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

Mobile Information Systems

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