research-article

Smart Homes that Monitor Breathing and Heart Rate

Authors:

Zachary Kabelac,

Robert C. MillerAuthors Info & Claims

CHI '15: Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems

Pages 837 - 846

https://doi.org/10.1145/2702123.2702200

Published: 18 April 2015 Publication History

Abstract

The evolution of ubiquitous sensing technologies has led to intelligent environments that can monitor and react to our daily activities, such as adapting our heating and cooling systems, responding to our gestures, and monitoring our elderly. In this paper, we ask whether it is possible for smart environments to monitor our vital signs remotely, without instrumenting our bodies. We introduce Vital-Radio, a wireless sensing technology that monitors breathing and heart rate without body contact. Vital-Radio exploits the fact that wireless signals are affected by motion in the environment, including chest movements due to inhaling and exhaling and skin vibrations due to heartbeats. We describe the operation of Vital-Radio and demonstrate through a user study that it can track users' breathing and heart rates with a median accuracy of 99%, even when users are 8~meters away from the device, or in a different room. Furthermore, it can monitor the vital signs of multiple people simultaneously. We envision that Vital-Radio can enable smart homes that monitor people's vital signs without body instrumentation, and actively contribute to their inhabitants' well-being.

References

[1]

Alice PDx. http://www.healthcare.philips.com/main/ homehealth/sleep/alicepdx/default.wpd. Phillips.

[2]

FMCW Transceivers. http://www.siversima.com/. SiversIMA.

[3]

iBabyGuard. http://www.ibabyguard.com/.

[4]

Kai Medical. http://www.kaimedical.com/.

[5]

Aardal, O., Paichard, Y., Brovoll, S., Berger, T., Lande, T. S., and Hamran, S.-E. Physical working principles of medical radar. Biomedical Engineering, IEEE Trans. on (2013).

[6]

Adib, F., Kabelac, Z., Katabi, D., and Miller, R. C. 3D Tracking via Body Radio Reflections. In Usenix NSDI (2014).

Digital Library

[7]

Anitori, L., de Jong, A., and Nennie, F. Fmcw radar for life-sign detection. In IEEE Radar Conference (2009).

[8]

Balakrishnan, G., Durand, F., and Guttag, J. Detecting pulse from head motions in video. In IEEE CVPR (2013).

Digital Library

[9]

Bargas-Avila, J. A., and Hornbæk, K. Old wine in new bottles or novel challenges: a critical analysis of empirical studies of user experience. In ACM CHI (2011).

Digital Library

[10]

Callahan, J., Cox, D., Hoffman, K., O'shea, D., Pollatsek, H., and Senechal, L. Calculus in context: the five college calculus project, Chapter 7 (Periodicity). WH Freeman, 1995.

[11]

Chi, Y., Jung, T.-P., and Cauwenberghs, G. Dry-contact and noncontact biopotential electrodes: Methodological review. Biomedical Engineering, IEEE Reviews in (2010).

[12]

CNET. Do wristband heart trackers actually work? A checkup. http://www.cnet.com/news/how-accurate-are-wristband-heart-ratemonitors/.

[13]

Cole, C. R., Blackstone, E. H., Pashkow, F. J., Snader, C. E., and Lauer, M. S. Heart-rate recovery immediately after exercise as a predictor of mortality. New England Journal of Medicine (1999).

[14]

de Chazal, P., O'Hare, E., Fox, N., and Heneghan, C. Assessment of sleep/wake patterns using a non-contact biomotion sensor. In IEEE EMBS (2008).

[15]

Droitcour, A. D., Boric-Lubecke, O., and Kovacs, G. T. Signal-to-noise ratio in doppler radar system for heart and respiratory rate measurements. Microwave Theory and Techniques, IEEE Trans. (2009).

[16]

Droitcour, Amy D et. al. Range correlation and i/q performance benefits in single-chip silicon doppler radars for noncontact cardiopulmonary monitoring. Microwave Theory and Techniques, IEEE Trans. (2004).

[17]

Fletcher, R., and Han, J. Low-cost differential front-end for doppler radar vital sign monitoring. In IEEE MTT (2009).

[18]

Garmin. Heart Rate Monitor. https://buy.garmin.com/en-US/US/shopby-accessories/fitness-sensors/heart-rate-monitor/prod10996.html.

[19]

GigaOm. Could a breath-monitoring headset improve your health? http://gigaom.com/2013/09/20/could-a-breath-monitoring-headsetimprove-your-health/.

[20]

Gokalp, H., and Clarke, M. Monitoring activities of daily living of the elderly and the potential for its use in telecare and telehealth: a review. TELEMEDICINE and e-HEALTH (2013).

[21]

Guard, C. Wireless Wristband Pulse Oximeter CMS-50FW With Software For Sleep Study. http://www.clinicalguard.com/wirelesswristband-pulse-oximeter-cms50fw-with-softwarefor-sleep-study-p-455.html.

[22]

Healthcare, F. M. Market for embedded health monitoring-gadgets to hit 170M devices by 2017. http://www.fiercemobilehealthcare.com/story/ market-embedded-health-monitoring-gadgets-hit170m-devices-2017/2012-08-03.

[23]

Hirshfield, L. et. Al. Brain measurement for usability testing and adaptive interfaces: an example of uncovering syntactic workload with functional near infrared spectroscopy. In ACM CHI (2009).

Digital Library

[24]

Imai, K. et. Al. Vagally mediated heart rate recovery after exercise is accelerated in athletes but blunted in patients with chronic heart failure. Journal of the American College of Cardiology (1994).

[25]

InformationWeek. Health-Monitoring Devices Market Outpaces Telehealth. http://www.informationweek.com/mobile/healthmonitoring-devices-market-outpacestelehealth/d/d-id/1104636.

[26]

Jia, Y. et. Al. Through-wall-radar localization for stationary human based on life-sign detection. In IEEE RADAR (2013).

[27]

Kaltiokallio, O. et. Al. Non-invasive respiration rate monitoring using a single cots tx-rx pair. In ACM/IEEE IPSN (2014).

Digital Library

[28]

Lanata, A et. Al. Comparative evaluation of susceptibility to motion artifact in different wearable systems for monitoring respiratory rate.

[29]

Lin, J. et. Al. Microwave apexcardiography. Microwave Theory and Techniques, IEEE Trans. (1979).

[30]

Mahlke, S., and Thüring, M. Studying antecedents of emotional experiences in interactive contexts. In ACM CHI (2007).

Digital Library

[31]

Mayo Clinic. What's a normal resting heart rate? http://www.mayoclinic.org/healthy-living/fitness/expert-answers/heartrate/faq-20057979.

[32]

Min, J. et. Al. Toss nturn: Smartphone as sleep and sleep quality detector. In ACM CHI (2014).

Digital Library

[33]

Oppenheim, A., Schafer, R., Buck, J., et al. Discrete-time signal processing. Prentice Hall, 1989.

Digital Library

[34]

Patwari, N. et. Al. Breathfinding: A wireless network that monitors and locates breathing in a home. Selected Topics in Signal Processing, IEEE Journal of (2014).

[35]

Petterson, M. et. Al. The effect of motion on pulse oximetry and its clinical significance. Anesthesia & Analgesia (2007).

[36]

Pinheiro, E., Postolache, O., and Girão, P. Theory and developments in an unobtrusive cardiovascular system representation: ballistocardiography. The open biomedical engineering journal (2010).

[37]

Steele, R., Lo, A., Secombe, C., and Wong, Y. K. Elderly persons perception and acceptance of using wireless sensor networks to assist healthcare. International journal of medical informatics (2009).

[38]

Tan, C. et. Al. Combining think-aloud and physiological data to understand video game experiences. In ACM CHI (2014).

Digital Library

[39]

Tse, D., and Vishwanath, P. Fundamentals of Wireless Communications. Cambridge University Press, 2005.

Digital Library

[40]

U.S. National Library of Medicine MedLine Plus. Heart-respiratory monitor - infantsShare. http://www.nlm.nih.gov/ medlineplus/ency/article/007236.htm.

[41]

U.S. National Library of Medicine MedLine Plus. Rapid Shallow Breathing. http://www.nlm.nih.gov/medlineplus/ency/ article/007198.htm.

[42]

Venkatesh, S., Anderson, C., Rivera, N., and Buehrer, R. Implementation and analysis of respiration-rate estimation using impulse-based uwb. In IEEE MILCOMM (2005).

[43]

Vivonoetics. Respiration: Single or Dual-Band. http://vivonoetics.com/products/vivosense/ analyzing/respiration-single-or-dual-band/.

[44]

Wu, H.-Y., Rubinstein, M., Shih, E., Guttag, J., Durand, F., and Freeman, W. Eulerian video magnification for revealing subtle changes in the world. ACM SIGGRAPH (2012).

Digital Library

[45]

Xu, Y., Wu, S., Chen, C., Chen, J., and Fang, G. A novel method for automatic detection of trapped victims by ultrawideband radar. Geoscience and Remote Sensing, IEEE Trans. on (2012).

[46]

Yang, R. et. Al. Making sustainability sustainable: Challenges in the design of eco-interaction technologies. In ACM CHI (2014).

Digital Library

[47]

Yarovoy, A. et. Al. Uwb radar for human being detection. Aerospace and Electronic Systems Magazine, IEEE (2006).

[48]

Zaffaroni, A., de Chazal, P., Heneghan, C., Boyle, P., Mppm, P. R., and McNicholas, W. T. Sleepminder: an innovative contact-free device for the estimation of the apnoea-hypopnoea index. In IEEE EMBS (2009).

Cited By

Pushparaj Kumar ASaini G(2025)Comparative Study of Vital Sign Monitoring Techniques and Methods using Radar SensorRecent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering)10.2174/012352096525784723110807561818:1(64-81)Online publication date: Jan-2025
https://doi.org/10.2174/0123520965257847231108075618
Sharma AAnand NMukherjee SKumar SKumar SMohapatra H(2024)Analyzing Territorial Variations in the Implementation of IoT-Based Smart HomesUtilizing Technology to Manage Territories10.4018/979-8-3693-6854-1.ch010(305-334)Online publication date: 25-Oct-2024
https://doi.org/10.4018/979-8-3693-6854-1.ch010
Li Yan 李Li Liang 李Zhao Chenyu 赵Zhang Yulu 张He Yun 贺Liang Pei 梁(2024)基于深度神经网络的微弱生命信号识别Acta Optica Sinica10.3788/AOS24090644:21(2117001)Online publication date: 2024
https://doi.org/10.3788/AOS240906
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Index Terms

Smart Homes that Monitor Breathing and Heart Rate
1. Human-centered computing
  1. Human computer interaction (HCI)
2. Networks
  1. Network protocols

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Published In

cover image ACM Conferences

CHI '15: Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems

April 2015

4290 pages

ISBN:9781450331456

DOI:10.1145/2702123

General Chairs:
Bo Begole
Huawei, USA
,
Jinwoo Kim
Yonsei University, Korea
,
Program Chairs:
Kori Inkpen
Microsoft Research, USA
,
Woontack Woo
KAIST, Korea

Copyright © 2015 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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SIGCHI: ACM Special Interest Group on Computer-Human Interaction

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Published: 18 April 2015

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CHI '15

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SIGCHI

CHI '15: CHI Conference on Human Factors in Computing Systems

April 18 - 23, 2015

Seoul, Republic of Korea

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CHI '15 Paper Acceptance Rate 486 of 2,120 submissions, 23%;

Overall Acceptance Rate 6,199 of 26,314 submissions, 24%

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Cited By

Pushparaj Kumar ASaini G(2025)Comparative Study of Vital Sign Monitoring Techniques and Methods using Radar SensorRecent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering)10.2174/012352096525784723110807561818:1(64-81)Online publication date: Jan-2025
https://doi.org/10.2174/0123520965257847231108075618
Sharma AAnand NMukherjee SKumar SKumar SMohapatra H(2024)Analyzing Territorial Variations in the Implementation of IoT-Based Smart HomesUtilizing Technology to Manage Territories10.4018/979-8-3693-6854-1.ch010(305-334)Online publication date: 25-Oct-2024
https://doi.org/10.4018/979-8-3693-6854-1.ch010
Li Yan 李Li Liang 李Zhao Chenyu 赵Zhang Yulu 张He Yun 贺Liang Pei 梁(2024)基于深度神经网络的微弱生命信号识别Acta Optica Sinica10.3788/AOS24090644:21(2117001)Online publication date: 2024
https://doi.org/10.3788/AOS240906
Yoon SBaek SChoi IKim SKoo BBaek YJung JPark SKim M(2024)Enhanced Vital Parameter Estimation Using Short-Range Radars with Advanced Motion Compensation and Super-Resolution TechniquesSensors10.3390/s2420676524:20(6765)Online publication date: 21-Oct-2024
https://doi.org/10.3390/s24206765
Lee YLee KAhmed SCho S(2024)Feasibility of Early Assessment for Psychological Distress: HRV-Based Evaluation Using IR-UWB RadarSensors10.3390/s2419621024:19(6210)Online publication date: 25-Sep-2024
https://doi.org/10.3390/s24196210
Hao ZWang YLi FDing GGao Y(2024)mmWave-RM: A Respiration Monitoring and Pattern Classification System Based on mmWave RadarSensors10.3390/s2413431524:13(4315)Online publication date: 2-Jul-2024
https://doi.org/10.3390/s24134315
Tran TMa DBalan R(2024)Remote Multi-Person Heart Rate Monitoring with Smart Speakers: Overcoming Separation ConstraintSensors10.3390/s2402038224:2(382)Online publication date: 8-Jan-2024
https://doi.org/10.3390/s24020382
Spence ABangay S(2024)Domain-Agnostic Representation of Side-ChannelsEntropy10.3390/e2608068426:8(684)Online publication date: 13-Aug-2024
https://doi.org/10.3390/e26080684
Wang KCao SKaur JGhafurian MButt ZMorita P(2024)Heart rate prediction with contactless active assisted living technology: a smart home approach for older adultsFrontiers in Artificial Intelligence10.3389/frai.2023.13424276Online publication date: 12-Jan-2024
https://doi.org/10.3389/frai.2023.1342427
Choi IPark SKim MCha SJin YBae JHyun E(2024)Decomposition of Respiratory and Cardiac Rates Using Dual Band Distributed Radar2024 21st European Radar Conference (EuRAD)10.23919/EuRAD61604.2024.10734961(324-327)Online publication date: 25-Sep-2024
https://doi.org/10.23919/EuRAD61604.2024.10734961
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