Wearable Sensor System for Real-Time Motion Guidance
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Solution Overview
Problem
Existing instruction systems face challenges in effectively communicating and guiding subjects to achieve precise body positions and motions, particularly due to limitations in shared terminology, understanding of anatomical references, and the availability of real-time adaptive feedback, especially in situations requiring immediate instruction like CPR or first aid.
Innovation Solution
A system comprising a processor, sensor, and visual display that establishes world data for actual positions and motions, sets target data for desired positions and motions, and outputs guide data to help align with the target, using sensors like imagers, depth sensors, and motion sensors, and displays like LED or OLED, which can be worn by the subject for real-time feedback.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If demonstration of positions and motions is provided through photographs or videos, then visual reference is improved, but user understanding and transfer to first-person motion remains limited
Solution Approach 1:
The system provides real-time feedback by capturing the user's actual position and motion data through sensors, comparing it to the demonstrated position and motion, and providing immediate guidance on deviations. This closed-loop feedback system enables users to continuously adjust their movements to match the target demonstration, overcoming the limitation of static visual references.
Solution Approach 2:
The patent replaces traditional mechanical instruction methods (photographs, videos, physical demonstrations) with an electronic sensor-based system that uses cameras, depth sensors, and motion sensors to capture and analyze user movements. This substitution enables automated, objective measurement and feedback without requiring physical presence of instructors.
2Ease of operation
If real-time feedback is provided to guide user performance, then learning effectiveness is improved, but availability is limited by instructor presence
Solution Approach 1:
The system enables self-service learning by providing automated feedback without requiring instructor intervention. Sensors capture user motion, processors analyze deviations from target positions and motions, and the system generates guidance instructions autonomously. This allows users to receive personalized feedback anytime, anywhere, eliminating dependency on instructor availability.
Solution Approach 2:
The patent introduces an intermediary automated system that mediates between the user and the instruction content. Rather than direct instructor-to-student interaction, the sensor-processing-display system acts as an intermediary that objectively measures performance, compares it to target criteria, and provides standardized feedback, making instruction scalable and universally available.
3Measurement precision
If detailed anatomical terminology is used in instructions, then precision of instruction is improved, but user comprehension decreases for those lacking anatomical knowledge
Solution Approach 1:
The system segments the complex instruction into multiple representational layers: precise sensor data for measurement, visual overlays showing actual versus target position, and simplified textual guidance. This segmentation allows the system to maintain high measurement precision while presenting information in comprehensible formats tailored to user needs.
Solution Approach 2:
The patent dynamically changes the parameters of instruction presentation based on user performance and context. The system adjusts the level of detail, type of feedback (visual, auditory, textual), and complexity of guidance based on real-time analysis, allowing the same system to serve both beginners needing simple guidance and advanced users requiring precise feedback.
Data Source
AI summary
World data is established, including real-world position and/or real-world motion of an entity. Target data is established, including planned or ideal position and/or motion for the entity. Guide data is established, including information for guiding a person or other subject in bringing world data into match with target data. The guide data is outputted to the subject as virtual and/or augmented reality data. Evaluation data may be established, including a comparison of world data with target data. World data, target data, guide data, and/or evaluation data may be dynamically updated. Subjects may be instructed in positions and motions by using guide data to bring world data into match with target data, and by receiving evaluation data. Instruction includes physical therapy, sports, recreation, medical treatment, fabrication, diagnostics, repair of mechanical systems, etc.