research-article

FallDeFi: Ubiquitous Fall Detection using Commodity Wi-Fi Devices

Authors:

Sameera Palipana,

Piyush Agrawal,

Dirk PeschAuthors Info & Claims

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, Volume 1, Issue 4

Article No.: 155, Pages 1 - 25

https://doi.org/10.1145/3161183

Published: 08 January 2018 Publication History

Abstract

Falling or tripping among elderly people living on their own is recognized as a major public health worry that can even lead to death. Fall detection systems that alert caregivers, family members or neighbours can potentially save lives. In the past decade, an extensive amount of research has been carried out to develop fall detection systems based on a range of different detection approaches, i.e, wearable and non-wearable sensing and detection technologies. In this paper, we consider an emerging non-wearable fall detection approach based on WiFi Channel State Information (CSI). Previous CSI based fall detection solutions have considered only time domain approaches. Here, we take an altogether different direction, time-frequency analysis as used in radar fall detection. We use the conventional Short-Time Fourier Transform (STFT) to extract time-frequency features and a sequential forward selection algorithm to single out features that are resilient to environment changes while maintaining a higher fall detection rate. When our system is pre-trained, it has a 93% accuracy and compared to RTFall and CARM, this is a 12% and 15% improvement respectively. When the environment changes, our system still has an average accuracy close to 80% which is more than a 20% to 30% and 5% to 15% improvement respectively.

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Cited By

Zhu HDong EXu MLv HWu F(2024)Commodity Wi-Fi-Based Wireless Sensing Advancements over the Past Five YearsSensors10.3390/s2422719524:22(7195)Online publication date: 10-Nov-2024
https://doi.org/10.3390/s24227195
Ye KWu SCai YZhou LXiao LZhang XZheng ZLin J(2024)Transfer-Learning-Based Human Activity Recognition Using Antenna ArrayRemote Sensing10.3390/rs1605084516:5(845)Online publication date: 28-Feb-2024
https://doi.org/10.3390/rs16050845
Zhou ZLiu ZLiu YZhao YWang JZhang BXia YZhang XLi S(2024)TCS-Fall: Cross-individual fall detection system based on channel state information and time-continuous stack methodDIGITAL HEALTH10.1177/2055207624125904710Online publication date: 4-Jun-2024
https://doi.org/10.1177/20552076241259047
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Index Terms

FallDeFi: Ubiquitous Fall Detection using Commodity Wi-Fi Devices
1. Human-centered computing
  1. Ubiquitous and mobile computing
    1. Ubiquitous and mobile computing systems and tools

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cover image Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies Volume 1, Issue 4

December 2017

1298 pages

EISSN:2474-9567

DOI:10.1145/3178157

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Copyright © 2018 ACM.

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Publication History

Published: 08 January 2018

Accepted: 01 October 2017

Revised: 01 August 2017

Received: 01 May 2017

Published in IMWUT Volume 1, Issue 4

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Cited By

Zhu HDong EXu MLv HWu F(2024)Commodity Wi-Fi-Based Wireless Sensing Advancements over the Past Five YearsSensors10.3390/s2422719524:22(7195)Online publication date: 10-Nov-2024
https://doi.org/10.3390/s24227195
Ye KWu SCai YZhou LXiao LZhang XZheng ZLin J(2024)Transfer-Learning-Based Human Activity Recognition Using Antenna ArrayRemote Sensing10.3390/rs1605084516:5(845)Online publication date: 28-Feb-2024
https://doi.org/10.3390/rs16050845
Zhou ZLiu ZLiu YZhao YWang JZhang BXia YZhang XLi S(2024)TCS-Fall: Cross-individual fall detection system based on channel state information and time-continuous stack methodDIGITAL HEALTH10.1177/2055207624125904710Online publication date: 4-Jun-2024
https://doi.org/10.1177/20552076241259047
Wang ZChen ZZhang YGeng CSong WSun ZGuo BYu ZChen L(2024)GrainSense: A Wireless Grain Moisture Sensing System Based on Wi-Fi SignalsProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36785898:3(1-25)Online publication date: 9-Sep-2024
https://dl.acm.org/doi/10.1145/3678589
Hou WWu C(2024)RFBoost: Understanding and Boosting Deep WiFi Sensing via Physical Data AugmentationProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36596208:2(1-26)Online publication date: 15-May-2024
https://dl.acm.org/doi/10.1145/3659620
Yao ZWang XNiu KZheng RWang JZhang DGanesan DShi W(2024)WiProfile: Unlocking Diffraction Effects for Sub-Centimeter Target Profiling Using Commodity WiFi DevicesProceedings of the 30th Annual International Conference on Mobile Computing and Networking10.1145/3636534.3649355(185-199)Online publication date: 29-May-2024
https://dl.acm.org/doi/10.1145/3636534.3649355
Yi EZhang FXiong JNiu KYao ZZhang D(2024)Enabling WiFi Sensing on New-generation WiFi CardsProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36338077:4(1-26)Online publication date: 12-Jan-2024
https://dl.acm.org/doi/10.1145/3633807
Sheng BLi JGui LGuo ZXiao F(2024)LiteWiSys: A Lightweight System for WiFi-based Dual-task Action PerceptionACM Transactions on Sensor Networks10.1145/363217720:4(1-19)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3632177
Xia KLi WGan SLu S(2024)TS2ACTProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36314457:4(1-22)Online publication date: 12-Jan-2024
https://dl.acm.org/doi/10.1145/3631445
Wang JDu HNiyato DZhou MKang JVincent Poor H(2024)Acceleration Estimation of Signal Propagation Path Length Changes for Wireless SensingIEEE Transactions on Wireless Communications10.1109/TWC.2024.338242523:9_Part_1(11476-11492)Online publication date: 1-Sep-2024
https://dl.acm.org/doi/10.1109/TWC.2024.3382425
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