Sign language is used by deaf and hard hearing people to exchange information between their own community and with other people. Computer recognition of sign language deals from sign gesture acquisition and continues till text/speech generation. Sign gestures can be classified as static and dynamic. However static gesture recognition is simpler than dynamic gesture recognition but both recognit...

The sign language recognition is the most popular research area involving computer vision, pattern recognition and image processing. It enhances communication capabilities of the mute person. In this paper, I present an object based key frame selection. Forward Algorithm is used for shape similarity for one and two handed gesture recognition. That recognition is with feature and without feature...

The paper reviews 3D Gesture Recognition technologies, that can be potentially used in future automotive applications. purpose of the article is to find best gesture recognition technology for mass scale adaptation vehicles. Described technologies are divided into six categories: Vision Systems, Wearable sensors, Infrared, Electric field, Radar and Ultrasonic Waves. identifies principles operat...

Gesture is a natural expression form for humans, but its recognition is a similarly hard problem as speech recognition. In this paper, I present a real-time hand gesture recognition system, which identifies relevant parts in the continous sensor data stream, and classifies them to the most probable gesture. Instead of the usual button-based segmentation, I have created an automatic segmentation...

Automatic emotion recognition has become a trending research topic in the past decade. While works based on facial expressions or speech abound, recognizing affect from body gestures remains less explored topic. We present new comprehensive survey hoping to boost field. first introduce emotional as component of what is commonly known ”body language” and comment general aspects gender difference...