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

Fu, Biying ; Große-Puppendahl, Tobias ; Kuijper, Arjan (2015)
A Gesture Recognition Method for Proximity-Sensing Surfaces in Smart Environments.
Distributed, Ambient, and Pervasive Interactions, Third International Conference, DAPI 2015. Los Angeles, CA, USA (August 2-7, 2015)
doi: 10.1007/978-3-319-20804-6_15
Konferenzveröffentlichung, Bibliographie

Kurzbeschreibung (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.

Typ des Eintrags: Konferenzveröffentlichung
Erschienen: 2015
Autor(en): Fu, Biying ; Große-Puppendahl, Tobias ; Kuijper, Arjan
Art des Eintrags: Bibliographie
Titel: A Gesture Recognition Method for Proximity-Sensing Surfaces in Smart Environments
Sprache: Englisch
Publikationsjahr: August 2015
Verlag: Springer International Publishing
Buchtitel: Distributed, Ambient, and Pervasive Interactions, Proceedings
Reihe: Lecture Notes in Computer Science (LNCS); 9189
Veranstaltungstitel: Distributed, Ambient, and Pervasive Interactions, Third International Conference, DAPI 2015
Veranstaltungsort: Los Angeles, CA, USA
Veranstaltungsdatum: August 2-7, 2015
DOI: 10.1007/978-3-319-20804-6_15
Kurzbeschreibung (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.

Freie Schlagworte: Business Field: Digital society, Research Area: Human computer interaction (HCI), Gesture recognition, Capacitive sensors, Capacitive proximity sensing
Fachbereich(e)/-gebiet(e): 20 Fachbereich Informatik
20 Fachbereich Informatik > Graphisch-Interaktive Systeme
Hinterlegungsdatum: 08 Mai 2019 08:06
Letzte Änderung: 08 Mai 2019 08:06
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