Human sensing using wearable wireless sensors for smart environments

In this paper, the author proposes a prototype of smart system using wearable wireless sensors to realize smart environments. To provide appropriate personalized services, human information needs to be monitored, analyzed and fed back. We have developed a wearable sensing system which measures biological data and activity data in daily life using body area network technologies. To deal with human information, the author also proposes a state estimation model for evaluating thermal sensation based on hierarchal hidden Markov model. The model is learned from biological data and environmental data using neural network. The system could control appropriately the thermal environment to make each person feel comfortable under energy-saving conditions based on real-time personal conditions and environmental condition.