Open-source force plate for sport science — 1000 Hz, 24-bit, ~$745 USD
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Updated
Jun 10, 2026 - Python
Open-source force plate for sport science — 1000 Hz, 24-bit, ~$745 USD
Biomechanics pipeline for jump-tests (CMJ, Dj, Sj) force-plate analysis with event detection, phase segmentation, performance metrics, visualization export, and synced video review.
Open-source multimodal EEG, EMG, and force plate synchronization and data processing pipeline using Lab Streaming Layer (LSL), MATLAB, Python, and C#.
Open AI skills that help coaches analyze athlete monitoring data correctly
Detects the 15 countermovement-jump events in raw force-plate exports, plus a read-only dataset audit. Python + NumPy; runs on included synthetic data.
Cloud-database athlete monitoring platform: force-plate signal processing, idempotent ingest, ACWR and neuromuscular-fatigue analytics, coach-facing dashboard
Scientific workbench for sports science: a study-centric environment that takes a research question to reproducible, inspectable evidence — frozen analysis plans, immutable runs, computed diagnostics, 1000 Hz force and 3D field+pose viewers, contextual lineage. FastAPI + Next.js, fully local. All rights reserved.
Force-plate postural stability analysis (CoP metrics, confidence ellipse, stiffness, asymmetry) for FMS, single-leg stance, pistol shooting and archery protocols.
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