Exercise Recommendation Engine for Personalized Fitness Guidance
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Solution Overview
Problem
Individuals face challenges in obtaining personalized exercise recommendations due to the limitations of existing health and fitness devices, which lack the customized support and advice provided by personal trainers.
Innovation Solution
A computer-implemented method and system that utilize a classification model based on user interactions with exercise machines and fitness-related data to provide customized exercise recommendations tailored to individual user profiles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If health and fitness devices are used to track health progress, then some feedback is provided, but the level of customized support and advice is limited compared to personal trainers
Solution Approach 1:
The patent introduces an exercise recommendation engine as an intermediary between exercise machines and users. This engine processes exercise data collected from multiple machines and generates personalized recommendations, effectively mediating the gap between simple tracking devices and the need for customized training advice that would otherwise require a human personal trainer.
Solution Approach 2:
The system enables users to receive automated, personalized exercise recommendations without requiring human intervention. The recommendation engine analyzes user data and independently generates customized exercise plans, allowing users to benefit from expert-level personalization through self-service automation rather than requiring expensive human trainers.
2Loss of information
If exercise machines provide exercise feedback during sessions, then real-time information is available, but the feedback is often transitory or underutilized
Solution Approach 1:
The patent implements a comprehensive feedback system where the recommendation engine continuously monitors exercise data from multiple machines, analyzes progress against goals, and provides ongoing personalized recommendations. This creates a closed-loop feedback system that transforms transitory momentary feedback into sustained, actionable long-term guidance that users can utilize throughout their fitness journey.
Solution Approach 2:
The system performs preliminary analysis of exercise data to generate predictions and recommendations before users need them. By proactively analyzing patterns in the collected data and preparing personalized recommendations in advance, the system ensures that actionable insights are available when users need them, rather than losing the value of collected data.
3Ease of operation
If a personal trainer or health coach is utilized, then excellent resource for achieving fitness goals is provided, but the costs are prohibitive for many people
Solution Approach 1:
The patent creates a digital copy of personal trainer functionality through the recommendation engine. By replicating the data analysis, progress tracking, and personalized recommendation capabilities of human trainers in software form, the system provides equivalent fitness guidance quality at a fraction of the cost, making professional-level personalization accessible to a much broader population.
Solution Approach 2:
The system replaces expensive human trainers with automated self-service technology. Users interact with the recommendation engine through their exercise machines and receive personalized guidance without requiring human intervention, eliminating the high labor costs associated with personal trainers while maintaining comprehensive fitness support.
Data Source
AI summary
A classification model is generated based on historical exercise information. User exercise information is classified into an exercise category using the classification model. Recommendations based on the exercise category is identified. A customized exercise recommendation is determined from the identified recommendations based on a comparison of the user exercise information and expected progress data. This customized recommendation is provided to a user device for consumption.