| Autor: |
Toshinari Kamakura, Kurato Maeno, Masatoshi Sekine |
| Rok vydání: |
2012 |
| Předmět: |
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| Zdroj: |
2012 8th IEEE International Symposium on Instrumentation and Control Technology (ISICT) Proceedings. |
| DOI: |
10.1109/isict.2012.6291657 |
| Popis: |
Using a Doppler radar as a motion sensor is promising for monitoring human daily activities. Various detection algorithms for human activities and vital signs have been proposed; however, most require a controlled environment and do not allow for the presence of moving objects in the sensing area. In actuality, motor-actuated appliances such as electric fans and heaters are often noise sources in homes. The velocities of such appliances overlap with those of a person and can cause a Doppler effect even without human presence. We resolve this issue in the current study by analyzing motion regularity. To detect the irregular motions that characterize a person's presence, we utilize the prediction errors from an autoregressive model. A performance evaluation of the proposed algorithm shows that high accuracy is achieved for human detection under disturbances caused by electric appliance motions. Moreover, our method outperforms the conventional frequency-based method that uses power spectra of the Doppler signal. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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