Pet robots are autonomous robots capable of exhibiting ~imal-like behaviors, including emotional ones. As they become more integrated into our lives, we will need a more natural way of communicating with them. Similarly, to perceive our intentions more effectively, they will need to understand human gestures. This work focuses on the real-time, visual interpretation of 2D dynamic hand gestures ...

Digital Image Processing is one of the basic and important tools in the image processing and computer vision. Gestures are expressive, meaningful body motions involving physical movements of the fingers, hands, arms, head, face, or body with the intent of conveying meaningful information or interacting with the environment. Gesture recognition has wide-ranging applications. Creating a virtual h...

Background. Four of the most relevant gestures in rugby (RU) are the pass, the tackle, the line out, and the scrum. RU is the third most common contact sport on the planet, and being a fast-paced collision game and carries a high risk of injury. Objectives. To describe and compare plantar dynamics during four sports gestures in rugby players through speed, strength, and balance. Methods. Twen...

The human ability to follow speech gestures through the visual modality is a core component of speech perception. Remarkably, speech can be perceived not only by the ear and by the eye but also by the hand, with speech gestures felt from manual tactile contact with the speaker’s face. In the present study, early crossmodal interactions were investigated by comparing early auditory evoked potent...

In the development of gestural interfaces for product design, the perceptual-motor skills of the designer and the expressive, creative process of design need to be supported. To accomplish this goal, we propose a different approach than currently used in research on gestures. We propose meaning is central to the definition of 'gesture' and discuss a new categorisation for gestures in which gest...

The metaphor introduced in this paper describes a more natural, human-like way to interact with objects in virtual environments. The interaction is controlled by motion-based gestures, which are recognized using the method described in [Bimbe98]. In contrast to the application of artificial and unnatural tools, natural input devices (e.g. the human hand) and human-like expression methods (e.g. ...

Classifications of several gesture types are very helpful in several applications. This paper tries to address fast classifications of hand gestures using DTW over multi-core simple processors. We presented a methodology to distribute templates over multi-cores and then allow parallel execution of the classification. The results were presented to voting algorithm in which the majority vote was ...