Monitoring the Well-Being of a Person Using a Robotic-Sensor Framework

Abstract

Applications of robotic and wearable sensors based systems for human assistance or health monitoring have been gaining popularity in recent years. Among its diverse applications, therapeutic robotic systems have been utilized in the muscular physiotherapies for movement training, wrist and arm treatment for injuries and overexertions, and other therapies. Applications of wearable sensors for human assistance or health monitoring have been also gaining popularity in recent years. Wireless wearable sensor systems enable proactive personal health management and the ubiquitous monitoring of vital signs to keep an active watch on immediate health conditions. In this paper, we develop a system that consists of multiple wearable sensors, software agents and robots, where a robot has the intelligence to process its own observed data, the collected wearable sensor data, and to aggregate the information into a single compiled report. Our system is also able to detect severe abnormalities with the well-being of the monitored individual as detected by the sensors and to create immediate alerts. Our preliminary experimental results show that our system is accurate in detecting and monitoring basic human conditions. We posit that the approach of non-invasive monitoring, when combined with an alert system, will make this a desirable personalized well-being monitoring system in future health care.