Abstract
Worldwide, recent changes in the work environment affected workspace ergonomics conditions over long periods of time. This extended period of bad ergonomic conditions hindered the ability to maintain good posture, aggravating the postural challenges of the typical office worker that spends 15 h seated each day and leading to a surge of the prevalence of lower back and neck pain. Bad posture initially leads to muscle, disc, and joint pain, and can evolve to serious conditions. Therefore, the monitoring of spatial and temporal characteristics of the hip and back is of utmost importance for injury prevention. We developed an IoT platform that employs a sensor fusion array methods to collect specific postural information during long term usage. The collected data was used to assemble a Postural Dashboard, employing data visualization and Exploratory Data Analysis (EDA) to provide descriptive statistics data and allow the investigation of a user’s long-term postural patterns.
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André, R.d.P., Fonseca, A., Yokoyama, K., Westfal, L., Laguardia, L., de Souza, M. (2023). A Platform for Long-Term Analysis and Reporting of Sitting Posture. In: Duffy, V.G. (eds) Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management. HCII 2023. Lecture Notes in Computer Science, vol 14028. Springer, Cham. https://doi.org/10.1007/978-3-031-35741-1_3
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