Machine Learning for the Prevention of Injuries in the Construction Industry
The Swedish construction industry is subject to a high rate of occupational injuries, where overload factors are a significant cause. Through Human Activity Recognition, movement data can be collected and analyzed, enabling the identification of harmful movement patterns with the use of machine learning. This study aims to describe the environmental barriers and stakeholder attitudes towards a sma