In this research, we analyze a Convolutional Long Short-Term Memory Recurrent Neural
Network (CNNLSTM) in the context of gesture recognition. CNNLSTMs are able to …

Several researchers around the world have studied gesture recognition, but most of the
recent techniques fall in the curse of dimensionality and are not useful in real time …

In this study, a vision based in-car entertainment user interface is presented. The user
interface is designed using a hand posture and gesture recognition algorithm in deep …

The problem of posture detection is of considerable significance for assisted living (AL). In
most cases, radio channel models for wireless body area network (WBANs) are fixed when a …

This paper proposes a new hand detection and wrist localization method which presents an
important step in the hand gesture recognizing process. The wrist localization step has not …

Hand gesture recognition is the process of recognizing meaningful expressions of form and
motion by a human involving only the hands. There are plenty of applications where hand …

This paper describes an adaptive robust moving hands recognition algorithm using Kinect
V2, which can detect the bare hands or hands with gloves in the real-time image stream …