Gesture Recognition Based on a Convolutional Neural Network-Bidirectional Long Short-Term Memory Network for a Wearable Wrist Sensor with Multi-Walled Carbon Nanotube/Cotton Fabric Material.

ABSTRACT: Flexible pressure sensors play a crucial role in detecting human motion and facilitating human-computer interaction. In this paper, a type of flexible pressure sensor unit with high sensitivity (2.242 kPa^-1), fast response time (80 ms), and remarkable stability (1000 cycles) is proposed and fabricated by the multi-walled carbon nanotube (MWCNT)/cotton fabric (CF) material based on a dip-coating method. Six flexible pressure sensor units are integrated into a flexible wristband and made into a wearable and portable wrist sensor with favorable stability. Then, seven wrist gestures (Gesture Group #1), five letter gestures (Gesture Group #2), and eight sign language gestures (Gesture Group #3) are performed by wearing the wrist sensor, and the corresponding time sequence signals of

SUBMITTER: Song Y 

PROVIDER: S-EPMC10890478 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature