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Pre-processing

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Human Computer Interaction Using Hand Gestures

Part of the book series: Cognitive Science and Technology ((CSAT))

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Abstract

Computer vision is aimed at simulating the human visual system in order to extract useful information for machines to make decisions. A visual camera is usually used for this purpose which detects brightness, colour, texture and dimensions of an object in focus. When a camera captures scenery, it contains both ‘wanted’ as well as ‘unwanted’ information. If the camera is focussed on a person’s hand looking for a possible gesture, then the ‘unwanted’ objects in the scenery would be the background which may contain the person’s body, clothing, other people, pets, walls, windows, curtains or any other equipment. Since the system is developed to respond to gestures, the system would try to extract only the ‘wanted’ information. However, as the system would not have the level of intelligence as a human, it relies on ‘clues’ to extract only the ‘wanted’ objects.

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  1. School of Elec., Comp. and Telecom. Eng., The University of Wollongong, North Wollongong, New South Wales, Australia

    Prashan Premaratne

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Premaratne, P. (2014). Pre-processing. In: Human Computer Interaction Using Hand Gestures. Cognitive Science and Technology. Springer, Singapore. https://doi.org/10.1007/978-981-4585-69-9_3

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