Master Hand Technology For The HMI Using Hand Gesture And Colour Detection

Master Hand Technology uses different hand gestures and colors to give various commands for the Human-Machine(here Computer) Interfacing. Gestures recognition deals with the goal of interpreting human gestures via mathematical algorithm. Gestures made by users with the help of a color band and/or body pose , in two or three dimensions , get translated by software/image processing into predefined commands .The computer then acts according to the command. There have been a lot work already developed in this field either by extracting hand gesture only or extracting hand with the help of color segmentation. In this project, both hand gesture extraction and color detection used for better, faster, robust, accurate and real-time applications. Red, Green, Blue colors are most efficiently detected if RGB color space used. Using HSV color space, it can be extended to any no of colors. For hand gesture detection, the default background is captured and stored for further processing. Comparing the new captured image with background image and doing necessary extraction and filtering, hand portion can be extracted. Then applying different mathematical algorithms different hand gestures detected. All this work done using MATLAB software. By interfacing a portion of Master hand or/and color to mouse of a Computer, the computer can be controlled same as the mouse. And then many virtual (Augmented reality) or PC based application can be developed (e.g. Calculator, Paint). It does not matter whether the system is within your reach or not; but a camera that is linked with the system must have to be near-by . Showing different gestures by your Master-Hand , the computer can be controlled remotely. If the camera can be set-up online, then the computer can be controlled even from a very far place online

Interaction With Tilting Gestures In Ubiquitous Environments

In this paper, we introduce a tilting interface that controls direction based applications in ubiquitous environments. A tilt interface is useful for situations that require remote and quick interactions or that are executed in public spaces. We explored the proposed tilting interface with different application types and classified the tilting interaction techniques. Augmenting objects with sensors can potentially address the problem of the lack of intuitive and natural input devices in ubiquitous environments. We have conducted an experiment to test the usability of the proposed tilting interface to compare it with conventional input devices and hand gestures. The experiment results showed greater improvement of the tilt gestures in comparison with hand gestures in terms of speed, accuracy, and user satisfaction.Comment: 13 pages, 10 figure

GUI system for Elders/Patients in Intensive Care

In the old age, few people need special care if they are suffering from specific diseases as they can get stroke while they are in normal life routine. Also patients of any age, who are not able to walk, need to be taken care of personally but for this, either they have to be in hospital or someone like nurse should be with them for better care. This is costly in terms of money and man power. A person is needed for 24x7 care of these people. To help in this aspect we purposes a vision based system which will take input from the patient and will provide information to the specified person, who is currently may not in the patient room. This will reduce the need of man power, also a continuous monitoring would not be needed. The system is using MS Kinect for gesture detection for better accuracy and this system can be installed at home or hospital easily. The system provides GUI for simple usage and gives visual and audio feedback to user. This system work on natural hand interaction and need no training before using and also no need to wear any glove or color strip.Comment: In proceedings of the 4th IEEE International Conference on International Technology Management Conference, Chicago, IL USA, 12-15 June, 201