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Enabling Driver Feet Gestures Using Capacitive Proximity Sensing

Frank, Sebastian and Kuijper, Arjan (2018):
Enabling Driver Feet Gestures Using Capacitive Proximity Sensing.
In: 2018 14th International Conference on Intelligent Environments (IE), Los Alamitos, IEEE, In: International Conference on Intelligent Environments (IE), Roma, Italy, 2018, ISBN 978-1-5386-6844-3,
DOI: 10.1109/IE.2018.00012,
[Online-Edition: https://doi.org/10.1109/IE.2018.00012],
[Conference or Workshop Item]

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.

Item Type: Conference or Workshop Item
Erschienen: 2018
Creators: Frank, Sebastian and Kuijper, Arjan
Title: Enabling Driver Feet Gestures Using Capacitive Proximity Sensing
Language: English
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.

Title of Book: 2018 14th International Conference on Intelligent Environments (IE)
Place of Publication: Los Alamitos
Publisher: IEEE
ISBN: 978-1-5386-6844-3
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
Event Title: International Conference on Intelligent Environments (IE)
Event Location: Roma, Italy
Event Dates: 2018
Date Deposited: 26 Jun 2019 11:45
DOI: 10.1109/IE.2018.00012
Official URL: https://doi.org/10.1109/IE.2018.00012
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