Pressure and force for masonry cutting using flexible sensor enabled gloves

Published: 29 December 2021| Version 1 | DOI: 10.17632/3vgdw9mmw8.1
, Roger Tipton


Using flexible sensor enabled gloves by masonry construction workers during the cutting of concrete slabs, concrete roadways, and granite slabs provides pressure and force data that can be used to drive human factors and ergonomic projects to improve worker health and safety. Video of the process of cutting the masonry is provided. Video of the pressure map and pressure data as a function of time for both the left and right hand during masonry cutting is provided.


Steps to reproduce

Healthy construction workers consisting of 3 males between the ages of 24 and 48 years were recruited and asked to participate in the testing of different masonry saw configurations where they would be asked to wear sensor enabled fabric gloves and then cut three slabs of concrete, three concrete roadways, and three granite slabs with a circular masonry saw. All test sessions were performed outdoors. Prior to the start of each experiment, a commercially available wearable flexible pressure measurement sensor system designed to be integrated into textile work gloves were attached to participants left and right hands. The equipment was a Tekscan Grip System for tactile grip force and pressure measurement with a Tekscan 4256E pressure mapping sensors. The sensors were embedded into work gloves that were worn by the operator and provided real time data on pressure experienced by the participants hands to the data collection system. The saw used for this experiment is a Husqvarna K760 14-inch masonry saw with a Vari-Cut Turbo 14 blade, part number 53DT82. The concrete slab used was a standard specification and was about 10 cm thick and was cut at a rate of about 15 cm/min. The granite slab was 3 cm thick and cut at about 15 cm/min. The pressure and force on both the left and right hand was acquired at a rate of 50 Hz during the cutting of the slabs by the participants. The cutting was performed for up to 25 seconds.


University of South Florida


Ergonomics, Application of Sensors