Academic
Keywords
Gesture Recognition

,Gesture Recognition,gestures Recognition,gestural recognition,gesture recognit

Gesture Recognition
Publications: 2,287| Citation Count: 21,230
Stemming Variations: gestures Recognition, gestural recognition, gesture recognit
Cumulative Annual
    • 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 on the typical implementation by sharing the entire screen for both purposes. Applications benefit as more screen real estate is available...

    Carl D. Worth. xstroke: Full-screen Gesture Recognition for X

    • Gesture recognition is a difficult task in computer vision due to the numerous degrees of freedom of a human hand. Fortunately, human gesture covers only a small part of the theoretical "configuration space" of a hand, so an appearance based representation of human gesture becomes tractable. A major problem, however, is the acquisition of appropriate labelled image data from which an appearance based representation can be built...

    Gunther Heidemannet al. Hand Gesture Recognition: Self-Organising Maps as a Graphical User Int...

    • Gesture recognition is an appealing tool for natural interface with computers especially for physically impaired persons...

    Tarek El. Tobelyet al. Dynamic Hand Gesture Recognition Based on Randomized Self-Organizing M...

    • Gesture recognition is an appealing tool for natural interface with computers especially for physically impaired persons...

    Naoyuki Tsurutaet al. A Randomized Hypercolumn Model and Gesture Recognition

    • Gesture recognition is an important aspect of interpersonal social interaction. Developing a similar capacity in a robot will improve human-robot interaction. Various unsupervised clustering methods applied to clustering a set of dynamic human arm gestures are compared. Unsupervised clustering is important in gesture recognition as it imposes no a priori bound on the set of gestures. Results are compared using v-measure, a metric that allows differential weighting between clustering homogeneity and completeness...

    Adrian Ballet al. A comparison of unsupervised learning algorithms for gesture clusterin...

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