research-article

Beyond Respiration: Contactless Sleep Sound-Activity Recognition Using RF Signals

Authors:

Xiaojiang Chen, and

Dingyi FangAuthors Info & Claims

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, Volume 3, Issue 3

Article No.: 96, Pages 1 - 22

https://doi.org/10.1145/3351254

Published: 09 September 2019 Publication History

Abstract

Sleep sound-activities including snore, cough and somniloquy are closely related to sleep quality, sleep disorder and even illnesses. To obtain the information of these activities, current solutions either require the user to wear various sensors/devices, or use the camera/microphone to record the image/sound data. However, many people are reluctant to wear sensors/devices during sleep. The video-based and audio-based approaches raise privacy concerns. In this work, we propose a novel system TagSleep to address the issues mentioned above. For the first time, we propose the concept of two-layer sensing. We employ the respiration sensing information as the basic first-layer information, which is applied to further obtain rich second-layer sensing information including snore, cough and somniloquy. Specifically, without attaching any device to the human body, by just deploying low-cost and flexible RFID tags near to the user, we can accurately obtain the respiration information. What's more interesting, the user's cough, snore and somniloquy all affect his/her respiration, so the fine-grained respiration changes can be used to infer these sleep sound-activities without recording the sound data. We design and implement our system with just three RFID tags and one RFID reader. We evaluate the performance of TagSleep with 30 users (13 males and 17 females) for a period of 2 months. TagSleep is able to achieve higher than 96.58% sensing accuracy in recognizing snore, cough and somniloquy under various sleep postures. TagSleep also boosts the sleep posture recognition accuracy to 98.94%.

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Cited By

Han FYang PFeng YJiang WZhang YLi X(2024)EarSleep: In-ear Acoustic-based Physical and Physiological Activity Recognition for Sleep Stage DetectionProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36595958:2(1-31)Online publication date: 15-May-2024
https://dl.acm.org/doi/10.1145/3659595
Liu CDong ZHuang LYan WWang XFang DChen X(2024)TagSleep3DProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36435128:1(1-28)Online publication date: 6-Mar-2024
https://dl.acm.org/doi/10.1145/3643512
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
Show More Cited By

Index Terms

Beyond Respiration: Contactless Sleep Sound-Activity Recognition Using RF Signals
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 3, Issue 3

September 2019

1415 pages

EISSN:2474-9567

DOI:10.1145/3361560

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Copyright © 2019 ACM.

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Published: 09 September 2019

Published in IMWUT Volume 3, Issue 3

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BC Knowledge Development Fund (BCKDF)
Canada Foundation for Innovation (CFI)
National Natural Science Foundation of China
Shaanxi International Cooperation
the Science and Technology Innovation Team Supported Project of Shaanxi Province
Natural Sciences and Engineering Research Council of Canada (NSERC)
Shaanxi Science and Technology Project

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Cited By

Han FYang PFeng YJiang WZhang YLi X(2024)EarSleep: In-ear Acoustic-based Physical and Physiological Activity Recognition for Sleep Stage DetectionProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36595958:2(1-31)Online publication date: 15-May-2024
https://dl.acm.org/doi/10.1145/3659595
Liu CDong ZHuang LYan WWang XFang DChen X(2024)TagSleep3DProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36435128:1(1-28)Online publication date: 6-Mar-2024
https://dl.acm.org/doi/10.1145/3643512
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
Wang PMa XZheng RChen LZhang XZeghlache DZhang D(2024)SlpRoF: Improving the Temporal Coverage and Robustness of RF-Based Vital Sign Monitoring During SleepIEEE Transactions on Mobile Computing10.1109/TMC.2023.334092523:7(7848-7864)Online publication date: Jul-2024
https://doi.org/10.1109/TMC.2023.3340925
Sen ADas APradhan SChakraborty S(2024)Continuous Multi-user Activity Tracking via Room-Scale mmWave Sensing2024 23rd ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)10.1109/IPSN61024.2024.00018(163-175)Online publication date: 13-May-2024
https://doi.org/10.1109/IPSN61024.2024.00018
Jaisinghani DPhutela N(2023)Packets-to-Prediction: An Unobtrusive Mechanism for Identifying Coarse-Grained Sleep Patterns with WiFi MAC Layer TrafficSensors10.3390/s2314663123:14(6631)Online publication date: 24-Jul-2023
https://doi.org/10.3390/s23146631
Wrede CBraakman-Jansen Avan Gemert-Pijnen L(2023)Understanding acceptance of contactless monitoring technology in home-based dementia care: a cross-sectional survey study among informal caregiversFrontiers in Digital Health10.3389/fdgth.2023.12570095Online publication date: 4-Oct-2023
https://doi.org/10.3389/fdgth.2023.1257009
Guo ZYuan WGui LSheng BXiao F(2023)BreatheBand: A Fine-grained and Robust Respiration Monitor System Using WiFi SignalsACM Transactions on Sensor Networks10.1145/358207919:4(1-18)Online publication date: 17-Feb-2023
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Cui MXie BWang QXiong JCosta XHassanieh HAsadi ACox LPerino DWidmer JGiustiniano D(2023)DancingAnt: Body-empowered Wireless Sensing Utilizing Pervasive Radiations from PowerlineProceedings of the 29th Annual International Conference on Mobile Computing and Networking10.1145/3570361.3613272(1-15)Online publication date: 2-Oct-2023
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Shang FYang PYan YLi X(2023)PackquIDProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/35694696:4(1-27)Online publication date: 11-Jan-2023
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