Sund IT Design

Purpose:

This project aims to build an AI‑enabled XR framework for collecting EMG‑based gesture data and developing machine‑learning models capable of accurate, continuous gesture recognition. By integrating these models into Unity as an abstract input device, the project supports advanced human‑machine interaction without external controllers. The outcome will contribute to more intuitive XR interfaces and provide the basis for controlling prosthetic robotic hands through natural muscle signals.

Contact Information:

Strahinja Dosen, Neurorehab Systems at the HST department

Hendrik Knoche, Human-machine-interaction group at the AD:MT department