This paper introduces an algorithm to track palm and fingertips based on images with depth data in real-time. Some meaningful hand gesture is then recognized by the detected palm and fingertips. The images with depth information are first captured by a Kinect camera. Then foreground and background are separated to pick up the potential hand. The fingertips are then detected by the curvature of ...

This paper discusses the use of the computer vision in the interpretation of human gestures. Hand gestures would be an intuitive and ideal way of exchanging information with other people in a virtual space, guiding some robots to perform certain tasks in a hostile environment, or interacting with computers. Hand gestures can be divided into two main categories: static gestures and dynamic gestu...

Postural conditions are known to affect hand use in many primate species. It remains to be examined how posture and task differences modulate, or interact with, hand use in common marmosets (Callithrix jacchus). Three experimental conditions were introduced to assess the occurrence of preferential hand use as a function of posture and size of aperture for the subjects to grasp and retrieve the ...

To explore how the brain may recognise objects in its general,accurate and energy-efficient manner, this paper proposes the use of a neuromorphic hardware system formed from a Dynamic Video Sensor (DVS) silicon retina in concert with the SpiNNaker real-time Spiking Neural Network (SNN) simulator. As a first step in the exploration on this platform a recognition system for dynamic hand postures ...

Several forms of somatosensation require that afferent signals be informed by stored representations of body size and shape. Recent results have revealed that position sense relies on a highly distorted body representation. Changes of internal hand posture produce plastic alterations of processing in somatosensory cortex. This study therefore investigated how such postural changes affect implic...

Human body posture recognition has become the focus of many researchers in recent years. Recognition is used various applications, including surveillance, security, and health monitoring. However, these systems that determine body’s through video clips, images, or data from sensors have challenges when real world. This paper provides an important review how most essential ‎ hardware technologie...

We describe a new method for data glove calibration that uses computer vision techniques to create a filter for individual customization of input obtained from the glove. Our major observation is that it is possible to create a linear correlation between the hand posture reported by the data glove and the observed posture of the hand itself. We use a feature-based computer vision system indepen...