Live Demonstration: Prosthesis Grip Force Modulation Using Neuromorphic Tactile Sensing

This is a live demonstration of the work described in [1]. The paper ID of this submission is 1634. The goal of this work is to use a neuromorphic model for providing tactile feedback to a prosthetic hand to improve grasping functionality. Custom force sensors are placed on the fingertips of a bebionc3 (Steeper, Leeds, UK) prosthetic hand and communicate with the prosthesis controller (Infinite Biomedical Technologies, Baltimore, USA). The prosthesis grip force is used as the input to a leaky integrate and fire (LIF) with spike rate adaption neuron model to produce a tactile signal represented by spiking information, which is similar to the behavior of mechanoreceptors found in humans. The prosthesis controller uses the spiking information to modulate the grip force and allow the hand to grasp a delicate object.