# Human Activity Recognition using Deep Learning

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/human-activity-recognition-using-deep-learning/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Ramu Moola,Ashraf Hossain |
| Citations | 9 |
| DOI | 10.23919/ursi-rcrs56822.2022.10118525 |
| Fields | Computer Science,Engineering |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4376482767 |
| Type | conference-paper |
| Year | 2022 |

## Paper authors

- [Ramu Moola](https://scholariq.org/researchers/ramu-moola/)

## Paper primary topic

- [Context-Aware Activity Recognition Systems](https://scholariq.org/topics/context-aware-activity-recognition-systems/)

## Paper topics

- [Context-Aware Activity Recognition Systems](https://scholariq.org/topics/context-aware-activity-recognition-systems/)
- [IoT and Edge/Fog Computing](https://scholariq.org/topics/iot-and-edge-fog-computing/)
- [IoT and GPS-based Vehicle Safety Systems](https://scholariq.org/topics/iot-and-gps-based-vehicle-safety-systems/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.