Name
Abstract | ||
|---|---|---|
There has been an extensive amount of study on cough detection using acoustic features captured from smartphones and smartwatches in the past decade. However, the specificity of the algorithms has always been a concern when exposed to the unseen field data containing cough-like sounds. In this paper, we propose a novel sensor fusion algorithm that employs a hybrid of classification and template ma... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/BSN51625.2021.9507017 | 2021 IEEE 17th International Conference on Wearable and Implantable Body Sensor Networks (BSN) |
Keywords | DocType | ISBN |
Sensor fusion,template matching,DTW | Conference | 978-1-6654-0362-7 |
Citations | PageRank | References |
1 | 0.37 | 0 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ebrahim Nemati | 1 | 84 | 15.30 |
| Shibo Zhang | 2 | 9 | 6.00 |
| Tousif Ahmed | 3 | 2 | 2.10 |
| Md. Mahmudur Rahman | 4 | 17 | 16.00 |
| Jilong Kuang | 5 | 38 | 17.00 |
| Alex Gao | 6 | 1 | 3.08 |