Name
Abstract | ||
|---|---|---|
Mobile sensor-based activity recognition is a growing research field with important applications areas, such as healthcare and well-being. Data collected from multiple sensors, including smartphone sensors that are now ubiquitous, can be exploited to build predictive models capable of recognizing actions and activities performed by humans in their daily life. This involves several processing steps... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/MDM52706.2021.00037 | 2021 22nd IEEE International Conference on Mobile Data Management (MDM) |
Keywords | DocType | ISSN |
human activity recognition,mobile sensor data,machine learning,feature selection | Conference | 1551-6245 |
ISBN | Citations | PageRank |
978-1-6654-2845-3 | 0 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Andrea Loddo | 1 | 12 | 5.43 |
| Barbara Pes | 2 | 118 | 20.87 |
| Daniele Riboni | 3 | 1223 | 60.98 |