… We propose a generalized approach to human gesture recognition based on multiple data
modalities such as depth video, articulated pose and speech. In our system, each gesture is …

… This paper describes software algorithms that can detect the persons in the scene and
analyze different actions and gestures in real time. The motivation of this paper is to create a …

… 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 …

… to detect the hand gestures. To augment the data for training the hand gesture detector, we
… acquisition and hand gesture detection is performed to ensure real-time detection of hand …

… The authors in [12] use a special radar system to detect and segment gestures. In our work,
… for gesture detection. Moreover, in human computer interfaces, performed gestures must be …

… detect human faces robustly. In the second part of this book, four face detection methods
are presented to detect human … uses the SNOW learning algorithm to detect faces in gray-scale …

… 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 …

… In the context of this thesis, we are interested in recognizing human gestures from video
sequences to monitor human activities for healthcare and surveillance services. …

… We present a method for gesture detection and localization based on multi-scale and
multi-modal deep learning. Each visual modality captures spatial information at a particular spatial …

… 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 …