1,078 research outputs found

    Intuitive human-device interaction for video control and feedback

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    Finger-stylus for non touch-enable systems

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    Since computer was invented, people are using many devices to interact with computer. Initially there were keyboard, mouse etc. but with advancement of technology, new ways are being discovered that are quite common and natural to the humans like stylus for touch-enabled systems. In the current age of technology, the user is expected to touch the machine interface to give input. Hand gesture is used in such a way to interact with machines where natural bare hand is used to communicate without touching machine interface. It gives a feeling to the user that he is interacting in a natural way with some human, not with traditional machines. This paper presents a technique where the user need not touch the machine interface to draw on the screen. Here hand finger draws shapes on monitor like stylus, without touching the monitor. This method can be used in many applications including games. The finger is used as an input device that acts like a paint-brush or finger-stylus and is used to make shapes in front of the camera. Fingertip extraction and motion tracking were done in Matlab with real time constraints. This work is an early attempt to replace stylus with the natural finger without touching the screen

    Žestipõhine arvuti kontrollimine kasutades Kinect sensorit

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    The main goal of the bachelor’s thesis was to develop an application that allows users to interact with a computer without using any intermediate devices that require physical contact. The resulting interface makes it possible to use the functionalities of a Windows desktop relying only on gestures, provided the computer meets the requirements of using a Kinect sensor and is equipped with one. Because the library used to track fingers is still in development, the functionalities are limited at this point. The possibilities for future development in human-computer interaction using vision based hand recognition are endless and the interaction will become more natural and effortless. As the equipment used to recognize hand poses is becoming more affordable and available, the possibility that mechanical devices which need physical contact will become obsolete becomes progressively more of a reality
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