Athlerse Whitepaper
  • INTRODUCTION
    • Introducing Athlerse
    • Disclaimer
    • Our Vision
    • Target Market & Sectors
    • Existing Problems
    • Product Proposition
    • Why Athlerse?
    • Definitions
  • HOW DOES IT WORK?
    • Top-quality Workouts for Free
    • Get Rewarded for Your Training
    • Extend Fitness Functionality
    • Discover Full Web3 Potential
    • Social Interaction with Athletes
    • Go-to-Market Strategy
  • Technical Aspects of Athlerse
    • Technology Stack
    • Web3 Tech Aspects
    • Blockchain Infrastructure
    • Trackers Integration
  • Athlerse AI Initiatives
    • Athlerse AI Functions
    • Personal Workout Plans
    • Smart AI Workout Analysis
    • Posture Analysis and Correction
    • AI-Powered Predictive Analytics
    • Voice Guidance & Virtual Trainer
    • AI-Powered Nutrition
    • Technical Overview
    • Athlerse AI Summary
  • Tokenomics
    • Tokenomics: Introduction
    • Tokenomics and Valuation
    • GYM Coin
    • $ATHL Token
  • Business Model
    • Product Financials & Monetisation
  • Roadmap
    • Roadmap
  • TEAM & PARTNERS
    • Meet the Core Team
    • Incubators & Partners
  • Use Cases
    • Use Case 1: Fit Mum
    • Use Case 2: 18 Years Old Teenager
    • Use Case 3: Trainer
  • OFFICIAL LINKS
    • Athlerse Website
    • Athlerse for Coaches & Athletes
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  1. Athlerse AI Initiatives

Posture Analysis and Correction

An innovative feature of Athlerse is the incorporation of AI-powered posture analysis and correction during workouts. By leveraging live video stream analysis, potentially from multiple angles, the app will provide real-time feedback on form and technique to ensure exercises are performed safely and effectively. Moreover, to promote healthier workouts and boost user engagement users will also earn bonus GYM points based on their posture correctness during exercising.

The implementation of this feature will begin with the integration of computer vision technology and deep learning models. These models will be trained on a diverse dataset of correctly performed exercises from multiple angles. The more varied the data in terms of body types, fitness levels, and exercise forms, the more accurately the AI can understand and analyze the user's posture.

When a user performs an exercise in view of the camera, the AI compares the user's form and key points with the ideal form for that exercise. The app can then provide immediate feedback if it detects any discrepancies. For instance, if a user's back is not straight during a deadlift, the app will identify this and instruct the user to correct their form.

This real-time feedback not only helps in preventing injuries but also ensures that the user gets the maximum benefit from each exercise by performing it correctly. Over time, this continuous feedback helps users improve their form and technique, which can lead to better workout results and a lower risk of injury.

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Last updated 1 year ago