# A robust human activity recognition system using smartphone sensors and deep learning

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/a-robust-human-activity-recognition-system-using-smartphone-sensors-and-deep/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Mohammed Mehedi Hassan,Md. Zia Uddin,Amr Mohamed,Ahmad Almogren |
| Citations | 657 |
| DOI | 10.1016/j.future.2017.11.029 |
| Fields | Computer Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W2770265759 |
| Type | article |
| Year | 2017 |

## Paper authors

- [Ahmad Almogren](https://scholariq.org/researchers/ahmad-almogren/)

## 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/)
- [Human Pose and Action Recognition](https://scholariq.org/topics/human-pose-and-action-recognition/)
- [IoT and Edge/Fog Computing](https://scholariq.org/topics/iot-and-edge-fog-computing/)

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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.