Hand Gesture Controlled Nursing Bed Using FMCW Radar

Author:

Du Fuchuan,Zhao Yue,Wang Haili,Cao Qixin

Abstract

Abstract The nursing bed has become an important tool for medical and elder care, as a well-designed bed can prevent users from bedsores. To improve the user convenience, a user-friendly human-computer interface is also necessary. In this paper, we design a new nursing bed containing a FMCW millimeter wave radar for gesture recognition. A control system can help user frictionless back-up, integral turning over and leg raising when lying in the bed. Besides, we adopt the convolutional recurrent neural network for recognition of 6 gestures. Experiments with the nursing bed show that the control success rate of the bed reaches 93.75% and the response time achieves 1.03 s.

Publisher

IOP Publishing

Subject

General Physics and Astronomy

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Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Intelligent Nursing Bed for Autonomous Care Based on Low-Cost Resource-Constrained Microcontroller With On-Device Learning;IEEE Sensors Journal;2024-06-15

2. Range-Aware Hand Gesture Recognition Using FMCW Radar and Deep Learning;2023 IEEE 29th International Conference on Parallel and Distributed Systems (ICPADS);2023-12-17

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