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Enabling Driver Feet Gestures Using Capacitive Proximity Sensing

Frank, Sebastian ; Kuijper, Arjan (2018)
Enabling Driver Feet Gestures Using Capacitive Proximity Sensing.
International Conference on Intelligent Environments (IE). Roma, Italy (25.06.2018-28.06.2018)
doi: 10.1109/IE.2018.00012
Konferenzveröffentlichung, Bibliographie

Kurzbeschreibung (Abstract)

Due to driver assistance systems and the trend of industry towards automated driving, the hands and feet of the driver in a vehicle require less intervention, becoming even idle. Recent gesture recognition focuses on hand interaction. This paper provides feet gesture interaction. Many gesture recognition systems rely on computing intensive video systems, causing privacy concerns. Furthermore, these systems require a line of sight and therefore a visible interior design integration. Our system proves that invisibly integrated capacitive proximity sensors can do this as well. They do not cause privacy issues and can be integrated under non-conductive materials. Therefore, there is no impact on the design of the visible interior. Our proposed solution distinguishes between four feet gestures. There is no limitation to feet movement. Further, we prove the functionality of the system in an evaluation with six participants, using a prototypical mock-up of a vehicle legroom.

Typ des Eintrags: Konferenzveröffentlichung
Erschienen: 2018
Autor(en): Frank, Sebastian ; Kuijper, Arjan
Art des Eintrags: Bibliographie
Titel: Enabling Driver Feet Gestures Using Capacitive Proximity Sensing
Sprache: Englisch
Publikationsjahr: 2018
Ort: Los Alamitos
Verlag: IEEE
Buchtitel: 2018 14th International Conference on Intelligent Environments (IE)
Veranstaltungstitel: International Conference on Intelligent Environments (IE)
Veranstaltungsort: Roma, Italy
Veranstaltungsdatum: 25.06.2018-28.06.2018
DOI: 10.1109/IE.2018.00012
URL / URN: https://doi.org/10.1109/IE.2018.00012
Kurzbeschreibung (Abstract):

Due to driver assistance systems and the trend of industry towards automated driving, the hands and feet of the driver in a vehicle require less intervention, becoming even idle. Recent gesture recognition focuses on hand interaction. This paper provides feet gesture interaction. Many gesture recognition systems rely on computing intensive video systems, causing privacy concerns. Furthermore, these systems require a line of sight and therefore a visible interior design integration. Our system proves that invisibly integrated capacitive proximity sensors can do this as well. They do not cause privacy issues and can be integrated under non-conductive materials. Therefore, there is no impact on the design of the visible interior. Our proposed solution distinguishes between four feet gestures. There is no limitation to feet movement. Further, we prove the functionality of the system in an evaluation with six participants, using a prototypical mock-up of a vehicle legroom.

Freie Schlagworte: Capacitive sensors, Gesture recognition, Advanced driver assistance systems (ADAS), Input devices, Ambient intelligence (AmI)
Fachbereich(e)/-gebiet(e): 20 Fachbereich Informatik
20 Fachbereich Informatik > Graphisch-Interaktive Systeme
20 Fachbereich Informatik > Mathematisches und angewandtes Visual Computing
Hinterlegungsdatum: 26 Jun 2019 11:45
Letzte Änderung: 03 Jul 2024 10:39
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