Vision-based hand posture estimation using a new hand model made of simple components
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...
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Direct use of the hand as an input device is an attractive method for providing natural human–computer interaction (HCI). Currently, the only technology that satisfies the advanced requirements of hand-based input for HCI is glove-based sensing. This technology, however, has several drawbacks including that it hinders the ease and naturalness with which the user can interact with the computer-c...
متن کاملVision-Based Algorithm for Real-Time Hand Posture Recognition
Importance of human-computer interaction (HCI) systems is increasing since they revolutionized the way people interact with computers. Gesture and posture analysis, especially hand gesture and posture recognition, is one of the more recent areas in the HCI with ever widening field of applications. In this paper we propose an algorithm for hand posture recognition that is based on skin detection...
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This paper proposes the use of artificial neural networks (ANNs) in the framework of a biomechanical hand model for grasping. ANNs enhance the model capabilities as they substitute estimated data for the experimental inputs required by the grasping algorithm used. These inputs are the tentative grasping posture and the most open posture during grasping. As a con...
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ژورنال
عنوان ژورنال: Optik
سال: 2018
ISSN: 0030-4026
DOI: 10.1016/j.ijleo.2018.02.069