Noraxon
About
About Noraxon
Noraxon develops instruments and software for measuring how people move and generate force. Ultium EMG records muscle activity at up to 4,000 samples per second and combines each wireless sensor with an inertial measurement unit. Ultium Motion uses wearable sensors to capture joint angles, trajectories, acceleration and full-body kinematics outside an optical laboratory, while force plates, pressure systems and synchronised video add ground-reaction and contact data.
MR4 software time-aligns these streams, visualises them on anatomical models and produces metrics for gait, ergonomics, rehabilitation and performance analysis. SmartLead interfaces add force, goniometer, foot-contact, respiration and other measurements to the EMG network, and analogue outputs connect external control or acquisition systems. Robotics teams can use this stack to quantify human intent and movement, construct training datasets, evaluate exoskeleton or cobot interactions and calibrate human-facing control systems. Noraxon supplies complete laboratory and portable configurations with integration, analysis and support tools.
Timeline
Events
- 2025-06-19 - Capability - Noraxon publishes robotics use cases for human-motion measurement systems
Noraxon connects synchronized EMG, inertial motion capture, force, pressure and video measurements through its biomechanics platform. The published robotics use cases apply human-motion and muscle-signal data to exosuits, humanoid robots and collaborative systems. The workflow supports simulation, modelling, validation and optimization of robotic behavior.
Source
Context
Comparable profiles
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Shared workflows
- Innodata
workflow adjacency - Human Motion Data Capture
- NC AI
workflow adjacency - Human Motion Data Capture
- Oxford Metrics
workflow adjacency - Human Motion Data Capture
Context tags
- Human motion data capture - Workflow - Human movement, biomechanics or demonstration data capture for robot development.
- Embodied data capture - Stack Layer - Hardware or workflows for collecting embodied-AI training data.
- Motion capture systems - Capability - Optical and wearable motion-capture systems used for robotics data capture and validation.
- Robot validation infrastructure - Stack Layer - Tools for measuring, validating and debugging robot systems.