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
Conference or Workshop Item, Bibliographie
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 ; Kuijper, Arjan |
| Type of entry: | Bibliographie |
| Title: | Enabling Driver Feet Gestures Using Capacitive Proximity Sensing |
| Language: | English |
| Date: | 2018 |
| Place of Publication: | Los Alamitos |
| Publisher: | IEEE |
| Book Title: | 2018 14th International Conference on Intelligent Environments (IE) |
| Event Title: | International Conference on Intelligent Environments (IE) |
| Event Location: | Roma, Italy |
| Event Dates: | 25.06.2018-28.06.2018 |
| DOI: | 10.1109/IE.2018.00012 |
| URL / URN: | https://doi.org/10.1109/IE.2018.00012 |
| 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. |
| 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: | 26 Jun 2019 11:45 |
| Last Modified: | 03 Jul 2024 10:39 |
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