A hand gesture recognition and real-time control system for wearable soft robotic hands

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Authors: Zhongshun Rao
Cited by: 0

Abstract

This paper presents the design, implementation, and validation of a wearable soft robotic system that integrates a sensorized glove with a pneumatically actuated single-finger soft actuator for intuitive human–machine interaction. The glove is embedded with a flex sensor and a flexible pressure sensor to capture finger bending and pressing intent, which are processed through a signal conditioning pipeline and subsequently mapped to actuator commands. A real-time closed-loop control algorithm regulates internal air pressure based on an empirically derived pressure–angle relationship, ensuring precise and stable finger actuation. Although currently limited to a single actuator, the system successfully performs basic grasping tasks.

Fields of Study & Subjects

Soft Robotics and Applications Hand Gesture Recognition Systems Prosthetics and Rehabilitation Robotics

Publication details

Journal / source
International Conference on Mechanical Engineering and Materials (ICMEM)
Pages
99–99
Publication date
15 February 2026
Language
EN