Recently, progresses have been made in hand gesture recognition based on Doppler radar sensors. However, it remains a technical challenge to avoid the interfering human motions. An example is detecting hand gestures in the presence of random body movements. In this paper, we propose a solution based on a Single-input Multiple-output frontend and a blind motion separation algorithm. Assisted by an additional receiving channel, Doppler signals caused by different motions can be separated by extending the algorithm originally developed for separating human voices. The experimental separation of hand gestures from interfering movements verified the effectiveness of this approach. The proposed solution can be potentially used in novel applications such as human gait and gesture recognitions.
|Number of pages||3|
|Journal||IEEE Transactions on Instrumentation and Measurement|
|State||Published - Jul 2019|
- Blind motion separation
- Doppler radar sensor (DRS)
- gesture recognition
- independent component analysis (ICA)