Bioinspired kinesthetic system for human-machine interaction

Abstract

Abstract As the most basic and important sense of the human body, kinesthesia has the ability to act and adapt to stimuli. Simulating the kinesthetic process from the level of sensory neurons is an important task toward the emulation of neuromorphic computation, while currently report for artificial kinesthetic system is still not available. Hence, in this work, an artificial kinesthetic system is developed which consists of a single-electrode triboelectric nanogenerator (S-TENG) that can be attached to human skin and a field effect synaptic transistor (FEST). The S-TENG based on PDMS/MXene friction layer exhibits high sensitivity of 0.197\xa0kPa−1 in a low-pressure region (