With the development of technology, using radar for gesture recognition is feasible and
valuable. However, ensuring that gesture recognition can be applied to a wide range of …

With technology advances and human requirements increasing, human-computer
interaction plays an important role in our daily lives. Among these interactions, gesture …

In this paper, a multi-feature encoder for gesture recognition based on a 60 GHz frequency-
modulated continuous wave (FMCW) radar system is proposed to extract the gesture …

In this paper, a region-based deep convolutional neural network (R-DCNN) is proposed to
detect and classify gestures measured by a frequency-modulated continuous wave radar …

Gesture recognition using luminance invariant radar sensors is vital due to its extensive use
in human-machine interfaces. However, the necessity for computationally expensive radar …

As a convenient and natural way of human-computer interaction, gesture recognition
technology has broad research and application prospects in many fields, such as intelligent …

In this paper, a real-time signal processing framework based on a 60 GHz frequency-
modulated continuous wave (FMCW) radar system to recognize gestures is proposed. In …

With the continuous enrichment of human-computer interaction, gesture recognition
technology plays an increasingly important role in various fields, especially in the non …

Nowadays, radar technology is undergoing rapid development. Contrary to the old
stereotype of radar systems being large, complex and mainly used for detecting targets at a …

In order to know the development context of radar gesture recognition and predict the
possible future development trends, the research and development of gesture recognition …