July 23, 2021
Conference Paper

Sensalert: A Real-time Group and Individual Health Tracking Application

Abstract

Sensalert is a wearable health tracking application that enables monitoring of a target population’s health status in real-time. The application integrates health monitoring parameters from wearable sensors, e.g., temperature and heart rate, with relevant environmental parameters, e.g., weather and topography, and calculates the corresponding physiological strain index for each point in time. The objective of this application is to provide early warning, support decision making, and increase situational awareness by displaying comprehensive information and providing alerts at the right time and place. This application is the first of its kind being developed for integration into the Defense Threat Reduction Agencies Bio Surveillance Ecosystem (BSVE). We present the user requirements and design principles for developing this type of application. We hope this work helps and inspires future research in the area of wearable technologies for surveillance.

Published: July 23, 2021

Citation

Huang Z., D.P. Wright, M.J. Henry, and L.E. Charles. 2018. Sensalert: A Real-time Group and Individual Health Tracking Application. In Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems (CHI EA 2018), April 21-26, 2018, Montreal, Canada, Paper No. LBW581. New York, New York:ACM. PNNL-SA-131937. doi:10.1145/3170427.3188675