Sentence examples for gesture recognition interaction from inspiring English sources

The system is composed of four modules: initialization, hand gesture recognition, interaction control and system settings.

This paper presents an adaptive visual gesture recognition method for human robot interaction using a knowledge-based software platform.

Applications of skin detection and segmentation are of a wide range and significance, and they include gesture recognition for human-computer interaction [3], objectionable content filtering [4], content-based image retrieval [5], medical imaging [6, 7], and image coding [8].

To overcome the limitations of conventional wayfinding aids, mobile devices with a real-time feed into AR can be considered because AR can be characterized by augmented visualization and intuitive interaction techniques such as natural language, tangible interaction and gesture recognition (Kim & Maher 2008).

Furthermore, hands are among the most common objects in the user's field of view, and a proper detection, localization, and tracking could be a main input for other objectives, such as gesture recognition, understanding hand-object interactions, and activity recognition [5, 12 20].

Kinect sensors with excellent human gesture recognition and robots with smart interactions with people are expected to have numerous innovative applications.

One appealingly convenient approach to this problem is to use device motions as input, a paradigm in which the currently dominant interaction metaphors are gesture recognition and visually mediated scrolling.

Team Wake Up: Wake Up aims to maximize the benefits of new technologies in behalf of children with Down syndrome allowing them to use Kinect and games based on natural interaction, color detection, gesture recognition and artificial intelligence to enhance their motor skills, attention, memory, perception and communication.

Sign and gesture recognition offers a natural way for human computer interaction.

Intelligent systems often support more natural human-computer interaction, such as speech or gesture recognition and, in general, the more complex multimodal behavior that one takes for granted in the world.

We combined our VR CAD framework with multimodal immersive interaction (using 6 DoF tracking, speech and gesture recognition systems) to gain direct and intuitive deformation of the objects' shapes within a VE, thus avoiding explicit interactions with the CHG within a classical WIMP interface.