A data analytic end-to-end framework for the automated quantification of ergonomic risk factors across multiple tasks using a single wearable sensor

Existing ergonomic risk assessment tools require monitoring of multiple risk factors. To eliminate the direct observation, we investigated the effectiveness of an end-to-end framework that works with the data from a single wearable sensor. The framework is used to identify the performed task as the...

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Veröffentlicht in:	Applied ergonomics 2022-07, Vol.102, p.103732-103732, Article 103732
Hauptverfasser:	Lamooki, Saeb Ragani, Hajifar, Sahand, Kang, Jiyeon, Sun, Hongyue, Megahed, Fadel M., Cavuoto, Lora A.
Format:	Artikel
Sprache:	eng
Schlagworte:	Change point detection Data Science End-to-end learning Ergonomic risk assessment Ergonomics Human performance modeling Humans Risk Factors Wavelets Wearable Electronic Devices Wearable sensors Workplace
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