Braun, Andreas ; Frank, Sebastian ; Wichert, Reiner (2015)
The Capacitive Chair.
Distributed, Ambient, and Pervasive Interactions, Third International Conference, DAPI 2015.
doi: 10.1007/978-3-319-20804-6_36
Conference or Workshop Item, Bibliographie
Abstract
Modern office work often consists of spending long hours in a sitting position. This can cause a number of health-related issues, including chronic back pain. Ergonomic sitting requires suitably adjusted chairs and switching through a variety of different sitting positions throughout the day. Smart furniture can support this positive behavior, by recognizing poses and activities and giving suitable feedback to the occupant. In this work we present the Capacitive Chair. A number of capacitive proximity sensors are integrated into a regular office chair and can sense various physiological parameters, ranging from pose to activity levels or breathing rate recognition. We discuss a suitable sensor layouts and processing methods that enable detecting activity levels, posture and breathing rate. The system is evaluated in two user studies that test the activity recognition throughout a work week and the recognition rate of different poses.
| Item Type: | Conference or Workshop Item |
|---|---|
| Erschienen: | 2015 |
| Creators: | Braun, Andreas ; Frank, Sebastian ; Wichert, Reiner |
| Type of entry: | Bibliographie |
| Title: | The Capacitive Chair |
| Language: | English |
| Date: | 2015 |
| Publisher: | Springer International Publishing |
| Book Title: | Distributed, Ambient, and Pervasive Interactions, Proceedings |
| Series: | Lecture Notes in Computer Science (LNCS); 9189 |
| Event Title: | Distributed, Ambient, and Pervasive Interactions, Third International Conference, DAPI 2015 |
| DOI: | 10.1007/978-3-319-20804-6_36 |
| Abstract: | Modern office work often consists of spending long hours in a sitting position. This can cause a number of health-related issues, including chronic back pain. Ergonomic sitting requires suitably adjusted chairs and switching through a variety of different sitting positions throughout the day. Smart furniture can support this positive behavior, by recognizing poses and activities and giving suitable feedback to the occupant. In this work we present the Capacitive Chair. A number of capacitive proximity sensors are integrated into a regular office chair and can sense various physiological parameters, ranging from pose to activity levels or breathing rate recognition. We discuss a suitable sensor layouts and processing methods that enable detecting activity levels, posture and breathing rate. The system is evaluated in two user studies that test the activity recognition throughout a work week and the recognition rate of different poses. |
| Uncontrolled Keywords: | Business Field: Digital society, Research Area: Human computer interaction (HCI), Posture recognition, Capacitive sensors, Capacitive proximity sensing, Smart environments |
| Divisions: | 20 Department of Computer Science 20 Department of Computer Science > Interactive Graphics Systems |
| Date Deposited: | 08 May 2019 07:59 |
| Last Modified: | 08 May 2019 07:59 |
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