TU Darmstadt / ULB / TUbiblio

Robust driver foot tracking and foot gesture recognition using capacitive proximity sensing

Frank, Sebastian and Kuijper, Arjan (2019):
Robust driver foot tracking and foot gesture recognition using capacitive proximity sensing.
In: Journal of Ambient Intelligence and Smart Environments, pp. 221-235, 11, (3), ISSN 18761364,
DOI: 10.3233/AIS-190522,
[Online-Edition: https://doi.org/10.3233/AIS-190522],
[Article]

Abstract

Nowadays, there is an increasing trend towards automated driving. This is supported by both driver assistance systems getting more and more available and powerful, and research for car manufacturing industries. As a consequence, driver hands and feet are less involved in vehicle control. Increasing automation will even let them become idle. Recent gesture recognition mainly focuses on hand interaction. This work focuses on possibilities for feet gesture interaction. Many gesture recognition systems rely on computing intensive, privacy concerns causing video systems. Furthermore, these systems require a line of sight and therefore visible interior design integration. The proposed system shows that invisibly integrated capacitive proximity sensors can do the job, too. They do not cause privacy issues and they can be integrated under non-conductive materials. Therefore, there is no visible interior design impact. The proposed solution distinguishes between four feet gestures. There is no limitation to feet movement. Further, an evaluation including six participants and a vehicle legroom mockup shows the system function. This work contributes to the basis of driver foot gesture recognition pointing to further applications and more comprehensive investigations.

Item Type: Article
Erschienen: 2019
Creators: Frank, Sebastian and Kuijper, Arjan
Title: Robust driver foot tracking and foot gesture recognition using capacitive proximity sensing
Language: English
Abstract:

Nowadays, there is an increasing trend towards automated driving. This is supported by both driver assistance systems getting more and more available and powerful, and research for car manufacturing industries. As a consequence, driver hands and feet are less involved in vehicle control. Increasing automation will even let them become idle. Recent gesture recognition mainly focuses on hand interaction. This work focuses on possibilities for feet gesture interaction. Many gesture recognition systems rely on computing intensive, privacy concerns causing video systems. Furthermore, these systems require a line of sight and therefore visible interior design integration. The proposed system shows that invisibly integrated capacitive proximity sensors can do the job, too. They do not cause privacy issues and they can be integrated under non-conductive materials. Therefore, there is no visible interior design impact. The proposed solution distinguishes between four feet gestures. There is no limitation to feet movement. Further, an evaluation including six participants and a vehicle legroom mockup shows the system function. This work contributes to the basis of driver foot gesture recognition pointing to further applications and more comprehensive investigations.

Journal or Publication Title: Journal of Ambient Intelligence and Smart Environments
Volume: 11
Number: 3
Uncontrolled Keywords: Capacitive sensors, Gesture recognition, Advanced driver assistance systems (ADAS), Input devices, Ambient intelligence (AmI)
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Interactive Graphics Systems
20 Department of Computer Science > Mathematical and Applied Visual Computing
Date Deposited: 01 Jul 2019 08:40
DOI: 10.3233/AIS-190522
Official URL: https://doi.org/10.3233/AIS-190522
Export:
Suche nach Titel in: TUfind oder in Google

Optionen (nur für Redakteure)

View Item View Item