research-article

DoppleSleep: a contactless unobtrusive sleep sensing system using short-range Doppler radar

Authors:

Tauhidur Rahman,

Alexander T. Adams,

Ruth Vinisha Ravichandran,

Shwetak N. Patel,

Julie A. Kientz,

Tanzeem ChoudhuryAuthors Info & Claims

UbiComp '15: Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing

Pages 39 - 50

https://doi.org/10.1145/2750858.2804280

Published: 07 September 2015 Publication History

Abstract

In this paper, we present DoppleSleep -- a contactless sleep sensing system that continuously and unobtrusively tracks sleep quality using commercial off-the-shelf radar modules. DoppleSleep provides a single sensor solution to track sleep-related physical and physiological variables including coarse body movements and subtle and fine-grained chest, heart movements due to breathing and heartbeat. By integrating vital signals and body movement sensing, DoppleSleep achieves 89.6% recall with Sleep vs. Wake classification and 80.2% recall with REM vs. Non-REM classification compared to EEG-based sleep sensing. Lastly, it provides several objective sleep quality measurements including sleep onset latency, number of awakenings, and sleep efficiency. The contactless nature of DoppleSleep obviates the need to instrument the user's body with sensors. Lastly, DoppleSleep is implemented on an ARM microcontroller and a smartphone application that are benchmarked in terms of power and resource usage.

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Cited By

Li ZChen KXie Y(2024)A Deep Learning Method for Human Sleeping Pose Estimation with Millimeter Wave RadarSensors10.3390/s2418590024:18(5900)Online publication date: 11-Sep-2024
https://doi.org/10.3390/s24185900
Soares BGouveia CAlbuquerque DPinho P(2024)Impact and Classification of Body Stature and Physiological Variability in the Acquisition of Vital Signs Using Continuous Wave RadarApplied Sciences10.3390/app1402092114:2(921)Online publication date: 22-Jan-2024
https://doi.org/10.3390/app14020921
Li SJin BWang ZZhang FRen XLiu H(2024)Leveraging Attention-reinforced UWB Signals to Monitor Respiration during SleepACM Transactions on Sensor Networks10.1145/368055020:5(1-28)Online publication date: 26-Aug-2024
https://dl.acm.org/doi/10.1145/3680550
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Index Terms

DoppleSleep: a contactless unobtrusive sleep sensing system using short-range Doppler radar
1. Hardware
  1. Communication hardware, interfaces and storage
    1. Signal processing systems

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Published In

cover image ACM Conferences

UbiComp '15: Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing

September 2015

1302 pages

ISBN:9781450335744

DOI:10.1145/2750858

General Chairs:
Kenji Mase
Nagoya University, JP
,
Marc Langheinrich
Università della Svizzera italiana (USI), CH
,
Daniel Gatica-Perez
IDIAP-EPFL, CH
,
Program Chairs:
Hans Gellersen
Lancaster University, UK
,
Tanzeem Choudhury
Cornell University
,
Koji Yatani
Univerisity of Tokyo, JP

Copyright © 2015 ACM.

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SIGCHI: ACM Special Interest Group on Computer-Human Interaction
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Panasonic: Panasonic Corporation
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ISTC-PC: Intel Science and Technology Center for Pervasive Computing

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Association for Computing Machinery

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Published: 07 September 2015

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ISTC (Intel Science & Technology Center on Pervasive Computing)
National Science Foundation

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UbiComp '15

Sponsor:

Yahoo! Japan
SIGMOBILE
FX Palo Alto Laboratory, Inc.
ACM
Rakuten Institute of Technology
Microsoft
Bell Labs
SIGCHI
Panasonic
Telefónica
ISTC-PC

UbiComp '15: The 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing

September 7 - 11, 2015

Osaka, Japan

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UbiComp '15 Paper Acceptance Rate 101 of 394 submissions, 26%;

Overall Acceptance Rate 764 of 2,912 submissions, 26%

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Cited By

Li ZChen KXie Y(2024)A Deep Learning Method for Human Sleeping Pose Estimation with Millimeter Wave RadarSensors10.3390/s2418590024:18(5900)Online publication date: 11-Sep-2024
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Soares BGouveia CAlbuquerque DPinho P(2024)Impact and Classification of Body Stature and Physiological Variability in the Acquisition of Vital Signs Using Continuous Wave RadarApplied Sciences10.3390/app1402092114:2(921)Online publication date: 22-Jan-2024
https://doi.org/10.3390/app14020921
Li SJin BWang ZZhang FRen XLiu H(2024)Leveraging Attention-reinforced UWB Signals to Monitor Respiration during SleepACM Transactions on Sensor Networks10.1145/368055020:5(1-28)Online publication date: 26-Aug-2024
https://dl.acm.org/doi/10.1145/3680550
Li SJin BZhang FWang ZMa JRen XLiu H(2024)Hypnos: A Contactless Sleep Stage Monitoring System Using UWB SignalsProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36785818:3(1-27)Online publication date: 9-Sep-2024
https://dl.acm.org/doi/10.1145/3678581
Khalid MKlerman EMcHill APhillips ASano A(2024)SleepNetProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36435088:1(1-34)Online publication date: 6-Mar-2024
https://dl.acm.org/doi/10.1145/3643508
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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
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Thaddeus LReddy CBhadauria YShah DGulati MVarshney A(2024)TunnelSense: Low-Power, Non-Contact Sensing Using Tunnel Diodes2024 IEEE International Conference on RFID (RFID)10.1109/RFID62091.2024.10582671(154-159)Online publication date: 4-Jun-2024
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