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A Gesture Recognition Method for Proximity-Sensing Surfaces in Smart Environments

Fu, Biying and Große-Puppendahl, Tobias and Kuijper, Arjan (2015):
A Gesture Recognition Method for Proximity-Sensing Surfaces in Smart Environments.
In: Lecture Notes in Computer Science (LNCS); 9189, In: Distributed, Ambient, and Pervasive Interactions, Proceedings, pp. 163-173,
Springer International Publishing, Distributed, Ambient, and Pervasive Interactions, Third International Conference, DAPI 2015, Los Angeles, CA, USA, August 2-7, 2015, DOI: 10.1007/978-3-319-20804-6₁₅,
[Conference or Workshop Item]

Abstract

In order to ease the daily activities in life, a growing number of sophisticated embedded systems is integrated into an users environment. People are in need to communicate with the machines embedded in the surroundings via interfaces which should be as natural as possible. A very natural way of interaction can be implemented via gestures. Gestures should be intuitive, easy to interpret and to learn. In this paper, we propose a method for in-the-air gesture recognition within smart environments. The algorithm used to determine the performed gesture is based on dynamic time warping. We apply 12 capacitive proximity sensors as sensing area to collect gestures. The hand positions within a gesture are converted into features which will be matched with dynamic time warping. The gesture carried out above the sensing area are interpreted in realtime. Gestures supported can be used to control various applications like entertainment systems or other home automation systems.

Item Type: Conference or Workshop Item
Erschienen: 2015
Creators: Fu, Biying and Große-Puppendahl, Tobias and Kuijper, Arjan
Title: A Gesture Recognition Method for Proximity-Sensing Surfaces in Smart Environments
Language: English
Abstract:

In order to ease the daily activities in life, a growing number of sophisticated embedded systems is integrated into an users environment. People are in need to communicate with the machines embedded in the surroundings via interfaces which should be as natural as possible. A very natural way of interaction can be implemented via gestures. Gestures should be intuitive, easy to interpret and to learn. In this paper, we propose a method for in-the-air gesture recognition within smart environments. The algorithm used to determine the performed gesture is based on dynamic time warping. We apply 12 capacitive proximity sensors as sensing area to collect gestures. The hand positions within a gesture are converted into features which will be matched with dynamic time warping. The gesture carried out above the sensing area are interpreted in realtime. Gestures supported can be used to control various applications like entertainment systems or other home automation systems.

Title of Book: Distributed, Ambient, and Pervasive Interactions, Proceedings
Series Name: Lecture Notes in Computer Science (LNCS); 9189
Publisher: Springer International Publishing
Uncontrolled Keywords: Business Field: Digital society, Research Area: Human computer interaction (HCI), Gesture recognition, Capacitive sensors, Capacitive proximity sensing
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Interactive Graphics Systems
Event Title: Distributed, Ambient, and Pervasive Interactions, Third International Conference, DAPI 2015
Event Location: Los Angeles, CA, USA
Event Dates: August 2-7, 2015
Date Deposited: 08 May 2019 08:06
DOI: 10.1007/978-3-319-20804-6₁₅
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