What question did this study set out to answer?

This research aims to develop a robust hydrogel strain sensor for recognizing human motion and controlling devices.

May 10, 2026ACS Applied Materials & Interfaces3 citations

Mechanically Robust Hydrogel Strain Sensor Enabled by a Multicross-Linked Electrospun-Fiber Network for Human Motion Recognition and Interactive Control

HYHe YuShandong University TDTianyi DuanBeijing University of Posts and Telecommunications YLYing LiuShenyang Pharmaceutical University

Key Points

This research aims to develop a robust hydrogel strain sensor for recognizing human motion and controlling devices.
Developed hydrogel strain sensor using a multicross-linked electrospun-fiber network.
Integrated multiple sensors into a smart glove for gesture recognition.
Applied deep learning algorithms for controlling virtual games and a robotic dog.
Achieved a gauge factor of 10.8 for high sensitivity.
Demonstrated precise recognition of multiple hand gestures.
Enabled effective control of virtual games and a robotic dog.

Abstract

) and high sensitivity (gauge factor of 10.8), along with negligible pressure interference. By integrating five sensors into a smart glove and incorporating deep learning algorithms, we realized accurate recognition of multiple hand gestures as well as precise control of virtual games and a robotic dog. This work provides valuable insights for the rational design and development of mechanically robust and highly conductive hydrogels toward broad practical applications.

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