Informationally structured space for multimodal monitoring in smart houses

Abstract

Recently, various types of wireless sensor network systems have been developed. Their price has also been reduced, and we can easily use such systems to monitor human states and behaviors in a house. Furthermore, such kind of information is useful for elderly care and nursing care by robot partners. However, we have to integrate different types of data measured by each sensor node to estimate human states and behaviors. If the measurement data are organized and structured, the monitoring system can do flexible monitoring and share the information. Therefore, we have proposed the concept of Informationally Structured Space (ISS). This paper proposes a methodology for human behavior estimation by wireless sensor networks in ISS. Next, we propose a monitoring system for sensor state and human behavior using ISS. Finally, we show several experimental results and discuss the effectiveness of the proposed method.