Name
Title | ||
|---|---|---|
Action recognition using spatially distributed radar setup through microdoppler signature |
Abstract | ||
|---|---|---|
Small form factor off-the shelf radar sensor nodes are being investigated for various privacy preserving non-contact sensing applications. This paper, presents a novel method, based on a system of spatially distributed radar setup(panel radar), for real time action recognition. Proposed method uses spatially distributed two single channel Continuous Wave (CW) radars to classify actions. For classification, a unique two layered classifier, is employed on novel features. Layer I performs coarse limb level classification followed by finer action detection in Layer II. For validation of the proposed system, 7 actions were targeted and data was collected for 20 people. Accuracy of 88.6 % was obtained, with a precision and recall of 0.9 and 0.89 respectively, hence proving the efficacy of this novel approach.
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Year | DOI | Venue |
|---|---|---|
2020 | 10.1145/3410530.3414362 | UbiComp/ISWC '20: 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2020 ACM International Symposium on Wearable Computers
Virtual Event
Mexico
September, 2020 |
DocType | ISBN | Citations |
Conference | 978-1-4503-8076-8 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Smriti Rani | 1 | 0 | 0.68 |
| Arijit Chowdhury | 2 | 11 | 7.83 |
| Andrew Gigie | 3 | 0 | 0.68 |
| Tapas Chakravarty | 4 | 27 | 10.60 |
| Arpan Pal | 5 | 195 | 51.41 |