Exercise Coaching Robot With Dynamic Posture Feedback
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Solution Overview
Problem
Current technologies lack effective methods for a robot to monitor and provide real-time feedback on user posture during exercise routines, limiting personalized training experiences.
Innovation Solution
A robot system that detects user presence, captures images of the user's posture, and uses machine learning to compare against virtual models, providing feedback to correct or improve posture through dynamic positioning and feedback generation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the robot uses machine learning techniques to compare models and provide detailed posture feedback, then the measurement precision and reliability of posture monitoring is improved, but the device complexity and computational resources required increase
Solution Approach 1:
The patent introduces virtual models as intermediaries between the captured user posture and the feedback mechanism. These pre-defined virtual models representing correct postures serve as a reference standard, allowing the system to compare actual user posture against ideal forms without requiring extremely complex real-time analysis algorithms. The virtual models act as a mediator that simplifies the comparison process while maintaining high measurement precision.
Solution Approach 2:
The system performs preliminary action by pre-defining virtual models of correct postures before the actual exercise routine begins. These virtual models are prepared in advance and stored in the system, allowing for efficient real-time comparison during exercise execution. This preliminary preparation reduces the computational complexity during actual use, as the system only needs to compare against pre-established references rather than generating complex evaluation criteria on the fly.
2Measurement precision
If the robot moves into multiple positions to capture comprehensive images of user posture, then the measurement precision and completeness of posture data is improved, but the time required for monitoring and the device complexity increase
Solution Approach 1:
The robot employs dynamic positioning capabilities, moving to different locations around the user during the exercise routine to capture postures from multiple angles and perspectives. This dynamic approach allows comprehensive posture monitoring without requiring a fixed complex multi-camera setup. The robot adapts its position based on the exercise type and user location, optimizing capture completeness while managing time efficiency through intelligent movement planning.
3Productivity
If the robot provides real-time feedback during exercise routine, then the effectiveness of personalized training is improved, but the device complexity and processing requirements increase
Solution Approach 1:
The system implements a feedback mechanism where the robot compares the user's actual posture against pre-defined virtual models of correct postures and provides real-time guidance. This feedback loop enables personalized training effectiveness by continuously monitoring and correcting user form. The feedback is generated through systematic comparison processes that identify deviations from ideal postures and communicate corrections to the user, creating an effective personal training experience without requiring overly complex real-time generation algorithms.
Data Source
AI summary
Methods and systems for using a robot to provide feedback to a user when the user is engaged in a physical activity includes detecting presence of the user in a geo-location. The user is identified and associated with the robot. User activity in the geo-location is monitored and when the robot detects the user is performing an exercise from an exercise routine, the robot is positioned to one or more positions proximate to the user so as to capture image of a posture held by the user while performing the exercise. The captured image is analyzed and feedback provided to the user to allow the user to improve their posture.