# Evaluation of Accelerometer-Based Fall Detection Algorithms on Real-World Falls

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/evaluation-of-accelerometer-based-fall-detection-algorithms-on-real-world-falls/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Fabio Bagalà,Clemens Becker,Angelo Cappello,Lorenzo Chiari,Kamiar Aminian,Jeffrey M. Hausdorff,Wiebren Zijlstra,Jochen Klenk |
| Citations | 459 |
| DOI | 10.1371/journal.pone.0037062 |
| Fields | Computer Science,Engineering,Health Professions |
| Open Access | true |
| OA Status | gold |
| OA URL | https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0037062&type=printable |
| OpenAlex ID | https://openalex.org/W2017803470 |
| PMID | 22615890 |
| Type | article |
| Year | 2012 |

## Paper authors

- [Jeffrey M. Hausdorff](https://scholariq.org/researchers/jeffrey-m-hausdorff/)
- [Lorenzo Chiari](https://scholariq.org/researchers/lorenzo-chiari/)

## Paper journal

- [PLoS ONE](https://scholariq.org/journals/plos-one/)

## 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/)
- [Balance, Gait, and Falls Prevention](https://scholariq.org/topics/balance-gait-and-falls-prevention/)
- [Non-Invasive Vital Sign Monitoring](https://scholariq.org/topics/non-invasive-vital-sign-monitoring/)

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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.