Fuzzy Logic Exercise Evaluation Using Camera Sensors
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Solution Overview
Problem
Current fitness machines are limited in their ability to provide personalized and effective workout experiences, offering poor customization and limited feedback to users, leading to inefficient and monotonous exercise routines.
Innovation Solution
Integration of intelligent sensors, including camera-based sensors, with fuzzy logic technology to evaluate user performance in real-time, providing personalized feedback and adjusting workout parameters such as speed and resistance to optimize exercise outcomes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual input and basic workout programs are used, then device complexity is reduced, but adaptability and personalization of workout routines deteriorate
Solution Approach 1:
The system automatically collects user data through sensors (heart rate, speed, distance, cadence) and autonomously generates personalized workout programs using fuzzy logic algorithms, eliminating the need for manual program selection and achieving self-personalization
Solution Approach 2:
The patent replaces manual mechanical input methods with automated sensing systems (optical sensors, heart rate monitors) and substitutes basic control logic with intelligent fuzzy logic processing to enable adaptive personalization
2Loss of information
If basic vital information feedback is provided, then device complexity is reduced, but information completeness and user guidance deteriorate
Solution Approach 1:
The system implements multi-level feedback mechanisms that continuously monitor user performance through multiple sensors and provide real-time constructive feedback on form, intensity, and progress, enabling users to self-correct and optimize their workouts
Solution Approach 2:
The feedback system serves multiple functions simultaneously: monitoring performance, evaluating form, providing motivational messaging, and adjusting workout parameters, consolidating what would otherwise require separate systems into one integrated solution
3Measurement precision
If traditional sensing mechanisms are used, then device complexity is reduced, but measurement capability and performance evaluation deteriorate
Solution Approach 1:
The patent combines multiple sensing modalities (optical sensors for form detection, heart rate monitors for intensity tracking, speed/cadence sensors for performance measurement) into an integrated measurement system that comprehensively evaluates exercise performance
Data Source
AI summary
Disclosed herein are techniques and systems for evaluating exercise performance of a user of a fitness system by utilizing one or more intelligent sensors, including at least one camera-based sensor configured to detect image data of the user. The fitness system may include a stationary exercise device, a memory to store personal information about a user, and a processor to generate a set of exercise rules based, at least in part, on the personal information about the user. The fitness system may also include one or more sensors to monitor a physical state of the user, and a fuzzy system to generate an evaluation for the user based, at least in part, on i) the set of rules and ii) output from the one or more sensors. The fitness system may thereby provide real-time, constructive feedback regarding the user's exercise performance based on the sensed data.