# Elderly fall detection based on multi-stream deep convolutional networks

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/elderly-fall-detection-based-on-multi-stream-deep-convolutional-networks/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Chadia Khraief,Faouzi Benzarti,Hamid Amiri |
| Citations | 73 |
| DOI | 10.1007/s11042-020-08812-x |
| Fields | Computer Science,Engineering |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W3013087415 |
| Type | article |
| Year | 2020 |

## Paper authors

- [Faouzi Benzarti](https://scholariq.org/researchers/faouzi-benzarti/)

## 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/)
- [Gait Recognition and Analysis](https://scholariq.org/topics/gait-recognition-and-analysis/)

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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.