Detecting wrist and hand strain before you even feel it

Our system captures real-time wrist and hand data, analyzes posture angles, and delivers instant ergonomic feedback to help prevent strain and injury.

First iteration of our sensor

Leap Motion Sensor

The Leap Motion sensor captures precise 3D data of the user's hand and wrist movements in real time. Using infrared cameras and motion tracking algorithms, it monitors posture at over 100 frames per second. This allows our system to detect wrist angles, hand positioning, and ergonomic risks instantly and non-invasively.

Real-Time Hand Tracking via Leap

Our system captures and visualizes hand and finger movements in real time using the Leap Motion Controller. As users type or position their hands, the sensor tracks joint positions and renders a 3D skeletal model at 120 frames per second—laying the foundation for precise ergonomic diagnostics.

Working Data

Our system processes the raw data from the Leap Motion sensor to extract meaningful information about hand and wrist movements. This includes tracking joint angles, hand positions, and other relevant metrics that help us assess ergonomic risks.