This paper introduces activity recognition based on our proposed array sensor. The array sensor consists of an antenna array on the receiver side and decomposes received signals into eigenvectors and eigenvalues. It exploits these components depending on its applications, such as activity recognition. When an event occurs, the propagation environment changes, and thus the eigenvector and eigenvalue change. Eigenvector and corresponding eigenvalue are inherent to their propagation environments so that to activity as well. Based on the change of these components, we can detect an activity accurately. In addition, using machine learning based on these components, the proposed array sensor can classify several more complex states and activities. This paper also introduces various applications of array sensor.
|出版ステータス||Published - 2011 12月 1|
|イベント||Asia-Pacific Signal and Information Processing Association Annual Summit and Conference 2011, APSIPA ASC 2011 - Xi'an, China|
継続期間: 2011 10月 18 → 2011 10月 21
|Other||Asia-Pacific Signal and Information Processing Association Annual Summit and Conference 2011, APSIPA ASC 2011|
|Period||11/10/18 → 11/10/21|
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