Activity awareness based on simple sensors

The basic concept of smart environment is to be aware of the context information related to environmental and human behavioral changes, and to provide appropriate services accordingly. To obtain the context information, people often use video cameras, microphones, and other devices. These devices can obtain a wealth of environmental information, but could easily lead to privacy issues. Large environmental information also need more computing resources to process the information. In this paper, we study human behavior identification based on simple sensors. Using fuzzy logic we analyze the sensor data and try to identify four different activities. Experimental results show that the proposed method can correctly identify 83.7^% of these four activities. Results given here will be useful for designing smart homes, smart office, and so on.