Hand Gesture Recognition Using Statistical and Artificial Geometric Methods : A Survey
نویسندگان
چکیده
منابع مشابه
Human Computer Interaction Using Vision-Based Hand Gesture Recognition
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...
متن کاملHuman Computer Interaction Using Vision-Based Hand Gesture Recognition
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...
متن کاملGeometric Feature Extraction for Hand Gesture Recognition
Computer applications have been spread ubiquitous due to its essential important that facilitate our daily life, gesture system is one of the most appealing applications that dependents mainly on exploiting the right features that can embody the entire gesture and give the correct meaning of that gesture. For constructing gesture recognition system a serial steps should be considered that are: ...
متن کاملHand Gesture Recognition Systems: A Survey
Gesture was the first mode of communication for the primitive cave men. Later on human civilization has developed the verbal communication very well. But still non-verbal communication has not lost its weightage. Such non – verbal communication are being used not only for the physically challenged people, but also for different applications in diversified areas, such as aviation, surveying, mus...
متن کاملShort Survey on Static Hand Gesture Recognition
This paper presents a survey of methods which have been recently proposed for recognizing static hand gestures. These approaches are first summarized and then are assessed based on a common dataset. Because mentioned methods employ different types of input, the survey focuses on stages of feature extraction and classification. Other former steps, such as pre-processing and hand segmentation, ar...
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ژورنال
عنوان ژورنال: Computer Applications: An International Journal
سال: 2016
ISSN: 2393-8455
DOI: 10.5121/caij.2016.3301