research-article

Wireless multi sensor bracelet with discreet feedback

Authors:

Martin Ouwerkerk,

Pierre Dandine,

Rafal Kocielnik,

Johanna Mercurio,

Joyce WesterinkAuthors Info & Claims

WH '13: Proceedings of the 4th Conference on Wireless Health

Article No.: 6, Pages 1 - 8

https://doi.org/10.1145/2534088.2534104

Published: 01 November 2013 Publication History

Abstract

A novel wireless multi sensor bracelet has been developed. The design choices of the bracelet - based on insights obtained with a predecessor sensor bracelet -, as well as the rationale for the choice of sensors, are presented. The hardware and software architecture are described. An example of obtained sensor data is shown. The limited battery life of the performance optimized product software fell short of the one week design target. A power optimization of the software has been made, which meets the battery life design target. It is based on current consumption measurements, and optimized sensor timing. The tradeoffs between high performance - short battery life, and low performance - long battery life are analyzed. The learnings from recent field studies on work-related stress and affective health are discussed.

References

[1]

Westerink, J. H. D. M., Ouwerkerk, M., de Vries, J. J. G., De Waele, S., van den Eerenbeemd, J., van Boven, M. 2009. Emotion measurement platform for daily life situations. Proceedings Volume I, International Conference on Affective Computing & Intelligent Interaction, ACII (Sep. 2009), Amsterdam, The Netherlands, 217--222.

[2]

Ouwerkerk, M. 2011. Unobtrusive Emotions Sensing in Daily Life. Chapter 2 in: Westerink, J., Krans, M, Ouwerkerk, M. Sensing Emotions -- The Impact of Context on Experience Measurements, Philips Research Book Series Volume 12, Springer, 21--40.

[3]

Kuijpers, E., Nijman, H., Bongers, I. M. B., Lubberding, M., Ouwerkerk, M. 2012. Can mobile skin conductance assessments be helpful in signalling imminent inpatient aggression?. Acta Neuropsychiatrica, 24 (2012), 56--59.

[4]

Westerink, J. H. D. M., van Beek, W. H. M., Daemen, E. M. L., Janssen, J. H., de Vries, J. J. G., Ouwerkerk, M., 2013. The Vitality bracelet: bringing balance to your life with psychophysiological measurements, Fairclough, SH, Gilleade K (ed) Advances in Physiological Computing, Springer-Verlag London (in press).

[5]

Djajadiningrat, T., Geurts, L., Munniksma, P.-R., Christiaansen, G., de Bont, J. 2009. Rationalizer: an emotion mirror for online traders. Proceedings of the 5th International Workshop on Design and Semantics of Form and Movement 39--48.

[6]

Poh, Ming-Zher, Swenson, N. C., Picard, R. W., 2010. A Wearable Sensor for Unobtrusive, Long-Term Assessment of Electrodermal Activity. IEEE Transactions on Biomedical Engineering, 57, 5 (May 2010), 1243--1252.

[7]

http://www.qsensortech.com

[8]

van der Zwaag, M. D., Janssen, J. H., Westerink, J. H. D. M. 2013. Directing Physiology and Mood through Music: Validation of an Affective Music Player. IEEE Transactions on Affective Computing 4, 1 (2013) 57--68.

Digital Library

[9]

Kocielnik, R., Sidorova, N., Maggi, F. M., Ouwerkerk, M., Westerink, J. H. D. M., 2013. Smart Technologies for Long-Term Stress Monitoring at Work, submitted to the 26th IEEE International Symposium on Computer-Based Medical Systems.

[10]

Sanches, P., Höök, K., Vaara, E., Weymann, C., Bylund, M., Ferreira, P., Peira, N., Sjölinder, M. 2010. Mind the body!: designing a mobile stress management application encouraging personal reflection. In Proceedings of the 8th ACM conference on designing interactive systems (2010). ACM, New York, NY, 47--56.

Digital Library

[11]

van Dooren, M., de Vries, J. J. G., Janssen, J. H., Emotional sweating across the body: Comparing 16 different skin conductance measurement locations, Physiology & Behavior, 106 (2012) 298--304.

[12]

http://processors.wiki.ti.com/index.php?title=File:MSP430BT5190_CC2560_Developers_Guide.pdf&limit=50

[13]

FreeRTOS: http://www.freertos.org/

[14]

IBM Rational Synergy and Change suite http://www-01.ibm.com/software/rational/products/synergychangesuite/

[15]

Jenkins: http://jenkins-ci.org/

[16]

Boucsein, W. 2012 Electrodermal Activity 2^nd Ed., Springer Science+ Business Media LLC, New York. (2012) 108--109.

[17]

Lundqvist, L.-O., Carlsson, F., Hilmersson, P., Juslin, P. N., Emotional responses to music: experience, expression, and physiology, Psychology of Music 37 (2009) 61--90.

Cited By

Márquez-Sánchez SCampero-Jurado IRobles-Camarillo DRodríguez SCorchado-Rodríguez J(2021)BeSafe B2.0 Smart Multisensory Platform for Safety in WorkplacesSensors10.3390/s2110337221:10(3372)Online publication date: 12-May-2021
https://doi.org/10.3390/s21103372
Westerink JRajae-Joordens ROuwerkerk Mvan Dooren MJelfs SDenissen APenning de Vries Evan Ee R(2020)Deriving a Cortisol-Related Stress Indicator From Wearable Skin Conductance Measurements: Quantitative Model & Experimental ValidationFrontiers in Computer Science10.3389/fcomp.2020.000392Online publication date: 29-Sep-2020
https://doi.org/10.3389/fcomp.2020.00039
Sanches PHöök KSas CStåhl A(2019)Ambiguity as a Resource to Inform Proto-PracticesACM Transactions on Computer-Human Interaction10.1145/331814326:4(1-32)Online publication date: 16-Jul-2019
https://dl.acm.org/doi/10.1145/3318143
Show More Cited By

Index Terms

Wireless multi sensor bracelet with discreet feedback
1. Applied computing
  1. Life and medical sciences
2. Human-centered computing
  1. Human computer interaction (HCI)

Recommendations

Designing a desirable smart bracelet for older adults
UbiComp '13 Adjunct: Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication

In this paper, we present the design process of a smart bracelet that aims at enhancing the life of elderly people. The bracelet acts as a personal assistant during the user's everyday life, monitoring the health status and alerting him or her about ...
BoostMeUp: Improving Cognitive Performance in the Moment by Unobtrusively Regulating Emotions with a Smartwatch

A person's emotional state can strongly influence their ability to achieve optimal task performance. Aiming to help individuals manage their feelings, different emotion regulation technologies have been proposed. However, despite the well-known influence ...
Single versus multi-hop wireless reprogramming in sensor networks
TridentCom '08: Proceedings of the 4th International Conference on Testbeds and research infrastructures for the development of networks & communities

Wireless reprogramming of the sensor network is useful for uploading new code or for changing the functionality of the existing code. In recent years, the research focus has shifted from single hop reprogramming to multi-hop reprogramming primarily ...

Comments

Information & Contributors

Information

Published In

cover image ACM Other conferences

WH '13: Proceedings of the 4th Conference on Wireless Health

November 2013

91 pages

ISBN:9781450322904

DOI:10.1145/2534088

General Chairs:
Roozbeh Jafari
University of Texas at Dallas
,
Wendy Nilsen
National Institutes of Health

Copyright © 2013 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 ACM 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]

Sponsors

NSF: National Science Foundation

In-Cooperation

SIGMOBILE: ACM Special Interest Group on Mobility of Systems, Users, Data and Computing

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 November 2013

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article

Conference

WH '13

Sponsor:

NSF

WH '13: Wireless Health 2013

November 1 - 3, 2013

Maryland, Baltimore

Acceptance Rates

WH '13 Paper Acceptance Rate 7 of 33 submissions, 21%;

Overall Acceptance Rate 35 of 139 submissions, 25%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

9
Total Citations
View Citations
218
Total Downloads

Downloads (Last 12 months)10
Downloads (Last 6 weeks)1

Reflects downloads up to 23 Oct 2024

Other Metrics

View Author Metrics

Citations

Cited By

Márquez-Sánchez SCampero-Jurado IRobles-Camarillo DRodríguez SCorchado-Rodríguez J(2021)BeSafe B2.0 Smart Multisensory Platform for Safety in WorkplacesSensors10.3390/s2110337221:10(3372)Online publication date: 12-May-2021
https://doi.org/10.3390/s21103372
Westerink JRajae-Joordens ROuwerkerk Mvan Dooren MJelfs SDenissen APenning de Vries Evan Ee R(2020)Deriving a Cortisol-Related Stress Indicator From Wearable Skin Conductance Measurements: Quantitative Model & Experimental ValidationFrontiers in Computer Science10.3389/fcomp.2020.000392Online publication date: 29-Sep-2020
https://doi.org/10.3389/fcomp.2020.00039
Sanches PHöök KSas CStåhl A(2019)Ambiguity as a Resource to Inform Proto-PracticesACM Transactions on Computer-Human Interaction10.1145/331814326:4(1-32)Online publication date: 16-Jul-2019
https://dl.acm.org/doi/10.1145/3318143
Ray PDash DDe D(2019)Analysis and monitoring of IoT-assisted human physiological galvanic skin responsefactor for smart e-healthcareSensor Review10.1108/SR-07-2018-0181Online publication date: 13-Jun-2019
https://doi.org/10.1108/SR-07-2018-0181
Rostami ABexell EStanisic SFernaeus YMcMillan DJonsson MGirouard ATholander J(2018)The Shared IndividualProceedings of the Twelfth International Conference on Tangible, Embedded, and Embodied Interaction10.1145/3173225.3173299(511-516)Online publication date: 18-Mar-2018
https://dl.acm.org/doi/10.1145/3173225.3173299
Rostami AMcMillan DMárquez Segura ERossito CBarkhuus LInakage MIshii HDo ESteimle JShaer OKunze KPeiris R(2017)Bio-Sensed and Embodied Participation in Interactive PerformanceProceedings of the Eleventh International Conference on Tangible, Embedded, and Embodied Interaction10.1145/3024969.3024998(197-208)Online publication date: 20-Mar-2017
https://dl.acm.org/doi/10.1145/3024969.3024998
Egilmez BPoyraz EWenting Zhou Memik GDinda PAlshurafa N(2017)UStress: Understanding college student subjective stress using wrist-based passive sensing2017 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)10.1109/PERCOMW.2017.7917644(673-678)Online publication date: Mar-2017
https://doi.org/10.1109/PERCOMW.2017.7917644
Hawlitschek FTeubner TLux EAdam M(2015)Foreign Live Biofeedback: Using Others’ Neurophysiological DataInformation Systems and Neuroscience10.1007/978-3-319-18702-0_8(59-64)Online publication date: 16-May-2015
https://doi.org/10.1007/978-3-319-18702-0_8
Lux EHawlitschek FTeubner TNiemeyer CAdam M(2015)A Hot Topic—Group Affect Live Biofeedback for Participation PlatformsInformation Systems and Neuroscience10.1007/978-3-319-18702-0_5(35-42)Online publication date: 16-May-2015
https://doi.org/10.1007/978-3-319-18702-0_5

View Options

Get Access

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Media

Figures

Other

Tables

View Table of Contents