基于无线信道状态信息的跌倒检测*

doi:10.12267/j.issn.2096-5931.2023.09.010

信息通信技术与政策 ›› 2023, Vol. 49 ›› Issue (9): 67-73.doi: 10.12267/j.issn.2096-5931.2023.09.010

基于无线信道状态信息的跌倒检测^*

Fall detection based on wireless channel state information

陈廷尉¹, 李阳², 韩凯峰², 李晓阳¹, 李航¹, 朱光旭¹

1.深圳市大数据研究院,深圳 518055
2.中国信息通信研究院移动通信创新中心,北京 100191

收稿日期:2023-07-21 出版日期:2023-09-25 发布日期:2023-09-27
作者简介:
陈廷尉，深圳市大数据研究院访问学生,主要研究方向为泛在无线感知技术、Wi-Fi 8无线通信技术等
李阳，中国信息通信研究院移动通信创新中心工程师,主要研究方向为新一代移动通信与人工智能结合技术
韩凯峰，中国信息通信研究院移动通信创新中心高级工程师,主要研究方向为面向6G的无线人工智能、通信感知一体化技术等
李晓阳，深圳市大数据研究院副研究员,主要研究方向为通信感知计算一体化、群体智能、边缘学习、空中计算、携能通信等
李航，深圳市大数据研究院副研究员,主要研究方向为无线网络、室内定位、深度学习的应用等
朱光旭，深圳市大数据研究院副研究员,主要研究方向为边缘智能、联邦学习、通信感知一体化、语义通信等
基金资助:
^*中国科协青年人才托举工程项目(2022QNRC001);国家自然科学基金项目(62001310);国家自然科学基金项目(62101235);广东省基础与应用基础研究基金(2022A1515010109);深圳市自然科学基金(JCYJ20220530113017039);深圳市大数据研究院内部项目(J00120230001);深圳市大数据研究院内部项目(J00220230004)

CHEN Tingwei¹, LI Yang², HAN Kaifeng², LI Xiaoyang¹, LI Hang¹, ZHU Guangxu¹

1. Shenzhen Research Institute of Big Data, Shenzhen 518055, China
2. China Academy of Information and Communications Technology, Beijing 100191, China

Received:2023-07-21 Online:2023-09-25 Published:2023-09-27

摘要/Abstract

摘要：

随着中国正式迈入老龄化社会,老年人跌倒引发的问题日益引起关注。针对这一问题,无线信号(如Wi-Fi)感知被用于对跌倒进行及时检测与警报。无线信号感知技术依赖电磁波的反射特性,发射信号经过室内环境中各物体反射后产生不同的传播路径,叠加在一起到达接收端。由于接收信号携带了物体方位、活动状态等信息,通过将接收信号与实际物体的状态建立联系,可实现对物体进行定位与行动识别。对基于无线信道状态信息的跌倒检测进行研究,并在实验环境中验证其可行性。

关键词: 跌倒检测, 无线信号感知, 信道状态信息

Abstract:

As China officially enters into an aging society, falls of the elderly have been concerned in recent years. To deal with this problem, wireless sensing (such as Wi-Fi sensing) is used to detect and alarm falls in time. The realization of wireless sensing technology is based on the reflection characteristics of electromagnetic waves. The signals generated by the transmitter are reflected by various objects in the indoor environment to produce different propagation paths, and finally superimpose together at the receiving end. Those signals carry information such as the orientations and activity states of the objects. By establishing a connection between the received signals and the states of the actual objects, the objects can be positioned and their actions can be identified. This paper studies the fall detection based on wireless channel state information, and verifies the feasibility of the scheme by constructing practical experimental environments.

Key words: fall detection, wireless sensing, channel state information

中图分类号:

TN929.11

陈廷尉, 李阳, 韩凯峰, 李晓阳, 李航, 朱光旭. 基于无线信道状态信息的跌倒检测^*[J]. 信息通信技术与政策, 2023, 49(9): 67-73.

CHEN Tingwei, LI Yang, HAN Kaifeng, LI Xiaoyang, LI Hang, ZHU Guangxu. Fall detection based on wireless channel state information[J]. Information and Communications Technology and Policy, 2023, 49(9): 67-73.

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链接本文:

http://ictp.caict.ac.cn/CN/10.12267/j.issn.2096-5931.2023.09.010

http://ictp.caict.ac.cn/CN/Y2023/V49/I9/67

图/表 8

参考文献 13

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衡量指标	单台接收机幅度	3台接收机幅度	单台接收机相位	3台接收机相位
准确率	0.755	0.775	0.780	0.803
精确率	0.621	0.731	0.644	0.689
召回率	0.584	0.572	0.700	0.745
F1分数	0.600	0.636	0.429	0.710

衡量指标	单台接收机幅度	3台接收机幅度	单台接收机相位	3台接收机相位
准确率	0.755	0.775	0.780	0.803
精确率	0.621	0.731	0.644	0.689
召回率	0.584	0.572	0.700	0.745
F1分数	0.600	0.636	0.429	0.710

衡量指标	单台接收机幅度	3台接收机幅度	单台接收机相位	3台接收机相位
准确率	0.808	0.733	0.775	0.775
精确率	0.743	0.722	0.633	0.644
召回率	0.65	0.325	0.775	0.725
F1分数	0.693	0.448	0.697	0.682

衡量指标	单台接收机幅度	3台接收机幅度	单台接收机相位	3台接收机相位
准确率	0.808	0.733	0.775	0.775
精确率	0.743	0.722	0.633	0.644
召回率	0.65	0.325	0.775	0.725
F1分数	0.693	0.448	0.697	0.682

衡量指标	单台接收机幅度	3台接收机幅度	单台接收机相位	3台接收机相位
准确率	0.723	0.751	0.800	0.746
精确率	0.579	0.671	0.718	0.663
召回率	0.574	0.478	0.643	0.461
F1分数	0.576	0.558	0.679	0.544

基于无线信道状态信息的跌倒检测^*

Fall detection based on wireless channel state information

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