Name
Abstract | ||
|---|---|---|
We present results from a system which uses received signal strength (RSS) measurements to estimate the speed at which a person is walking when they cross the link line. While many RSS-based device-free localization systems can detect a line crossing, this system estimates additionally the speed of crossing, which can provide significant additional information to a tracking system. Further, unlike device-free RF sensors which occupy tens of MHz of bandwidth, this system uses a channel of about 10 kHz. Experiments with a person walking from 0.3 to 1.8 m/s show the system can measure walking speed within 0.05 m/s RMS error.
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Year | DOI | Venue |
|---|---|---|
2017 | 10.1145/3117811.3131253 | MobiCom '17: The 23rd Annual International Conference on Mobile Computing and Networking
Snowbird
Utah
USA
October, 2017 |
Field | DocType | ISBN |
Narrowband,Computer science,Tracking system,Computer network,Communication channel,Electronic engineering,Bandwidth (signal processing),Root-mean-square deviation,Signal strength,RSS,Preferred walking speed,Embedded system | Conference | 978-1-4503-4916-1 |
Citations | PageRank | References |
1 | 0.37 | 9 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Alemayehu Solomon Abrar | 1 | 11 | 3.02 |
| Anh Luong | 2 | 24 | 6.05 |
| Peter Hillyard | 3 | 8 | 4.01 |
| Neal Patwari | 4 | 3805 | 241.58 |