Gesture recognition has been studied for a while within the fields of computer vision and pattern recognition. A gesture can be defined as meaningful physical movement fingers, hands, arms, or other parts body with purpose to convey information environment interaction. For instance, hand (HGR) used recognize sign language which is primary means communication by deaf mute. Vision-based HGR criti...

Sign acquisition was mainly done using camera or sensor. Due to the invention of some advance devices like Leap Motion Sensor and Kinect the researchers have experienced new horizon for making Sign Language Recognition system more accurate. In this paper, an analysis of different Neural Networks for three sign languages is presented. Many experiments are performed for measuring the performance ...

Aiming at the problem that features extracted from original C3D (Convolutional 3D) convolutional neural network(C3D) were insufficient, and it was difficult to focus on keyframes, which led low accuracy of basketball players’ action recognition; hence, a recognition method deep network based dynamic residual attention mechanism proposed. Firstly, traditional is improved convolution extract suff...

With the rapid emergence of 3D applications and virtual environments in computer systems; the need for a new type of interaction device arises. This is because the traditional devices such as mouse, keyboard, and joystick become inefficient and cumbersome within these virtual environments. In other words, evolution of user interfaces shapes the change in the Human-Computer Interaction (HCI). In...

We propose a novel model-based approach to activity recognition using high-level primitives that are derived from a human body model estimated from sensor data. Using short but fixed positions of the hands and turning points of hand movements, a continuous data stream is segmented in short segments of interest. Within these segments, joint boosting enables the automatic discovery of important a...

The nature of hand-action representations evoked during language comprehension was investigated using a variant of the visual-world paradigm in which eye fixations were monitored while subjects viewed a screen displaying four hand postures and listened to sentences describing an actor using or lifting a manipulable object. Displayed postures were related to either a functional (using) or volume...

Adults show a deficit in their ability to localize tactile stimuli to their hands when their arms are in the less familiar, crossed posture. It is thought that this 'crossed-hands deficit' arises due to a conflict between the anatomical and external spatial frames of reference within which touches can be encoded. The ability to localize a single tactile stimulus applied to one of the two hands ...

In Proc. of IEEE Conf. on CVPR’2000, Vol.II, pp.88-94, Hilton Head Island, SC, 2000 Since human hand is highly articulated and deformable, hand posture recognition is a challenging example in the research of view-independent object recognition. Due to the difficulties of the modelbased approach, the appearance-based learning approach is promising to handle large variation in visual inputs. Howe...