Deep Learning Assisted Body Area Triboelectric Hydrogel Sensor Network for Infant Care (Adv. Funct. Mater. 35/2022)

Abstract

Triboelectric Hydrogel Sensor Networks In article number 2204803, Hulin Zhang, Jun Chen, and co-workers construct a body area sensor network based on edible triboelectric hydrogel sensors, which can realize the recognition of multiple motion patterns of infants with the assistance of deep learning algorithms. Moreover, an application is also developed to wirelessly transmit the motion signals to a mobile phone, providing a promising paradigm for infant care.