A Strain-Sensitive Flexible MoTe<sub>2</sub>-Based Memristor for Gesture Recognition
Bowen Chen, Jiaping Yao, Jian Xia, Rui Yang, Xiangshui Miao
Abstract
Conventional flexible electronics suffer from complex fabrication processes and great energy consumption due to the separated tactile sensors, storage devices, and processing units. In-sensor computing based on multifunctional devices allows efficient computation by directly sensing and processing signals and is considered an effective way to achieve text large-scale integration and low-power devices in the future. Herein, a strain-sensitive multifunctional memristor is prepared based on MoTe2. The device shows good retention (>105 s) and switching stability (>500 cycles). The neuromorphic computing capability of the device was verified using a gesture recognition task with accuracy reaches above 70% even at 50% background noise. The present results demonstrate the attractive multifunction integrated behaviors of MoTe2 devices, opening a new avenue for designing artificially intelligent electronic skins.