EMPress: Practical Hand Gesture Classification with Wrist-Mounted EMG and Pressure Sensing

Jess McIntosh, Charlie McNeill, Mike Fraser, Frederic Kerber, Markus Löchtefeld, Antonio Krüger

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

34 Citations (Scopus)
Original languageEnglish
Title of host publicationProceedings of the 2016 CHI Conference on Human Factors in Computing Systems
Place of PublicationNew York, NY, USA
PublisherAssociation for Computing Machinery
Publication date2016
Pages2332-2342
ISBN (Print)978-1-4503-3362-7
DOIs
Publication statusPublished - 2016
Event2016 CHI Conference on Human Factors in Computing Systems - San Jose, United States
Duration: 7 May 201612 May 2016
http://chi2016.acm.org/wp/

Conference

Conference2016 CHI Conference on Human Factors in Computing Systems
CountryUnited States
CitySan Jose
Period07/05/201612/05/2016
Internet address

Fingerprint

Watches
Ergonomics
Electrodes
Sensors

Keywords

  • electromyography (emg), force sensitive resistors, hand gestures, practical wearable device design, pressure

Cite this

McIntosh, J., McNeill, C., Fraser, M., Kerber, F., Löchtefeld, M., & Krüger, A. (2016). EMPress: Practical Hand Gesture Classification with Wrist-Mounted EMG and Pressure Sensing. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems (pp. 2332-2342). New York, NY, USA: Association for Computing Machinery. https://doi.org/10.1145/2858036.2858093
McIntosh, Jess ; McNeill, Charlie ; Fraser, Mike ; Kerber, Frederic ; Löchtefeld, Markus ; Krüger, Antonio. / EMPress : Practical Hand Gesture Classification with Wrist-Mounted EMG and Pressure Sensing. Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems. New York, NY, USA : Association for Computing Machinery, 2016. pp. 2332-2342
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title = "EMPress: Practical Hand Gesture Classification with Wrist-Mounted EMG and Pressure Sensing",
keywords = "electromyography (emg), force sensitive resistors, hand gestures, practical wearable device design, pressure",
author = "Jess McIntosh and Charlie McNeill and Mike Fraser and Frederic Kerber and Markus L{\"o}chtefeld and Antonio Kr{\"u}ger",
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language = "English",
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McIntosh, J, McNeill, C, Fraser, M, Kerber, F, Löchtefeld, M & Krüger, A 2016, EMPress: Practical Hand Gesture Classification with Wrist-Mounted EMG and Pressure Sensing. in Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, New York, NY, USA, pp. 2332-2342, 2016 CHI Conference on Human Factors in Computing Systems, San Jose, United States, 07/05/2016. https://doi.org/10.1145/2858036.2858093

EMPress : Practical Hand Gesture Classification with Wrist-Mounted EMG and Pressure Sensing. / McIntosh, Jess; McNeill, Charlie; Fraser, Mike; Kerber, Frederic; Löchtefeld, Markus; Krüger, Antonio.

Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems. New York, NY, USA : Association for Computing Machinery, 2016. p. 2332-2342.

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

TY - GEN

T1 - EMPress

T2 - Practical Hand Gesture Classification with Wrist-Mounted EMG and Pressure Sensing

AU - McIntosh, Jess

AU - McNeill, Charlie

AU - Fraser, Mike

AU - Kerber, Frederic

AU - Löchtefeld, Markus

AU - Krüger, Antonio

PY - 2016

Y1 - 2016

KW - electromyography (emg), force sensitive resistors, hand gestures, practical wearable device design, pressure

U2 - 10.1145/2858036.2858093

DO - 10.1145/2858036.2858093

M3 - Article in proceeding

SN - 978-1-4503-3362-7

SP - 2332

EP - 2342

BT - Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems

PB - Association for Computing Machinery

CY - New York, NY, USA

ER -

McIntosh J, McNeill C, Fraser M, Kerber F, Löchtefeld M, Krüger A. EMPress: Practical Hand Gesture Classification with Wrist-Mounted EMG and Pressure Sensing. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems. New York, NY, USA: Association for Computing Machinery. 2016. p. 2332-2342 https://doi.org/10.1145/2858036.2858093