Cognitive-Based Augmented Reality Workout Adaptation
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Solution Overview
Problem
Conventional augmented reality workout applications lack dynamic customization based on a user's cognitive state, relying on pre-defined rules and failing to adapt to real-time changes in user circumstances, such as stress levels, which can impact the effectiveness and motivation during workouts.
Innovation Solution
A system that determines a user's cognitive state through sensors and generates a customized augmented reality workout by integrating virtual components with real-world surroundings, dynamically modifying the workout in real-time based on the user's cognitive state, personality traits, and historical data to enhance motivation and workout effectiveness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If pre-defined rules and formulas are used for augmented reality workouts, then the system is simple to implement, but the adaptability to user cognitive state changes is poor
Solution Approach 1:
The patent implements dynamic workout generation that adapts to real-time cognitive state changes. The system transitions from static pre-defined rules to dynamic rule generation based on monitored cognitive parameters, allowing the workout program to automatically adjust intensity, type, and duration according to the user's current cognitive condition
Solution Approach 2:
The system incorporates continuous feedback loops where cognitive state is monitored through sensors and physiological measurements, and this feedback is used to adjust the workout program in real-time. The closed-loop control enables the system to respond to cognitive state changes and modify workout parameters accordingly
2Ease of operation
If cognitive state monitoring and dynamic customization are implemented, then workout personalization is improved, but the device complexity increases
Solution Approach 1:
The system automatically monitors cognitive state, analyzes the data, and generates personalized workout programs without requiring manual user input or configuration. The automated rule generation and workout customization reduce the operational burden on users while maintaining high personalization levels
Solution Approach 2:
The system pre-establishes multiple workout templates and rule sets that can be automatically selected and combined based on cognitive state. This preliminary preparation of workout options enables quick adaptation without complex real-time decision-making processes
3Productivity
If real-time cognitive state monitoring is performed, then workout effectiveness is improved, but the use of energy increases
Solution Approach 1:
The system implements periodic sampling of cognitive state parameters rather than continuous monitoring. By measuring cognitive indicators at regular intervals and using these periodic measurements to adjust workout intensity, the system maintains effectiveness while reducing overall energy consumption compared to continuous real-time monitoring
Data Source
AI summary
A method, a computer program product, and a computer system determine a customized augmented reality workout based on a cognitive state of a user. The method includes determining a current cognitive score of the user based on physical descriptions. The method includes determining the cognitive state of the user based on the current cognitive score. The cognitive state is indicative of a stress level being experienced by the user. The method includes determining the customized augmented reality workout from a plurality of augmented reality workouts based on the cognitive state of the user. The method includes generating the customized augmented reality workout to include at least one virtual component and incorporating at least one feature of real world surroundings. The method includes presenting the customized augmented reality workout to the user via an augmented reality device worn by the user.