A key health risk in the construction industry is the hand-arm vibration syndrome (HAVS), which is caused by working with highly vibrating tools. To date, there are only limited options for monitoring the duration and intensity of vibration exposure, especially when several tools are in use.
In the study, Assoc. Prof. Dr. Johannes Schneider analyzed movement data recorded during the use of combi-hammers using a smartwatch. This data made it possible to precisely determine the intensity with which the combi hammers were used and for which activities.
The knowledge gained forms the basis for future measures to prevent the hand-arm vibration syndrome. For example, the individual vibration exposure time could be transmitted directly to the worker to warn them against excessive use of the tools. At the same time, the planning office can benefit from an aggregated overview of vibration exposure, enabling more efficient and cost-saving planning of tasks, personnel and equipment - all while complying with HAVS limits.
The study, published in the trade journal “Automation in Construction”, impressively demonstrates how close collaboration between university and industry can lead to innovative solutions that benefit both partners and the industry as a whole.
Details of the study:
https://www.sciencedirect.com/science/article/pii/S0926580524004205#d1e1065
Altheimer, J., & Schneider, J. (2024). Smart-watch-based construction worker activity recognition with hand-held power tools. <i>Automation in Construction</i><i>, 167</i>