2.5D Laser-Cutting-Based Customized Fabrication of Long-Term Wearable Textile sEMG Sensor: From Design to Intention Recognition

• Published in: IEEE robotics and automation letters Vol. 7; no. 4; pp. 10367 - 10374
• Main Authors: Jeong, Hwayeong, Feng, Jirou, Kim, Jung
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01.10.2022; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Artificial neural networks; Contact pressure; Customization; Cutting wear; Electrodes; Electromyography; Fabrication; Fabrics; Gesture recognition; Hand (anatomy); Intention recognition; Laser beam cutting; Man-machine interfaces; Performance evaluation; Perspiration; Robot sensing systems; sEMG sensor; Sensors; Signal quality; soft sensors and actuators; wearable robotics; Wearable technology; Wires; Wrist

The surface electromyography(sEMG) sensor is widely used as a human-machine interface in wearable systems. Although numerous studies have applied compact sEMG systems to wearable devices, these are inconvenient and not suitable for long-term use. Herein, we introduce a 2.5D laser cutting method to a...