Cited By
View all- Sun YThakor N(2016)Photoplethysmography Revisited: From Contact to Noncontact, From Point to ImagingIEEE Transactions on Biomedical Engineering10.1109/TBME.2015.247633763:3(463-477)Online publication date: Mar-2016
Designing engaging camera based mobile games for implicit heart rate monitoring
Pages 1675 - 1680
Abstract
Heart rate monitoring is widely used in clinical care, fitness training, and stress management. However, tracking individuals' heart rate faces two major challenges, namely equipment availability and user motivation. In this paper, we present a novel technique, LivePulse Games (LPG), to measure users' heart rate in real time by having them play casual games on unmodified mobile phones. With LPG, heart rate is calculated by detecting changes in transparency of users' fingertips via a mobile device's built-in camera. More importantly, LPG integrate users' camera lens covering actions as an essential control mechanism for game play, and detect heart rate implicitly from intermittent lens covering actions. We explore the design space and trade-offs of LPG through three rounds of interactive design and report the preliminary results from a 12-subject user study.
Supplementary Material
Zip file containing a PDF of the Accompanying Poster
- Download
- 23.40 MB
References
[1]
Banitsas K., Pelegris P. et al, A Simple Algorithm to Monitor HR for Real Time Treatment Applications, In Proc. ITAB 2009.
[2]
Instant Heart Rate for iOS. https://itunes.apple.com/app/instant-heart-ratemeasure/id395042892?mt=8
[3]
Jensen, M., Suadicani, P. et al, Elevated Resting Heart Rate, Physical Fitness and All-Cause Mortality: a 16-year Follow-up in The Copenhagen Male Study, Heart Vol. 99, 2013.
[4]
Mueller, F., Vetere, F., et al, Jogging Over a Distance Between Europe and Australia, In Proc. UIST 2010.
[5]
Naima, R., and Canny, J. The Berkeley Tricorder: Ambulatory Health Monitoring, Sixth International Workshop on Wearable and Implantable Body Sensor Networks, 2009.
[6]
Nenonen, V., Lindblad, A., Using Heart Rate to Control an Interactive Game, In Proc. CHI 2007.
[7]
Oliveira, R., Oliver, N., TripleBeat: Enhancing Exercise Performance with Persuasion, In Proc. MobileHCI 2009.
[8]
Poh, M., McDuff, D., Picard, R., Noncontact, Automated Cardiac Pulse Measurements Using Video Imaging and Blind Source Separation, Optics Express 18 (2010): 10762.
[9]
Rowe, D.R., Sibert, J., and Irwin, D. Heart Rate Variability: Indicator of User State as an Aid to HumanComputer Interaction. In Proc. CHI 1998.
[10]
Xiao, X., Han, T., Wang, J., LensGesture: Augmenting Mobile Interactions with Back-of-Device Finger Gestures, In Proc. ACM ICMI 2013.
Index Terms
- Designing engaging camera based mobile games for implicit heart rate monitoring
Recommendations
Balancing Accuracy and Fun: Designing Camera Based Mobile Games for Implicit Heart Rate Monitoring
CHI '15: Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing SystemsHeart rate monitoring is widely used in clinical care, fitness training, and stress management. However, tracking individuals' heart rates faces two major challenges, namely equipment availability and user motivation. In this paper, we present a novel ...
Sudden cardiac death (SCD) prediction based on nonlinear heart rate variability features and SCD index
SCD is predicated using SVM classifier and sudden cardiac death index (SCDI).Nonlinear features are extracted from HRV signals.SVM predicts SCD with 94.7% accuracy four minutes before its onset.SCDI predicts SCD accurately. In our previous work, we have ...
A Review of Measurement and Analysis of Heart Rate Variability
ICCAE '09: Proceedings of the 2009 International Conference on Computer and Automation EngineeringElectrocardiogram (ECG) is one of the most important physiological parameter that gives correct assessment of heart function. QRS complex is a prominent waveform in an ECG that provides the basis for analyzing heart rate variability (HRV). HRV refers to ...
Comments
Please enable JavaScript to view thecomments powered by Disqus.Information & Contributors
Information
Published In
April 2014
2620 pages
ISBN:9781450324748
DOI:10.1145/2559206
- General Chairs:
- Matt Jones,
- Philippe Palanque,
- Program Chairs:
- Albrecht Schmidt,
- Tovi Grossman
Copyright © 2014 Owner/Author.
Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.
Sponsors
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 26 April 2014
Check for updates
Author Tags
Qualifiers
- Poster
Conference
CHI '14
Sponsor:
CHI '14: CHI Conference on Human Factors in Computing Systems
April 26 - May 1, 2014
Ontario, Toronto, Canada
Acceptance Rates
CHI EA '14 Paper Acceptance Rate 1,000 of 3,200 submissions, 31%;
Overall Acceptance Rate 6,164 of 23,696 submissions, 26%
Upcoming Conference
CHI '25
- Sponsor:
- sigchi
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- View Citations1Total Citations
- 331Total Downloads
- Downloads (Last 12 months)5
- Downloads (Last 6 weeks)0
Reflects downloads up to 16 Nov 2024
Other Metrics
Citations
Cited By
View all- Sun YThakor N(2016)Photoplethysmography Revisited: From Contact to Noncontact, From Point to ImagingIEEE Transactions on Biomedical Engineering10.1109/TBME.2015.247633763:3(463-477)Online publication date: Mar-2016
View Options
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in