Motion Evaluation System with Busy-Level Adaptation
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Solution Overview
Problem
Existing motion evaluation systems fail to provide timely and intuitive feedback on improving motions to individuals in motion, leading to ineffective information delivery and limited understanding of necessary improvements.
Innovation Solution
A motion evaluation system comprising a communication device, storage device, and arithmetic device that observes user motion via sensors, determines the state of motion, specifies improvements, and outputs tailored information based on busy levels and predetermined rules, using features like acceleration sensors and neural networks to extract and present improvement suggestions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If information is presented after a series of tasks or training, then the information can be processed and delivered, but the user cannot intuitively recognize at what point of the motion the information suggests improvement
Solution Approach 1:
The system performs preliminary action by providing feedback information at the appropriate timing during or immediately after the specific motion state occurs, rather than waiting until after a series of tasks are completed. This allows the user to recognize and understand the improvement point in real-time, resolving the contradiction between information delivery effectiveness and timing.
2Loss of time
If information is presented during motion, then timely feedback can be provided, but the user's busy level may prevent full understanding of the information
Solution Approach 1:
The system applies dynamics by adaptively adjusting the information presentation strategy based on the detected busy level. When the user is in a high busy level state, the system provides concise feedback; when the busy level decreases, it provides more detailed information. This dynamic adaptation resolves the contradiction between timely feedback and user understanding.
3Loss of information
If detailed improvement information is provided continuously, then comprehensive feedback is given, but it creates information overload during high busy levels
Solution Approach 1:
The system changes the parameter of information quantity and detail level based on the user's busy level state. During high busy levels, it reduces information quantity to avoid overload; during lower busy levels, it increases information completeness. This parameter adjustment resolves the contradiction between information completeness and avoiding information overload.
Data Source
AI summary
To be capable of efficiently transmitting appropriate information on the motion improvement to a person in motion. A motion evaluation system includes a sensor unit, an information processing device, and an information presentation device. The information processing device includes a communication device, a storage device, and an arithmetic device. The arithmetic device acquires motion data acquired by observing a user through the use of a sensor via the communication device, checks the motion data against information about the correctness of motions in the reference information, determines a state of motion of the user, specifies a motion in a state to be improved as an improvement, check the motion data after the motion corresponding to the improvement against information about busy levels of the user to specify a busy level of the user, and outputs, as improvement suggestion information about the improvement, information with different contents at each of multiple times to an information presentation device based on the improvement and a rule predetermined according to each situation of the busy level.