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CapTap - Combining Capacitive Gesture Recognition and Acoustic Touch Detection

Braun, Andreas and Zander-Walz, Sebastian and Krepp, Stefan and Rus, Silvia and Wichert, Reiner and Kuijper, Arjan (2016):
CapTap - Combining Capacitive Gesture Recognition and Acoustic Touch Detection.
ACM Press, New York, In: iWOAR 2016, Rostock, Germany, 23. - 24. June 2016, In: ACM International Conference Proceedings Series; 1183, DOI: 10.1145/2948963.2948969, [Conference or Workshop Item]

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.

Item Type: Conference or Workshop Item
Erschienen: 2016
Creators: Braun, Andreas and Zander-Walz, Sebastian and Krepp, Stefan and Rus, Silvia and Wichert, Reiner and Kuijper, Arjan
Title: CapTap - Combining Capacitive Gesture Recognition and Acoustic Touch Detection
Language: English
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.

Series Name: ACM International Conference Proceedings Series; 1183
Publisher: ACM Press, New York
Uncontrolled Keywords: Guiding Theme: Digitized Work, Research Area: Human computer interaction (HCI), Capacitive sensors, Capacitive proximity sensing, Gesture recognition
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Interactive Graphics Systems
20 Department of Computer Science > Mathematical and Applied Visual Computing
Event Title: iWOAR 2016
Event Location: Rostock, Germany
Event Dates: 23. - 24. June 2016
Date Deposited: 03 May 2019 05:31
DOI: 10.1145/2948963.2948969
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