Biomechanical Analysis & Open Source Lab

We design and implement free, open-source software for motion analysis, 3D visualization, and motion capture integration. Supporting research labs, universities, and innovative sports-tech companies in processing and analyzing kinematic data.

Book Telerehabilitation See Our Projects (GitHub)
NEW

Online Telerehabilitation

Real-time motion analysis from your home. We utilize advanced Machine Learning models (e.g. YOLOv8) to evaluate Range of Motion and balance without extra sensors.

  • Absolute Privacy: Encrypted E2E sessions via your preferred messenger (Signal, Telegram, WhatsApp, Session, etc.)
  • Zero LLM: No Large Language Models; total analytical data security
  • Flexible Payments: Bank transfer or optional crypto payment (BTC, XMR, USDT) (~25 USD)
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Supported Video Messengers: Signal, Telegram, WhatsApp, FaceTime, Google Meet - Biokineticum

Open-Source Software

Free, modern tools and scripts supporting research on human movement

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Kinesiology Analyzer Center

Python Local AI / RAG

Native desktop application for automated clinical biomechanics PDF/CSV extraction (Biodex, Noraxon EMG/IMUs, Humac, force plates), interactive multi-sensor dataset building, local RAG research, and local LLM fine-tuning. Built for offline-first, GDPR/HIPAA-compliant sports science laboratories.

Source Code (GitHub)
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MotionScope 3D

JavaScript WebGL / Three.js

Web-based 3D motion capture visualizer and analyzer for Biovision Hierarchy (.bvh) files. The application enables smooth skeleton rendering directly in the browser, joint angle calculations, sensor trajectory tracking, and kinematic telemetry data export to CSV files.

Launch App Online
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IMU Strike Diagnostics

Python Open Hardware

Complete hardware blueprint, firmware, and Python script suite for assembling a low-cost, high-scale (up to 200g) inertial measurement unit (IMU). Tailored for combat sports strike diagnostics, capturing linear accelerations and angular velocities.

Schematics & Code (GitHub)
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Web Joint Analyzer

Python MediaPipe / Streamlit

Web application for markerless motion capture and joint angle analysis using a standard webcam or video files. Utilizes artificial intelligence MediaPipe to detect body landmarks and automatically calculates joint angular velocities.

GitHub Repository
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Noraxon Strike Analyzer

Jupyter Notebook EMG & Force Plate

Specialized analytical scripts for segmenting and analyzing data from Noraxon Ultium EMG sensors and AMTI force plates. Filters EMG noise and automatically segments continuous sessions into individual strikes, plotting average force profiles.

Scripts & Data (GitHub)
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PhysioSim Simulator

React Telegram App

Virtual clinical simulator for physiotherapists built as a Telegram Mini App. Enables interactive clinical interviews with virtual patients, orthopedic examination test selection, and diagnostic interpretation.

Launch Simulator (Telegram)

Technical Support & Research Services

We offer expert consultation for laboratory equipment setups and custom code development

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Custom Research Software

We develop custom scripts in Python and Matlab for kinematic signal processing. We build interactive WebGL/Three.js 3D motion viewers integrated with biomechanical models.

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Sensor & MoCap Integration

We help integrate, calibrate, and program wireless IMU sensors, optical and inertial motion capture systems, and force plates.

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Scientific & R&D Consulting

We prepare automated scripts for statistical analysis of laboratory trials, data filtering (noise reduction), and generating standardized research reports.

PhysioSim - Virtual Clinical Simulator
🔥 New: Telegram Mini App

Virtual Clinical Simulator — PhysioSim

Discover an interactive training tool for physiotherapists, available directly within Telegram. Take on the role of a diagnostician, conduct a detailed patient interview, order orthopedic tests (e.g., Lasegue, Phalen, Tinel, or Lachman tests), and analyze imaging results (X-ray, Ultrasound, MRI). Test your clinical reasoning and receive an automatic diagnostic accuracy report.

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dr hab. Dariusz Mosler - biomech & data science

About Us - Bridging Movement Science & Technology

Biokineticum was founded by Dr. hab. Dariusz Mosler, PhD – university lecturer and assistant professor at Jan Dlugosz University in Czestochowa, and a member of the Topical Advisory Panel for the MDPI scientific journal Applied Biosciences and Bioengineering.

Our workshop represents a unique blend of years of clinical and sports biomechanics expertise and practical software engineering (Python, Data Science). We build secure offline software and conduct research to democratize digital human movement analysis.

Learn more about my academic background

Our Analyses & Research on YouTube

On our video channel, we regularly publish practical recordings of our biomechanical research, tutorials on configuring and using motion capture systems (such as wireless inertial IMU sensors), and demonstrations of the motion analysis scripts and algorithms we develop.

See first-hand how we combine biomechanics, mathematics, Python programming, and modern sensor technology.

Subscribe to our YouTube channel

Our Partners

Collaborating with innovators implementing evidence-based solutions

Garrido Sportech Logo

Victor – Garrido Sportech

Victor and his brand, Garrido Sportech, are pioneers in bringing sports into the realm of evidence-based medicine. Their innovative technological solutions enable precise, quantitative biomechanical analysis directly in real-world training environments.

Through our joint projects, we are revolutionizing athletic performance measurement and report automation, converting complex inertial sensor readings into actionable indicators for coaches and clinicians.

Visit Garrido Sportech

From the blog

Evidence-based notes on telerehabilitation, measurement tools, and lab software

Is remote physiotherapy as good as in-person?

What systematic reviews say about PT-led telerehabilitation — and how Biokineticum sessions are built.

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Markerless ROM from a home webcam

YOLOv8 kinematics, encrypted messengers, and the literature on camera-based joint angles.

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PhysioSim clinical simulator

Virtual-patient training for physiotherapy students, with research on simulation education.

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Browse all blog posts →