Hand gesture recognition with radar sensors is essential because they can detect gestures
despite environmental factors like lighting, dust, and complex backgrounds. Considering the …

Radar-based gesture recognition combined machine learning methods can achieve
excellent performance and has been utilized in a wide variety of applications. However …

In this paper, a deep learning technique for tumor detection in a microwave tomography
framework is proposed. Providing an easy and effective imaging technique for breast cancer …

Gesture interaction based on ultrasonic radar is an attractive solution for wearable devices.
However, interdevice interference will be a realistic problem, when multiple adjacent …

Touchless interfaces and controls have many applications and gained popularity, especially
since the onset of the COVID pandemic. Radar sensors enable nonverbal touchless gesture …

Collecting training samples for ultrasound-based gesture recognition systems incurs a high
cost. This letter proposes a method enabling simultaneous sample collection using two …

The hand signature is a unique handwritten name or symbol that serves as a proof of
identity. Due to its practicality and widespread use, hand signature is still used by financial …

In order to solve the problem that the recognition accuracy of human motion is not high when
a single feature is used, a feature fusion human motion recognition method based on …