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CapTap - Combining Capacitive Gesture Recognition and Acoustic Touch Detection

Braun, Andreas ; Zander-Walz, Sebastian ; Krepp, Stefan ; Rus, Silvia ; Wichert, Reiner ; Kuijper, Arjan (2016)
CapTap - Combining Capacitive Gesture Recognition and Acoustic Touch Detection.
iWOAR 2016. Rostock, Germany (23.06.2016-24.06.2016)
doi: 10.1145/2948963.2948969
Konferenzveröffentlichung, Bibliographie

Kurzbeschreibung (Abstract)

Capacitive sensing is a common technology for finger-controlled touch screens. The variety of proximity sensors extends the range, thus supporting mid-air gesture interaction and application below any non-conductive materials. However, this comes at the cost of limited resolution for touch detection. In this paper, we present CapTap, which uses capacitive proximity and acoustic sensing to create an interactive surface that combines mid-air and touch gestures, while being invisibly integrated into living room furniture. We introduce capacitive imaging, investigating the use of computer vision methods to track hand and arm positions and present several use cases for CapTap. In a user study we found that the system has average localization errors of 1.5cm at touch distance and 5cm at an elevation of 20cm above the table. The users found the system intuitive and interesting to use.

Typ des Eintrags: Konferenzveröffentlichung
Erschienen: 2016
Autor(en): Braun, Andreas ; Zander-Walz, Sebastian ; Krepp, Stefan ; Rus, Silvia ; Wichert, Reiner ; Kuijper, Arjan
Art des Eintrags: Bibliographie
Titel: CapTap - Combining Capacitive Gesture Recognition and Acoustic Touch Detection
Sprache: Englisch
Publikationsjahr: Juni 2016
Verlag: ACM Press, New York
Reihe: ACM International Conference Proceedings Series; 1183
Veranstaltungstitel: iWOAR 2016
Veranstaltungsort: Rostock, Germany
Veranstaltungsdatum: 23.06.2016-24.06.2016
DOI: 10.1145/2948963.2948969
Kurzbeschreibung (Abstract):

Capacitive sensing is a common technology for finger-controlled touch screens. The variety of proximity sensors extends the range, thus supporting mid-air gesture interaction and application below any non-conductive materials. However, this comes at the cost of limited resolution for touch detection. In this paper, we present CapTap, which uses capacitive proximity and acoustic sensing to create an interactive surface that combines mid-air and touch gestures, while being invisibly integrated into living room furniture. We introduce capacitive imaging, investigating the use of computer vision methods to track hand and arm positions and present several use cases for CapTap. In a user study we found that the system has average localization errors of 1.5cm at touch distance and 5cm at an elevation of 20cm above the table. The users found the system intuitive and interesting to use.

Freie Schlagworte: Guiding Theme: Digitized Work, Research Area: Human computer interaction (HCI), Capacitive sensors, Capacitive proximity sensing, Gesture recognition
Fachbereich(e)/-gebiet(e): 20 Fachbereich Informatik
20 Fachbereich Informatik > Graphisch-Interaktive Systeme
20 Fachbereich Informatik > Mathematisches und angewandtes Visual Computing
Hinterlegungsdatum: 03 Mai 2019 05:31
Letzte Änderung: 07 Mai 2019 08:36
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