Real-Time Hand Gesture Recognition in Clinical Settings: A Low-Power FMCW Radar Integrated Sensor System with Multiple Feature Fusion

Real-Time Hand Gesture Recognition in Clinical Settings: A Low-Power FMCW Radar Integrated Sensor System with Multiple Feature Fusion

Robust and efficient contactless human–machine interaction is critical for integrated sensor systems in clinical settings, demanding low-power solutions adaptable to edge computing platforms. This paper presents a real-time hand gesture recognition system using a low-power Frequency-Modulated Contin...

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Bibliographic Details
Main Authors: Haili Wang, Muye Zhang, Linghao Zhang, Xiaoxiao Zhu, Qixin Cao
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Sensors
Subjects:
hand gesture recognition
millimeter-wave radar
deep learning
clinical edge computing
multiple feature fusion
real-time
Online Access:https://www.mdpi.com/1424-8220/25/13/4169
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