A Fuzzy Logic-Based Personalized Method to Classify Perceived Exertion in Workplaces Using a Wearable Heart Rate Sensor
Joint Authors
Pancardo, Pablo
Hernández-Nolasco, J. A.
Acosta-Escalante, Francisco
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-17, 17 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-01-22
Country of Publication
Egypt
No. of Pages
17
Main Subjects
Telecommunications Engineering
Abstract EN
Knowing the perceived exertion of workers during their physical activities facilitates the decision-making of supervisors regarding the worker allocation in the appropriate job, actions to prevent accidents, and reassignment of tasks, among others.
However, although wearable heart rate sensors represent an effective way to capture perceived exertion, ergonomic methods are generic and they do not consider the diffuse nature of the ranges that classify the efforts.
Personalized monitoring is needed to enable a real and efficient classification of perceived individual efforts.
In this paper, we propose a heart rate-based personalized method to assess perceived exertion; our method uses fuzzy logic as an option to manage imprecision and uncertainty in involved variables.
We applied some experiments to cleaning staff and obtained results that highlight the importance of a custom method to classify perceived exertion of people doing physical work.
American Psychological Association (APA)
Pancardo, Pablo& Hernández-Nolasco, J. A.& Acosta-Escalante, Francisco. 2018. A Fuzzy Logic-Based Personalized Method to Classify Perceived Exertion in Workplaces Using a Wearable Heart Rate Sensor. Mobile Information Systems،Vol. 2018, no. 2018, pp.1-17.
https://search.emarefa.net/detail/BIM-1204792
Modern Language Association (MLA)
Pancardo, Pablo…[et al.]. A Fuzzy Logic-Based Personalized Method to Classify Perceived Exertion in Workplaces Using a Wearable Heart Rate Sensor. Mobile Information Systems No. 2018 (2018), pp.1-17.
https://search.emarefa.net/detail/BIM-1204792
American Medical Association (AMA)
Pancardo, Pablo& Hernández-Nolasco, J. A.& Acosta-Escalante, Francisco. A Fuzzy Logic-Based Personalized Method to Classify Perceived Exertion in Workplaces Using a Wearable Heart Rate Sensor. Mobile Information Systems. 2018. Vol. 2018, no. 2018, pp.1-17.
https://search.emarefa.net/detail/BIM-1204792
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1204792