Cargando…
Predicting Emotion and Engagement of Workers in Order Picking Based on Behavior and Pulse Waves Acquired by Wearable Devices
Many logistics companies adopt a manual order picking system. In related research, the effect of emotion and engagement on work efficiency and human errors was verified. However, related research has not established a method to predict emotion and engagement during work with high exercise intensity....
Autores principales: | Kajiwara, Yusuke, Shimauchi, Toshihiko, Kimura, Haruhiko |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6339161/ https://www.ncbi.nlm.nih.gov/pubmed/30621235 http://dx.doi.org/10.3390/s19010165 |
Ejemplares similares
-
Ultrafast optomechanical pulse picking
por: Lilienfein, Nikolai, et al.
Publicado: (2017) -
Wearable Pulse Wave Monitoring System Based on MEMS Sensors
por: Sun, Yu, et al.
Publicado: (2018) -
Object Identification and Safe Route Recommendation Based on Human Flow for the Visually Impaired
por: Kajiwara, Yusuke, et al.
Publicado: (2019) -
Predicting the Coping Skills of Older Drivers in the Face of Unexpected Situation
por: Kajiwara, Yusuke, et al.
Publicado: (2021) -
Load Position Estimation Method for Wearable Devices Based on Difference in Pulse Wave Arrival Time †
por: Yoshida, Kazuki, et al.
Publicado: (2022)