Deep learning framework for human activity recognition based on sensor fusion in smartphones
Smartphones are ubiquitous devices that offer endless possibilities for health-related applications such as Ambient Assisted Living (AAL). They are rich in sensors that can be used for human activity recognition and monitoring. The emerging problem now is the selection of proper methods to accuratel...
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| Resource Type: | Abschlussarbeit |
| Sprache: | English |
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College of Engineering Library II (UP Diliman)
| Accession # | Call # | Volume/Part# | Copy # | Collection | Circulation Type | Circulation Status |
|---|---|---|---|---|---|---|
| E2-1668TG | LG 995 2019 E64 / S26 | COE Lib 2 Thesis and Archives Section | Room-use Only | On-Shelf |