logo
ResearchBunny Logo
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.

00:00
00:00
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

Related Publications

Explore these studies to deepen your understanding of the subject.

Deep learning-enabled real-time personal handwriting electronic skin with dynamic thermoregulating ability
Engineering and Technology

Deep learning-enabled real-time personal handwriting electronic skin with dynamic thermoregulating ability

S. Xiang, J. Tang, et al.

Deep-learning-based image segmentation integrated with optical microscopy for automatically searching for two-dimensional materials
Engineering and Technology

Deep-learning-based image segmentation integrated with optical microscopy for automatically searching for two-dimensional materials

S. Masubuchi, E. Watanabe, et al.

Deep learning-aided decision support for diagnosis of skin disease across skin tones
Medicine and Health

Deep learning-aided decision support for diagnosis of skin disease across skin tones

M. Groh, O. Badri, et al.

Ultrathin crystalline-silicon-based strain gauges with deep learning algorithms for silent speech interfaces
Engineering and Technology

Ultrathin crystalline-silicon-based strain gauges with deep learning algorithms for silent speech interfaces

T. Kim, Y. Shin, et al.

Listen, Learn & Level Up
Over 10,000 hours of research content in 25+ fields, available in 12+ languages.
No more digging through PDFs, just hit play and absorb the world's latest research in your language, on your time.
listen to research audio papers with researchbunny