… of proposed hand gesture detection and recognition methodology with state of arts in terms
of sensitivity, specificity and accuracy. The proposed hand gesture detection and recognition …

… Compared to other gesture recognition methods, such as using 3D convolutional neural …
feature for human gesture recognition. The reason is that the features of the human skeleton are …

… can enable real time human gesture detection for autonomous … human gesture detection
model for infrared images is illustrated in Figure 2. The input of this human gesture detection …

… object detection and gesture recognition into one model and proposes a gesture detection …
feature fusion module and multiscale attention in human-computer interaction. Pyramid fusion …

… Gesture Detector We propose a STA/LTA-based gesture detector to detect the tail of a
gesture… The exponential moving average (EMA) is used to detect the change of the magnitude …

… human–machine interaction. Because natural gestures change constantly, the current gesture
detection technology is unable to fully achieve genuine human–machine communication. …

Human machine interaction (HMI) is an interactive way of information exchange between
human and … Hand gesture, as one of the important ways for human to convey information and …

… up, and five human gestures are collected in the human gesture data set, and the … human
body detection accuracy of this algorithm is high, but the recall rate of human gesture detection …

… On one hand, during the gesture detection phase, as a radar can only capture the motion
information on the radial components, there might be cases that one radar captures a …

… , the construction of a precise background model for foreground detection was required. A
fixed background also restricted the potential usage of this hand gesture detection technique. …