demonstration

Demo: e-gesture - a collaborative architecture for energy-efficient gesture recognition with hand-worn sensor and mobile devices

Authors:

Junehwa SongAuthors Info & Claims

MobiSys '11: Proceedings of the 9th international conference on Mobile systems, applications, and services

Pages 359 - 360

https://doi.org/10.1145/1999995.2000034

Published: 28 June 2011 Publication History

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Abstract

We demonstrate E-Gesture, a collaborative architecture for energy-efficient gesture recognition on a hand-worn sensor device and an off-the-shelf smartphone that greatly reduces energy consumption while achieving high accuracy recognition under dynamic mobile situations. E-gesture employs a novel gesture segmentation and classification architecture carefully crafted by studying sporadic occurrence patterns of gestures in continuous sensor data streams and analyzing energy consumption characteristics in both sensor and smartphone.

References

[1]

J. Kela, et al., "Accelerometer-based gesture control for a design environment", Personal and Ubiquitous Computing Journal, 2006

Digital Library

Google Scholar

[2]

HMM Toolkit (HTK), http://htk.eng.cam.ac.uk/

Google Scholar

[3]

G. Raffa, et al., "Don't Slow Me Down: Bringing energy efficiency to continuous gesture recognition", In Proc. ISWC, 2010

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Cited By

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Song ZDudley JKristensson P(2023)HotGestures: Complementing Command Selection and Use with Delimiter-Free Gesture-Based Shortcuts in Virtual RealityIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2023.332025729:11(4600-4610)Online publication date: 1-Nov-2023
https://dl.acm.org/doi/10.1109/TVCG.2023.3320257
Rasheed ASan OKvamsdal T(2020)Digital Twin: Values, Challenges and Enablers From a Modeling PerspectiveIEEE Access10.1109/ACCESS.2020.29701438(21980-22012)Online publication date: 2020
https://doi.org/10.1109/ACCESS.2020.2970143
Korpela JTakase KHirashima TMaekawa TEberle JChakraborty DAberer KMase KLangheinrich MGatica-Perez DVan Laerhoven KTerada T(2015)An energy-aware method for the joint recognition of activities and gestures using wearable sensorsProceedings of the 2015 ACM International Symposium on Wearable Computers10.1145/2802083.2808400(101-108)Online publication date: 7-Sep-2015
https://dl.acm.org/doi/10.1145/2802083.2808400
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Index Terms

Demo: e-gesture - a collaborative architecture for energy-efficient gesture recognition with hand-worn sensor and mobile devices
1. Computer systems organization
  1. Embedded and cyber-physical systems
  2. Real-time systems

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Information & Contributors

Information

Published In

MobiSys '11: Proceedings of the 9th international conference on Mobile systems, applications, and services

June 2011

430 pages

ISBN:9781450306430

DOI:10.1145/1999995

General Chair:
Ashok Agrawala
University of Maryland, USA
,
Program Chairs:
Mark D. Corner
UMass Amherst, USA
,
David Wetherall
University of Wash. & Intel Labs, USA

In-Cooperation

SIGOPS: ACM Special Interest Group on Operating Systems

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 28 June 2011

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Demonstration

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MobiSys'11

Sponsor:

SIGMOBILE

MobiSys'11: The 9th International Conference on Mobile Systems, Applications, and Services

June 28 - July 1, 2011

Maryland, Bethesda, USA

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Overall Acceptance Rate 274 of 1,679 submissions, 16%

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Cited By

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Song ZDudley JKristensson P(2023)HotGestures: Complementing Command Selection and Use with Delimiter-Free Gesture-Based Shortcuts in Virtual RealityIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2023.332025729:11(4600-4610)Online publication date: 1-Nov-2023
https://dl.acm.org/doi/10.1109/TVCG.2023.3320257
Rasheed ASan OKvamsdal T(2020)Digital Twin: Values, Challenges and Enablers From a Modeling PerspectiveIEEE Access10.1109/ACCESS.2020.29701438(21980-22012)Online publication date: 2020
https://doi.org/10.1109/ACCESS.2020.2970143
Korpela JTakase KHirashima TMaekawa TEberle JChakraborty DAberer KMase KLangheinrich MGatica-Perez DVan Laerhoven KTerada T(2015)An energy-aware method for the joint recognition of activities and gestures using wearable sensorsProceedings of the 2015 ACM International Symposium on Wearable Computers10.1145/2802083.2808400(101-108)Online publication date: 7-Sep-2015
https://dl.acm.org/doi/10.1145/2802083.2808400
Min CKang SYoo CCha JChoi SOh YSong JMase KLangheinrich MGatica-Perez DVan Laerhoven KTerada T(2015)Exploring current practices for battery use and management of smartwatchesProceedings of the 2015 ACM International Symposium on Wearable Computers10.1145/2802083.2802085(11-18)Online publication date: 7-Sep-2015
https://dl.acm.org/doi/10.1145/2802083.2802085
Kim YLee SHwang IRo HLee YMoon MSong JBrush AFriday AKientz JScott JSong J(2014)High5Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing10.1145/2632048.2632072(15-19)Online publication date: 13-Sep-2014
https://dl.acm.org/doi/10.1145/2632048.2632072
Shu YGu YChen J(2014)Dynamic Authentication with Sensory Information for the Access Control SystemsIEEE Transactions on Parallel and Distributed Systems10.1109/TPDS.2013.15325:2(427-436)Online publication date: 1-Feb-2014
https://dl.acm.org/doi/10.1109/TPDS.2013.153
Rault TBouabdallah AChallal YMarin F(2014)Context-aware energy-efficient wireless sensor architecture for body activity recognition2014 IEEE International Conference on Pervasive Computing and Communication Workshops (PERCOM WORKSHOPS)10.1109/PerComW.2014.6815201(203-206)Online publication date: Mar-2014
https://doi.org/10.1109/PerComW.2014.6815201
Wang DAbdelzaher TKaplan LAggarwal C(2013)Recursive Fact-FindingProceedings of the 2013 IEEE 33rd International Conference on Distributed Computing Systems10.1109/ICDCS.2013.54(530-539)Online publication date: 8-Jul-2013
https://dl.acm.org/doi/10.1109/ICDCS.2013.54
Gong JCui LXiao KWang R(2012)MPD-Model: A Distributed Multipreference-Driven Data Fusion Model and Its Application in a WSNs-Based Healthcare Monitoring SystemInternational Journal of Distributed Sensor Networks10.1155/2012/6023588:12(602358)Online publication date: 6-Dec-2012
https://doi.org/10.1155/2012/602358
Ra MPriyantha BKansal ALiu JDey AChu HHayes G(2012)Improving energy efficiency of personal sensing applications with heterogeneous multi-processorsProceedings of the 2012 ACM Conference on Ubiquitous Computing10.1145/2370216.2370218(1-10)Online publication date: 5-Sep-2012
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