We are pleased to announce that our paper,  “Development of a Sensor Suit for Gait Environment Detection Using Noncontact Sensors and Integrated Model” has been published in the IEEE Transactions on Mechatronics (TMECH).

This study presents a noncontact wearable sensor suit that classifies various walking environments by integrating capacitive stretch and pneumatic mechanomyography (pMMG) sensors. The proposed system achieved 96.1% intrasubject and 91.0% intersubject classification accuracy, outperforming traditional sEMG-based systems (94.0% and 76.4%, respectively), demonstrating its strong potential for wearable robotics and gait assistance applications.

Authors: Junhwan Choi , Jirou Feng , Junhwi Cho and  Jung Kim

Read the full article here: https://ieeexplore.ieee.org/abstract/document/10947099