Evaluation of Wearable-Based Activity Recognition Modeling Applications for Logging Safety

This pilot project is integrating geospatial technology and activity recognition modeling into a Garmin smartwatch and smartphone application for rigging crew workers in the logging industry. This application aims to prevent injuries by improving loggers’ situational awareness by providing real-time updates of their coworkers’ work activity status and location.

To date, we have presented the methodology of the study to 300 loggers and found widespread support for this system. The completed analysis results of field study data collected on active logging operations suggest wearable, GNSS-enabled watch sensor data has a high potential for the development of smart alerts to inform co-workers of work-related incidents.

Final Report 

Principal Investigator: Robert Keefe, PhD, MS
Associate Professor, University of Idaho
Director, University of Idaho Experimental Forest