a virtual scene, receiving an interactive operation signal through an adaptive device, and synchronously recording interactive process data such as operation completion degree, interactive frequency and the like; S5, dynamic adaptation, namely generating an activity effect evaluation report based on the interaction process data, and adjusting virtual scene parameters, candidate activity items and user basic portraits in combination with the report to realize full-flow dynamic adaptation interaction.
  2. 2. The method according to claim 1, wherein the health basic information in the step S1 includes recent physical examination records, daily activity assessment results, chronic disease diagnosis information and sensory function detection data, the activity preference information includes interest types, past records, duration preference, frequency requirements and rejection types, the obtaining mode includes that standardized health files are obtained in batches through a safety data interface, preference information is obtained through combination of visual questionnaire collection and historical record analysis, and proficiency information is obtained through basic operation trial use, wherein the proficiency information includes learning duration, error rate and autonomous completion proportion.
  3. 3. The method according to claim 1, wherein the multi-dimensional adaptability constraint conditions in the step S2 include activity intensity, action complexity, scene acousto-optic threshold and activity duration constraint, specifically, intensity upper limit and continuous duration constraint are set for cardiovascular disease patients, action simplification constraint is set for limb disorder users, acousto-optic parameter constraint is set for sensory degradation users, task complexity constraint is set for cognitive degradation users, and a single task flow is adopted.
  4. 4. The method of claim 1, wherein the scene construction in the step S3 further comprises configuring scene elements including corresponding building, folk-custom, background music and articles for daily use models in combination with user growth years and regional culture, configuring multi-user collaborative interaction and identity identification modules to support multi-user synchronous participation, real-time interaction and administrator intervention regulation, and performing suitability pre-detection of guiding definition, operation convenience and the like after the scene construction, wherein verification is available through the rear.
  5. 5. The method of claim 1, wherein the adapting device in step S4 is a multi-mode interactive device, and the multi-mode interactive device comprises a voice controller, a simple gesture handle, a head capturing device and a sitting gesture pressure sensing device, wherein the interactive operation signals comprise command triggers, action completion, help seeking, pause and exit signals, noise reduction is performed during acquisition, and the interactive process data further comprise guiding dependency degree, scene adjustment record and activity interruption reasons.
  6. 6. Intelligent activity interaction equipment of old crowd based on virtual reality, its characterized in that includes: the information acquisition module is used for acquiring health basic information, activity preference information and using proficiency information of the virtual reality equipment of the old user to generate a user basic portrait; The activity screening module is connected with the information acquisition module and used for constructing a multi-dimensional suitability constraint condition based on the health basic information, and screening a preset virtual activity resource library by combining a user basic portrait to generate a candidate activity item set with a labeling suitability grade; The scene construction module is connected with the activity screening module and used for constructing an immersive virtual scene configured with the interaction guide module, the safety protection module and the auxiliary adjustment module according to the candidate activity item set, and has a scene suitability pre-detection function; The interaction processing module is connected with the scene construction module and is used for establishing interaction connection between a user and a virtual scene, receiving interaction operation signals through multi-mode interaction equipment, and synchronously recording interaction process data in real time after noise reduction processing is carried out on the signals; The dynamic adaptation module is connected with the interaction processing module and is used for generating a multi-dimensional activity effect evaluation report based on the interaction process data, and adjusting virtual scene parameters, a candidate activity item set and a user basic portrait in combination with the evaluation report to realize dynamic adaptation; and the power management module is used for providing stable power supply for each module and has the functions of low-power early warning and overload protection.
  7. 7. The apparatus according to claim 6, further comprising The data synchronization module is respectively connected with the interaction processing module and the dynamic adaptation module and is used for encrypting and synchronizing the activity records, the health associated data, the activity effect evaluation report and the dynamic adjustment records of the old users to the senior service management platform so as to realize remote monitoring, tracing and management of the activity states of the old groups; The early warning response module is respectively connected with the safety protection module and the data synchronization module and is used for immediately triggering a local acousto-optic prompt when the safety protection module detects abnormal states such as the exceeding of the activity intensity, abnormal operation of a user or equipment failure and the like, and synchronously sending early warning information to the associated nursing staff and the pension service management platform, wherein the early warning information comprises abnormal types, occurrence time, a snapshot of the current physiological state of the user and a latest 5-second interactive operation log; And the information encryption module is used for carrying out encryption processing on the collected user privacy information, the transmission data and the storage data, so that the data safety is ensured.
  8. 8. The device of claim 6, wherein the information acquisition module comprises an interface unit, a questionnaire acquisition unit and a proficiency detection unit, wherein the interface unit is used for establishing a safe data transmission channel with a health file management system, an endowment service platform and a medical institution database to obtain standardized health files in batches, the questionnaire acquisition unit provides a visual questionnaire interface of a drawing and a writing, supports three operation modes of voice reading questionnaire content, voice input answers and manual clicking selection answers, and the proficiency detection unit is used for acquiring operation learning duration, error operation rate and autonomous completion proportion by guiding a user to complete preset basic operation tasks and generating a device using proficiency score.
  9. 9. The device of claim 6, wherein the scene construction module comprises a scene element configuration unit, a collaborative interaction configuration unit, a pre-detection unit and a scene update unit, wherein the scene element configuration unit is used for configuring scene elements in combination with a user growth period and a regional culture background, the collaborative interaction configuration unit is used for configuring a multi-user collaborative interaction module and an identity module, the pre-detection unit is used for checking guiding definition, operation convenience, safety protection integrity and device compatibility of a scene to generate a pre-detection report and an improvement suggestion, and the scene update unit is used for periodically updating virtual scene content and an activity item library according to seasonal changes, holiday subjects, user feedback and latest pension activity requirements to expand activity scene diversity and adaptation range.
  10. 10. A computer readable storage medium, wherein the computer readable storage medium stores a computer program, and when executed by a processor, the computer program implements all the steps of the intelligent activity interaction method for the elderly population based on virtual reality as set forth in any one of claims 1 to 5, including a complete flow of an information acquisition phase, an activity screening phase, a scene construction phase, an interaction execution phase, and a dynamic adaptation phase.

Description

Intelligent activity interaction method, equipment and storage medium for old people based on virtual reality Technical Field The invention relates to the technical field of intelligent care and health information, in particular to an intelligent activity interaction method, intelligent activity interaction equipment and intelligent activity interaction storage medium for old people based on virtual reality. Background Along with the trend of global population aging, how to improve the life quality of the aged population, promote the physical and psychological health of the aged population and delay the function decline has become an important social issue, and the traditional aged well-being activities such as manual, chess and card, collective body building and the like have certain effects, but generally have the following technical problems: Firstly, the adaptability of activity content and individual health condition is poor, potential safety hazards exist, the health condition of the old is complex and various, chronic diseases, sensory function decline, limited limb movement or cognitive impairment and the like are often accompanied, traditional activity schemes are in a 'one-cut' mode, accurate risk assessment, activity intensity and complexity constraint are difficult to carry out according to specific health bases (such as cardiovascular conditions, joint activity degree and eyesight and hearing level) of each old, for example, athletic activities which possibly cause severe emotion fluctuation are arranged for hypertensive old, or actions which contain improper bearing are designed for old after joint operation, health risks can be possibly caused, and the prior art lacks an intelligent screening mechanism which can systematically integrate health data and automatically generate safe activity constraint conditions according to the health data. Secondly, the activity experience lacks continuous personalized optimization, the user viscosity and effect persistence are insufficient, even if the initial activity matches the user interest, static activity content is difficult to adapt to state changes, capacity improvement or new preferences of old users along with participation process, for example, one cognitive impaired old person may encounter difficulty in a certain cognitive game to generate frustration feeling, or the tolerable activity intensity of the old person needs to be adjusted along with rehabilitation process, the existing VR-based old activity system focuses on providing a fixed immersive scene, and lacks the capability of acquiring user behavior data (such as completion degree, error rate, physiological response and interrupt reason) in real time during interaction and dynamically adjusting activity difficulty, scene parameters and even recommended content accordingly, which results in single user experience, difficulty in forming long-term and effective intervention, and incapacity of realizing a personalized growth path of 'more-than-used attention'. Disclosure of Invention The invention aims to provide a virtual reality-based intelligent activity interaction method, equipment and a storage medium for the aged population, so as to solve the problems in the background technology. In order to achieve the purpose, the invention provides the technical scheme that the intelligent activity interaction method for the aged population based on virtual reality comprises the following steps: S1, acquiring health basic information, activity preference information and using proficiency information of virtual reality equipment of an elderly user to form a user basic portrait; S2, activity screening, namely constructing a multidimensional adaptability constraint condition based on health basic information, screening from a preset virtual activity resource library by combining a user basic portrait to generate a candidate activity item set, wherein the candidate activity item comprises social interaction, cognitive exercise, nostalgic experience and light-weight exercise class, and marking the suitability grade; S3, constructing an immersive virtual scene according to the candidate activity items, configuring an interactive guidance, safety protection and auxiliary adjustment module, wherein the interactive guidance adopts a combination mode of voice, vision and step guidance, the safety protection presets intensity, action threshold and an abnormal early warning mechanism, and auxiliary adjustment supports automatic adjustment of scene parameters; s4, interactive execution, namely establishing interactive connection between a user and a virtual scene, receiving an interactive operation signal through an adaptive device, and synchronously recording interactive process data such as operation completion degree, interactive frequency and the like; S5, dynamic adaptation, namely generating an activity effect evaluation report based on the interaction process data, and adjusting virtual scene parameters