Saving lives with smart forestry: a wearable-based digital safety app integrated with real-time personal location-sharing to improve avoidance, detection and response to logging accidents
Director University of Idaho Experimental Forest Potlatch, Idaho, United States
We describe a new research project developing a smartwatch app based on human activity recognition (HAR) modeling of workers on logging operations that is integrated with real-time location sharing with mobile ad-hoc networks. This work demonstrates how smart forestry IoT systems may help improve safety and productivity on forestry.
Learning Objectives:
Understand efforts using networked devices and equipment in smart forestry to help improve the safety and health of workers
Understand how smartwatches sensors can be used to model, study and inform human work activities
Envision new uses for how networked devices may help inform treatment operations in ways that integrate people, equipment and stand conditions in real-time
