Project HUMNI

Innovative neural HUman-Machine Interface

About the project

Human-machine interfaces are pivotal to the digital transformation, shaping how humans interact with and control technology in increasingly complex and interconnected environments. To broaden the applicability of neural human-machine interfaces, our project focuses on developing non-invasive systems that decode the neural code of movement at the muscle level using surface electrodes.

The research project is structured into two independent tasks. First, we will validate a method for identifying the dimensionality of neural control signals through realistic simulations of electromyographic (EMG) signals, leveraging the concept of myoelectrical digital twin developed by a member of our team. Second, we will develop a demonstrator that uses a simple EMG sensor to record muscle activity and control a virtual hand, fostering public engagement with this research field.