Running Form Guidance Using Timed Personalized Voice Feedback
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Solution Overview
Problem
Existing exercise guidance systems fail to provide personalized and comprehensive feedback on running form, lacking the ability to adapt to individual user knowledge levels and conditions.
Innovation Solution
An exercise guidance system comprising a motion sensor device, smartphone, and wireless earphone that analyze running form through sensors, determine user knowledge levels, and provide tailored guidance content via voice feedback at specific stages of the exercise, including check, learning, drill, and test parts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional running determination devices detect acceleration to evaluate running form, then basic movement detection is achieved, but personalized and comprehensive feedback on running form cannot be provided
Solution Approach 1:
The guidance content is segmented into multiple distinct parts (first guidance content and second guidance content) that are provided at different timings. The first guidance content delivers basic exercise instructions, while the second guidance content provides personalized feedback based on detected form indicator values. This segmentation allows the system to offer comprehensive personalized feedback without overwhelming the user with information all at once.
Solution Approach 2:
The system performs preliminary detection of form indicator values during the exercise execution phase before providing the second guidance content. By detecting and analyzing the user's running form in advance, the system can prepare personalized feedback that is then delivered at the appropriate guidance timing, ensuring that the feedback is both timely and personalized to the user's actual performance.
2Loss of information
If guidance content is provided continuously during exercise, then comprehensive feedback is achieved, but user understanding and information processing becomes overwhelmed
Solution Approach 1:
The guidance content is divided into distinct segments: first guidance content providing basic exercise instructions and second guidance content providing personalized feedback based on detected form indicators. This segmentation ensures that comprehensive information is delivered in manageable portions, preventing user overwhelm while maintaining feedback completeness.
Solution Approach 2:
The system implements a feedback mechanism where the second guidance content is specifically tailored based on the detected form indicator values from the user's exercise performance. This feedback principle ensures that personalized information is provided only when relevant data is available, maintaining both completeness and comprehensibility by linking feedback directly to observed performance metrics.
3Measurement precision
If form indicator detection is performed throughout exercise, then accurate running form analysis is achieved, but real-time personalized guidance during exercise cannot be provided
Solution Approach 1:
The system performs preliminary detection and analysis of form indicator values during the exercise execution phase, before the guidance phase. This preliminary action allows the system to accumulate accurate measurement data without delaying the delivery of personalized feedback, as the detection and analysis are integrated into the natural flow of exercise execution rather than being separate post-processing steps.
Solution Approach 2:
The feedback mechanism is designed to deliver the second guidance content at specific guidance timings that are synchronized with the exercise structure. By using the detected form indicator values to trigger relevant feedback at appropriate moments, the system maintains both measurement precision and timely guidance delivery, ensuring that accurate form analysis translates into actionable real-time feedback.
Data Source
AI summary
An exercise guidance device includes a memory that stores a program and at least one processor that executes the program. The processor obtains a guidance content pertaining to a predetermined form indicator from among guidance contents about a movement of a body of a user in exercise. The processor obtains a form indicator value pertaining to the predetermined form indicator, the form indicator value being due to the movement of the body of the user who is doing the exercise. The processor provides the obtained guidance content to the user who is doing the exercise, by performing, with respect to each guidance timing during the exercise, a series of processes of providing a first guidance content corresponding to the each guidance timing and providing a second guidance content corresponding to a result of the form indicator value that the processor obtains while providing the first guidance content, in order named.