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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Sigg, S. Blanke, U. Troster, G. |
| Copyright Year | 2014 |
| Description | Author affiliation: Wearable Comput. Lab., ETH Zurich, Zurich, Switzerland (Blanke, U.; Troster, G.) || Georg-August Univ. Goettingen, Gottingen, Germany (Sigg, S.) |
| Abstract | We investigate the use of WiFi Received Signal Strength Information (RSSI) at a mobile phone for the recognition of situations, activities and gestures. In particular, we propose a device-free and passive activity recognition system that does not require any device carried by the user and uses ambient signals. We discuss challenges and lessons learned for the design of such a system on a mobile phone and propose appropriate features to extract activity characteristics from RSSI. We demonstrate the feasibility of recognising activities, gestures and environmental situations from RSSI obtained by a mobile phone. The case studies were conducted over a period of about two months in which about 12 hours of continuous RSSI data was sampled, in two countries and with 11 participants in total. Results demonstrate the potential to utilise RSSI for the extension of the environmental perception of a mobile device as well as for the interaction with touch-free gestures. The system achieves an accuracy of 0.51 while distinguishing as many as 11 gestures and can reach 0.72 on average for four more disparate ones. |
| Sponsorship | IEEE Comput. Soc. |
| Starting Page | 148 |
| Ending Page | 155 |
| File Size | 6802507 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781479934454 |
| DOI | 10.1109/PerCom.2014.6813955 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-03-24 |
| Publisher Place | Hungary |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Accuracy Mobile handsets Sensors IEEE 802.11 Standards Monitoring Conferences Pervasive computing |
| Content Type | Text |
| Resource Type | Article |
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