In this work, a novel gesture recognition system is presented that allows the control of the SmartWalker by performing simple gestures. The SmartWalker is a normal walker equipped with sensors and actuators that can move autonomously. It is constructed as a walking aid for elderly people. Therefore our gesture recognition system is developed for the same target group which means that gestures w...

There is a growing interest in ‘unlocking’ the motor skills of expert musicians. Motivated by this need, the main objective of this paper is to present a new way of modeling expressive gesture variations in musical performance. For this purpose, the 3D gesture recognition engine ‘x2Gesture’ (eXpert eXpressive Gesture) has been developed, inspired by the Gesture Variation Follower, which is init...

Hand gesture recognition has gradually become a hot topic in Human-Computer Interaction (HCI) in recent years. It is a technology that can mimic how our human beings communicate with each other to interact between human and computers in natural and intuitive ways. Computer recognition of hand gestures is widely used in many applications, such as entertainment system, medical systems, crisis man...

Tomorrow's ubiquitous computing environments will go beyond the keyboard, mouse and monitor paradigm of interaction and will require the automatic interpretation of human motion using a variety of sensors including video cameras. I present several techniques for human motion recognition that are inspired by observations on human gesture, the class of communicative human movement. Typically, ges...

Some groups of handicapped persons cannot reliably move the mouse and do the necessary operation on it to control the computer. However they can do some 3-d hand motions. Variety of tools has been presented for these users to interact with computer. Hand gesture recognition is one of the proper methods for this purpose. This paper presents a new algorithm for hand gesture recognition. In this a...

Gesture recognition is an important subtask of systems implementing human-machine-interaction. Hidden Markov Models achieve good results for gesture recognition in real-time supporting a low error rate. However, the distinction of gestures with different execution speeds is difficult. Hidden non-Markovian Models provide an approach to model time dependent state transitions to eliminate these pr...

Gesture recognition is a common method of text input on handheld and other pen-based computing devices. Xstroke is a full-screen gesture recognition program for the X Window System. The touchscreen of a typical pen-based device is divided into two regions, a primary region for application display and interaction, and a secondary region for gesture input. Full-screen gesture recognition improves...

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...

Schizophrenia is characterized by deficits in gesturing that is important for nonverbal communication. Research in healthy participants and brain-damaged patients revealed a left-lateralized fronto-parieto-temporal network underlying gesture performance. First evidence from structural imaging studies in schizophrenia corroborates these results. However, as of yet, it is unclear if cortical thic...

In the present scenario, vision based hand gesture recognition has become a highly emerging research area for the purpose of human computer interaction. Such recognition systems are deployed to serve as a replacement for the commonly used human-machine interactive devices such as keyboard, mouse, joystick etc. in real world situations. The major challenges faced by a vision based hand gesture r...