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Shape-position perceptive fusion electronic skin with autonomous learning for gesture interaction

Engineering and Technology

Shape-position perceptive fusion electronic skin with autonomous learning for gesture interaction

Q. Wang, M. Li, et al.

Dive into the groundbreaking research by Qian Wang, Mingming Li, Pingping Guo, Liang Gao, Ling Weng, and Wenmei Huang as they unveil a perceptive fusion electronic skin (PFES) that enhances gesture interaction through innovative technology. This dynamic system combines curvature and magnetism to revolutionize human-machine interaction with seamless gesture recognition and haptic feedback.

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Playback language: English
Abstract
This paper introduces a perceptive fusion electronic skin (PFES) for gesture interaction. The PFES uses a bioinspired hierarchical structure and a magnetostrictive alloy film to sense both curvature (joint shape) and magnetism (joint position). A reinforced knowledge distillation method enables autonomous selection of knowledge relevant to user hand movements, allowing for model compression and deployment on wearable devices. The PFES fuses curvature and magnetism information for gesture recognition and haptic feedback, facilitating human-machine interaction.
Publisher
Microsystems & Nanoengineering
Published On
Authors
Qian Wang, Mingming Li, Pingping Guo, Liang Gao, Ling Weng, Wenmei Huang
Tags
perceptive fusion electronic skin
gesture interaction
haptic feedback
curvature sensing
magnetism
knowledge distillation
wearable devices

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