Hand Gesture Recognition for Human Computer Interaction
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 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 کاملHand Tracking and Hand Gesture Recognition for Human Computer Interaction
Hand tracking and hand gesture recognition is an important problem in the field of human-computer interaction. A number of solutions have been proposed in the current literature, but the problem is still far from being solved since the hand exhibits significant amounts of articulation and self-occlusion that cause difficulties with existing algorithms. To further exasperate these problems, inte...
متن کاملA hand gesture recognition technique for human-computer interaction
We propose an approach to recognize trajectory-based dynamic hand gestures in real time for human–computer interaction (HCI). We also introduce a fast learning mechanism that does not require extensive training data to teach gestures to the system. We use a six-degrees-of-freedom position tracker to collect trajectory data and represent gestures as an ordered sequence of directional movements i...
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ژورنال
عنوان ژورنال: Procedia Computer Science
سال: 2017
ISSN: 1877-0509
DOI: 10.1016/j.procs.2017.09.092