Frugal Heart Rate Correction Method for Scalable Health and Safety Monitoring in Construction Sites.

ABSTRACT: Continuous, real-time monitoring of occupational health and safety in high-risk workplaces such as construction sites can substantially improve the safety of workers. However, introducing such systems in practice is associated with a number of challenges, such as scaling up the solution while keeping its cost low. In this context, this work investigates the use of an off-the-shelf, low-cost smartwatch to detect health issues based on heart rate monitoring in a privacy-preserving manner. To improve the smartwatch's low measurement quality, a novel, frugal machine learning method is proposed that corrects measurement errors, along with a new dataset for this task. This method's integration with the smartwatch and the remaining parts of the health and safety monitoring system (built on the AS

SUBMITTER: Sowinski P 

PROVIDER: S-EPMC10385062 | biostudies-literature | 2023 Jul

REPOSITORIES: biostudies-literature