Name
Abstract | ||
|---|---|---|
Smart environment is a situation aware system for improving the quality of life. This kind of systems are extremely useful for solving or avoiding several issues. The issue we consider in this research is the care of elderly peoples living in their own homes. Usually, information needed for situation awareness is obtained from various devices such as video cameras and voice recorders. However, these devices often collect unnecessary information. For example, video images may include face images and conversations of the residents. This may make the residents discomfort. To avoid the problem, we can use only simple sensors (e.g., infrared sensor, temperature sensor and light sensor). To investigate the ability of the simple sensors, we set an experiment environment in a special corner of our laboratory. As the first step, we try to detect some frequently appeared locations of a resident with a sensor array containing seven infrared sensors. Experimental results show that the sensor array is quite effective, and is able to recognize the resident locations with a relatively high accuracy. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/ICMLC.2016.7873006 | 2016 International Conference on Machine Learning and Cybernetics (ICMLC) |
Keywords | Field | DocType |
Smart environment,Situation awareness,Location awareness,Sensor array,Sensor data analysis,Neural network | Computer science,Visual sensor network,Sensor array,Real-time computing,Artificial intelligence,Location awareness,Key distribution in wireless sensor networks,Image sensor,Intelligent sensor,Mobile wireless sensor network,Wireless sensor network,Machine learning,Embedded system | Conference |
Volume | ISBN | Citations |
2 | 978-1-5090-0391-4 | 1 |
PageRank | References | Authors |
0.43 | 3 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yuta Kobiyama | 1 | 1 | 0.43 |
| Qiangfu Zhao | 2 | 214 | 62.36 |
| Kazuki Omomo | 3 | 1 | 0.43 |