Real-Time 3D Hand Gestures Recognition for Manipulation of Industrial Robots
نویسندگان
چکیده
منابع مشابه
Robust 3D Hand Detection for Gestures Recognition
The aim of this paper is to present a fast, robust and adaptive method for real-time 3D hand detection. Unlike traditional 2D approaches which are based on skin or features detection, the proposed method relies on depth information obtained from a stereoscopic video system. As a result, it provides the 3D position of both hands. It also deals with changes of lighting and it is capable of detect...
متن کاملReal-time natural hand gestures
gestures to input computer commands. 1 Vision-based HCI hand-gesture analysis and recognition studies require large numbers of a variety of gestures as input and a virtual hand as output to display the results. Creating a virtual hand with natural gestures would improve human hand HCI research by providing data for hand analysis systems and generating visual output for hand simulation systems. ...
متن کاملReal Time 3D Vision for Humanoid Robots
Recent advances in humanoid robotics, such as the introduction of Honda’s Asimo robot, have brought humanoids to the forefront of robotics research. We propose to mount the CanestaVision EP camera onto a humanoid robot. The 3D sensing capabilities of the camera will enable significant improvements in the core behaviors of obstacle detection (which is important for reliable walking) and grasp pl...
متن کاملFuzzy Motion Control for Wheeled Mobile Robots in Real-Time
Due to various advantages of Wheeled Mobile Robots (WMRs), many researchers have focused to solve their challenges. The automatic motion control of such robots is an attractive problem and is one of the issues which should carefully be examined. In the current paper, the trajectory tracking problem of WMRs which are actuated by two independent electrical motors is deliberated. To this end, and ...
متن کاملReal-Time Recognition of 3D-Pointing Gestures for Human-Machine-Interaction
We present a system capable of visually detecting pointing gestures and estimating the 3D pointing direction in real-time. We use Hidden Markov Models (HMMs) trained on different phases of sample pointing gestures to detect the occurrence of a gesture. For estimating the pointing direction, we compare two approaches: 1) The line of sight between head and hand and 2) the forearm orientation. Inp...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Electronics and Electrical Engineering
سال: 2013
ISSN: 2029-5731,1392-1215
DOI: 10.5755/j01.eee.19.2.1329