Visual Workout Tracking System with AI Logging
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Solution Overview
Problem
Current gym-workout applications require excessive manual data entry for logging workouts, which is tedious and inefficient.
Innovation Solution
A system utilizing cameras and wearable sensors that process visual and movement data using AI and machine learning to automatically track and log workout information, providing real-time feedback and recommendations, minimizing manual input.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual data entry is used to log workouts, then workout tracking can be performed, but the process becomes excessively tedious and time-consuming
Solution Approach 1:
The system enables automatic workout logging by having the camera capture images of exercise equipment and using AI to automatically extract workout data, eliminating the need for manual data entry by the user
Solution Approach 2:
The patent replaces the mechanical process of manual data entry with an automated visual recognition system using cameras and machine learning algorithms to capture and process workout information
2Extent of automation
If cameras and AI processing are implemented to automate workout tracking, then manual data entry is minimized, but device complexity increases
Solution Approach 1:
The patent introduces a camera as an intermediary device that captures visual data of exercise equipment, which is then processed by AI algorithms to extract workout information, bridging the gap between the user and the logging system
Solution Approach 2:
The system creates a visual copy of the exercise equipment through camera imaging, which is then analyzed by AI to extract workout parameters, replacing the need for direct manual input
Data Source
AI summary
A system for tracking and logging an athletic workout of a user, the system including at least one camera and at least one computing device running a tracking application. The system provides the user with tailored dialogue, logging, analysis and feedback based on the video, photo or audio information the camera receives from viewing the user and exercise equipment. The computing device includes a module for generating information via various artificial modalities by processing input data. The system may process visual inputs from the user, area, wearable or fitness-related item including their movement, equipment and utilizes machine learning models to analyze and extract relevant information.