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Finding Common Ground: A Survey of Capacitive Sensing in Human-Computer Interaction
Grosse-Puppendahl, Tobias, Holz, Christian, Cohn, Gabe A., Wimmer, Raphael
, Bechtold, Oskar, Hodges, Steve, Reynolds, Matthew S. und Smith, Joshua R.
(2017)
Finding Common Ground: A Survey of Capacitive Sensing in Human-Computer Interaction.
In:
CHI'17 : Proceedings of the 2017 ACM SIGCHI Conference on Human Factors in Computing Systems, May 6-11, 2017, Denver, CO, USA.
ACM, New York, NY, USA.
ISBN 978-1-4503-4655-9.
Veröffentlichungsdatum dieses Volltextes: 20 Jun 2017 06:04
Buchkapitel
DOI zum Zitieren dieses Dokuments: 10.5283/epub.35768
Dies ist die aktuelle Version dieses Eintrags.
Zusammenfassung
For more than two decades, capacitive sensing has played a prominent role in human-computer interaction research. Capacitive sensing has become ubiquitous on mobile, wearable, and stationary devices---enabling fundamentally new interaction techniques on, above, and around them. The research community has also enabled human position estimation and whole-body gestural interaction in instrumented ...
For more than two decades, capacitive sensing has played a prominent role in human-computer interaction research. Capacitive sensing has become ubiquitous on mobile, wearable, and stationary devices---enabling fundamentally new interaction techniques on, above, and around them. The research community has also enabled human position estimation and whole-body gestural interaction in instrumented environments. However, the broad field of capacitive sensing research has become fragmented by different approaches and terminology used across the various domains. This paper strives to unify the field by advocating consistent terminology and proposing a new taxonomy to classify capacitive sensing approaches. Our extensive survey provides an analysis and review of past research and identifies challenges for future work. We aim to create a common understanding within the field of human-computer interaction, for researchers and practitioners alike, and to stimulate and facilitate future research in capacitive sensing.
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| Dokumentenart | Buchkapitel | ||||
| ISBN | 978-1-4503-4655-9 | ||||
| Buchtitel: | CHI'17 : Proceedings of the 2017 ACM SIGCHI Conference on Human Factors in Computing Systems, May 6-11, 2017, Denver, CO, USA | ||||
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| Verlag: | ACM | ||||
| Ort der Veröffentlichung: | New York, NY, USA | ||||
| Datum | Mai 2017 | ||||
| Institutionen | Sprach- und Literatur- und Kulturwissenschaften > Institut für Information und Medien, Sprache und Kultur (I:IMSK) > Lehrstuhl für Medieninformatik (Prof. Dr. Christian Wolff) Informatik und Data Science > Fachbereich Menschzentrierte Informatik > Lehrstuhl für Medieninformatik (Prof. Dr. Christian Wolff) | ||||
| Identifikationsnummer |
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| Verwandte URLs |
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| Stichwörter / Keywords | survey, capacitive sensing, electric field sensing | ||||
| Dewey-Dezimal-Klassifikation | 000 Informatik, Informationswissenschaft, allgemeine Werke > 004 Informatik 600 Technik, Medizin, angewandte Wissenschaften > 600 Technik | ||||
| Status | Veröffentlicht | ||||
| Begutachtet | Ja, diese Version wurde begutachtet | ||||
| An der Universität Regensburg entstanden | Ja | ||||
| URN der UB Regensburg | urn:nbn:de:bvb:355-epub-357688 | ||||
| Dokumenten-ID | 35768 |
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