Building a Zero-Server 3D Pickleball Biomechanics & MediaPipe Pose Coach on the Edge

Описание и применение

Создан клиент‑сайд 3D‑коучинг для пикабола, использующий MediaPipe Pose в WebAssembly/WebGL, обеспечивающий мгновенную диагностику ошибок без серверных GPU.

Задача

Recreational Pickleball players struggle with popping up balls at the Non‑Volley Zone and develop Pickleball Elbow due to biomechanical faults such as wrist snapping instead of a kinetic chain.

Результат

The zero‑server architecture delivers real‑time biomechanical analysis and fault diagnostics in the browser, eliminating cloud latency and privacy concerns while enabling interactive 3D coaching.

Рабочий процесс

• Upload or stream 60fps video or webcam
• Run MediaPipe Pose Landmarker via WebAssembly + WebGL to extract 33 3D skeletal landmarks
• Compute 3D joint angles (e.g., elbow flexion) using dot‑product formula
• Apply biomechanical thresholds for each shot technique
• Display real‑time fault diagnostics and 3D court trajectory comparison

Доказательства

Instead of relying on static 2D coaching videos or uploading private user videos to expensive cloud GPU servers, our engineering team built PickleBase — a client‑side 3D Pickleball biomechanics simulator, interactive tactical board, and MediaPipe Pose WebGL video analyzer backed by an open-standard Model Context Protocol (MCP) server at the edge.

Источник

By running MediaPipe Pose Landmarker directly in the browser via WebAssembly and WebGL delegates, we extract 33 3D skeletal landmarks at real‑time frame rates with zero server GPU cost

Источник

In our standardized 12-technique dataset published on CERN Zenodo (#23582848) and Hugging Face Datasets, each shot is decomposed into four deterministic phases

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