Bionic Hand Motion Control Method Based on Imitation of Human Hand Movements and Reinforcement Learning

Incorporating Machine Learning Strategies to Smart Gloves Enabled by Dual-Network Hydrogels for Multitask Control and User Identification

“…Because of the salient merits of electronic skin (e-skin) such as high sensitivity, mechanical flexibility, and wearable characteristics, it has received a burgeoning amount of interest in areas ranging from wearable human health monitoring − to smart home − and human–machine interactions. − As a typical application of e-skin, the smart glove is a system that combines an e-skin and a glove, which can integrate the control of multiple devices and bring great convenience to human daily life. − For example, Lee and co-workers successfully achieved control of an unmanned aircraft by deploying capacitive textile pressure sensors prepared from PDMS-coated conductive fibers on a glove . However, the e-skin they used has low sensitivity and response speed and poor ability to distinguish differences of the same action.…”