# A Framework for Monitoring Human Physiological Response during Human Robot Collaborative Task

## TL;DR

This paper introduces a framework for real-time monitoring of human physiological responses during human-robot collaboration, emphasizing synchronized data collection, event marking, and analysis through case studies and visualization tools.

## Contribution

It presents a novel framework that integrates physiological data collection, event synchronization, and visualization for HRC tasks, enabling detailed analysis of human responses.

## Key findings

- Effective synchronization of human and robot data streams.
- Successful implementation of physiological monitoring during HRC.
- Enhanced analysis through visualization tools.

## Abstract

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.