Intelligent Multimodal Framework for Human Assistive Robotics Based on Computer Vision Algorithms
نویسندگان
چکیده
منابع مشابه
Special issue on Assistive Computer Vision and Robotics - Part I
h 1 In the last decades, there has been a tremendous increase in deand for assistive technologies useful to overcome functional limtations of individuals and to improve their quality of life. Assistive echnologies provide a set of advanced tools that can improve the uality of life not only for impaired people, patients and elderly ut also for healthy people struggling with everyday actions. Ree...
متن کاملSpecial Issue on Assistive Computer Vision and Robotics - "Assistive Solutions for Mobility, Communication and HMI"
h 1 In the last decades, there has been a tremendous increase in deand for assistive technologies useful to overcome functional limtations of individuals and to improve their quality of life. Assistive echnologies provide a set of advanced tools that can improve the uality of life not only for impaired people, patients and elderly ut also for healthy people struggling with everyday actions. Ree...
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In the last decades there has been a tremendous increase in demand for Assistive Technologies (AT) useful to overcome functional limitations of individuals and to improve their quality of life. As a consequence, different research papers addressing the development of assistive technologies have appeared into the literature pushing the need to organize and categorize them taking into account the...
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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ژورنال
عنوان ژورنال: Sensors
سال: 2018
ISSN: 1424-8220
DOI: 10.3390/s18082408