OWLS: Observational Wireless Life-enhancing System (Extended Abstract)

摘要

Socially assistive robotics technologies for individuals, who have been affected by age-related disabilities and similar types of disorders, have become popular options for facilitating natural independence and uninterrupted mobility. 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, called OWLS, where multiple wearable sensors, software agents, robots and health analysis technology, have been integrated into a single personal therapy solution (SPTS). Our system uses a reinforcement learning algorithm to make decisions about the user's current health conditions, and to take appropriate actions, as necessary (i.e, contacting outside parties). We show that the approach of non-invasive monitoring, when combined with an alert system, makes this a desirable SPTS in future health care.