A Framework for Monitoring Human Physiological Response during Human Robot Collaborative Task
This work addresses the need for better monitoring in human-robot collaboration scenarios, but it is incremental as it builds on existing methods without introducing major innovations.
The paper tackles the problem of monitoring human physiological responses during human-robot collaboration by proposing a framework that generates event markers and synchronizes data, enabling continuous data collection when robot movements are varied as stimuli, with results demonstrated through two case studies and a visualization tool.
In this paper, a framework for monitoring human physiological response during Human-Robot Collaborative (HRC) task is presented. The framework highlights the importance of generation of event markers related to both human and robot, and also synchronization of data collected. This framework enables continuous data collection during an HRC task when changing robot movements as a form of stimuli to invoke a human physiological response. It also presents two case studies based on this framework and a data visualization tool for representation and easy analysis of the collected data during an HRC experiment.