Skip to content

Latest commit

 

History

History
59 lines (41 loc) · 3.52 KB

Vision.md

File metadata and controls

59 lines (41 loc) · 3.52 KB

OpenSkiAI: Democratizing Ski Racing with AI

Introduction

Ski racing has long been an elite sport, limited by high costs and geographic barriers. OpenSkiAI aims to change this by leveraging LiDAR technology and AI-driven motion analysis to provide real-time coaching and performance feedback. This project is an open-source framework to make skiing—and eventually other sports—more accessible to everyone.

The Evolution of the Idea: LiDAR and Real-Time Feedback

Initially, the project focused on capturing and analyzing video data to improve skiing performance. However, through deeper exploration, we’ve realized that LiDAR technology presents a revolutionary alternative:

Why LiDAR?

  • Efficient Data Capture: LiDAR focuses on skeletal movement and depth mapping rather than recording heavy video files. This drastically reduces the data load while preserving critical information about body position and movement.
  • Real-Time Feedback: AI can process LiDAR data instantly, allowing athletes to receive actionable coaching during performance—for example, "Lean forward" or "Adjust your arm position."
  • Privacy-Friendly: Unlike video, LiDAR captures abstracted motion data (points and lines), ensuring user identity remains private.

How It Works

LiDAR technology, integrated with AI, provides:

  1. Depth Sensing: Captures a 3D skeletal model of the athlete in real-time.
  2. Motion Analysis: AI algorithms analyze body alignment, balance, and technique.
  3. Instant Feedback: Suggestions and corrections are delivered via audio prompts or an app interface.

This innovation enhances accessibility by removing the need for costly cameras or extensive storage infrastructure.

Scaling Beyond Skiing

While the pilot focuses on skiing, LiDAR’s potential extends to virtually any sport or physical activity. This technology can transform how people learn and improve across disciplines:

  • Cycling: Optimize pedaling cadence and body posture.
  • Yoga: Correct poses in real-time to prevent injury and improve form.
  • Running: Enhance stride length, balance, and impact reduction.
  • Golf and Tennis: Refine swing mechanics and increase precision.
  • Martial Arts and Dance: Analyze fluidity, technique, and balance.

LiDAR-driven AI analysis minimizes barriers, making high-quality coaching accessible to anyone with a smartphone or affordable sensor.

Why Open Source Matters

  1. Prevent Corporatization: By documenting and licensing this concept openly, we ensure the technology remains accessible to all.
  2. Collaborative Innovation: Open source fosters community contributions to refine and expand the framework.
  3. Universal Accessibility: Low-cost, efficient technology benefits communities and individuals worldwide.

Join the Movement

This is more than a project—it’s a call to action. Whether you’re a developer, athlete, or enthusiast, contribute to OpenSkiAI and help redefine accessibility and inclusion in sports.

Next Steps

  1. Build the skiing pilot using LiDAR and skeletal tracking libraries.
  2. Document findings and progress in the repository.
  3. Collaborate with the community to expand to other sports and activities.

This updated README builds naturally from the initial idea, expanding into the revelation about LiDAR and its transformative potential. It maintains a flow that evolves logically while keeping everything in one place.

Would you like help tweaking this further or directly adding it to your GitHub repository?