Hand Gesture Recognition Based Real-time Command System
نویسندگان
چکیده
Even after more than two decades of input devices development, many people still find the interaction with computers an uncomfortable experience. Efforts should be made to adapt computers to our natural means of communication: speech and body language. The aim of this paper is the proposal of a real time command system through hand gesture recognition, using general-purpose hardware and low cost sensors, like a simple personal computer and an USB web cam, so any user could make use of it in his industry or home. The basis of our approach is a fast segmentation process to obtain the hand gesture from the whole image, which is able to deal with a large number of hand shapes against different backgrounds and lighting conditions, and a recognition process that identifies the hand posture for different control applications. Key Terms: Hand gesture; Image; Segmentation; Recognition
منابع مشابه
Instant 3D design concept generation and visualization by real-time hand gesture recognition
3D conceptual design is a creative process. While the designers are in the inspirational mode, they want to quickly express the design ideas in 3D and visualize it in real time without obstacle. In an exploration of a new, natural and more user friendly interface to assist rapid 3D conceptual generation and visualization, a prototype system of hand gesture and motion capture based user interfac...
متن کاملA Real-time Hand Gesture Recognition and Human-Computer Interaction System
In this project, we design a real-time humancomputer interaction system based on hand gesture. The whole system consists of three components: hand detection, gesture recognition and human-computer interaction (HCI) based on recognition; and realizes the robust control of mouse and keyboard events with a higher accuracy of gesture recognition. Specifically, we use the convolutional neural networ...
متن کاملNeural Network Performance Analysis for Real Time Hand Gesture Tracking Based on Hu Moment and Hybrid Features
This paper presents a comparison study between the multilayer perceptron (MLP) and radial basis function (RBF) neural networks with supervised learning and back propagation algorithm to track hand gestures. Both networks have two output classes which are hand and face. Skin is detected by a regional based algorithm in the image, and then networks are applied on video sequences frame by frame in...
متن کاملGesture-Based Interaction with a Pet Robot
Pet robots are autonomous robots capable of exhibiting animal-like behaviors, including emotional ones, as they interact with people and objects surrounding them. As pet robots become more integrated into our lives, a more natural way of communicating with them will become necessary. Similarly, they will need to understand human gestures in order to perceive our intentions and communicate with ...
متن کاملA Robot Control System Based on Gesture Recognition Using Kinect
The Kinect camera is widely used for capturing human body images and human motion recognition in video game playing, and there are already some research works on gesture recognition. However, to achieve the anti-interference performance, the current recognition algorithms are often complex and tardiness, and most of the applications are based on the incomplete gesture library and not all hand g...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2013