# Monitoring worker fatigue using wearable devices: A case study to detect changes in gait parameters

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/monitoring-worker-fatigue-using-wearable-devices-a-case-study-to-detect-changes/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Amir Baghdadi,Lora Cavuoto,Allison Jones-Farmer,Steven E. Rigdon,Ehsan T. Esfahani,Fadel M. Megahed |
| Citations | 64 |
| DOI | 10.1080/00224065.2019.1640097 |
| Fields | Computer Science,Health Professions |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W2970739974 |
| Type | article |
| Year | 2019 |

## Paper authors

- [Amir Baghdadi](https://scholariq.org/researchers/amir-baghdadi/)
- [Ehsan T. Esfahani](https://scholariq.org/researchers/ehsan-t-esfahani/)

## Paper journal

- [Journal of Quality Technology](https://scholariq.org/journals/journal-of-quality-technology/)

## Paper primary topic

- [Time Series Analysis and Forecasting](https://scholariq.org/topics/time-series-analysis-and-forecasting/)

## Paper topics

- [Time Series Analysis and Forecasting](https://scholariq.org/topics/time-series-analysis-and-forecasting/)
- [Anomaly Detection Techniques and Applications](https://scholariq.org/topics/anomaly-detection-techniques-and-applications/)
- [Balance, Gait, and Falls Prevention](https://scholariq.org/topics/balance-gait-and-falls-prevention/)

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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.