Name
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/ICAwST.2014.6981827 | Awareness Science and Technology |
Keywords | Field | DocType |
data analysis,ergonomics,fuzzy logic,home automation,sensor fusion,social aspects of automation,ubiquitous computing,activity awareness,context information,environmental information,human behavior identification,sensor data analysis,smart environment,simple sensors,privacy,intelligent sensors | Smart environment,Intelligent sensor,Computer science,Computer security,Internet of Things,Fuzzy logic,Smart office,Activity awareness | Conference |
Citations | PageRank | References |
1 | 0.37 | 9 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chia-Ming Tsai | 1 | 172 | 14.19 |
| Qiangfu Zhao | 2 | 214 | 62.36 |
| Rung-Ching Chen | 3 | 331 | 37.37 |
| Taya, M. | 4 | 4 | 1.07 |