Forestry Workforce Location- and Wearable-based Activity Recognition to Quantify on-the Job Digital Health and Safety Metrics
Logging is among the most dangerous professions in the United States. Manual felling of timber with chainsaws and setting of cable log chokers accounted for 47% of injuries in Idaho between 2011-2014. Building on a recent PNASH pilot project, a library of wearable- and location-based human activity recognition (HAR) models will be developed and coded into a smartwatch app prototype to enhance the safety and efficiency of forestry work in Idaho, Oregon, and Washington through increased situational awareness (SA) among workers on remote cable logging operations.