Abstract
We describe a system that uses high-frequency audio signatures for spontaneous device association between mobile devices and physical end-points in smart environments. The system utilizes a method for extracting signatures from recorded audio signals, which we evaluated in two conditions: indoor, where background noise consists of workplace sounds, and urban, where the system is tested in a noisy outdoor setting. The system performed reliably both indoors (100% at distances up to 5 m) and outdoors (97.3%-100% at distances up to 5 m), and a slight performance drop was measured when the mobile device was allowed to move freely (89.2% indoors, 84.1% outdoors). Further, we evaluated the system's performance with an occluded receiver, and measured the battery consumption on the mobile device. Our system provides a practical and reliable means for ad-hoc service and object discovery in urban computing settings.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of Audio Mostly 2016 |
| Subtitle of host publication | A Conference on Interaction with Sound, AM 2016 |
| Publisher | Association for Computing Machinery ACM |
| Pages | 91-96 |
| Number of pages | 6 |
| ISBN (Electronic) | 978-1-4503-4822-5 |
| DOIs | |
| Publication status | Published - 4 Oct 2016 |
| MoE publication type | A4 Article in a conference publication |
| Event | Audio Mostly 2016, AM 2016 - Norrkoping, Sweden Duration: 4 Oct 2016 → 6 Oct 2016 |
Conference
| Conference | Audio Mostly 2016, AM 2016 |
|---|---|
| Country/Territory | Sweden |
| City | Norrkoping |
| Period | 4/10/16 → 6/10/16 |
Keywords
- Audio
- Device association
- Device discovery
- Device pairing
- Smart environments
- Smart space
- Ubiquitous computing