Titlebook: Robust Hand Gesture Recognition for Robotic Hand Control; Ankit Chaudhary Book 2018 Springer Nature Singapore Pte Ltd. 2018 Image-based Ha

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https://doi.org/10.1007/978-981-10-4798-5Image-based Hand Gesture Recognition; Electro-mechanical Robotic Hand Control; Bent fingers‘ Angle Cal

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State of the Art,sed for comparison and as a stepping stone for next chapters. Here different methods for hand gesture recognition are presented and discuss the major problems in this area which are addressed in this book.

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Introduction,uman–computer barrier. The aim is to bring human–computer interaction (HCI) to a regime where the interactions with computers become as natural as the interactions between humans. As a part of HCI, incorporating hand gestures into communication methods is an important research area. Hand gesture rec

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Scientific Goals, recognition using enhanced intelligent methods. • Investigate a faster method to reduce image preprocessing algorithm time. • Investigate a direction invariant method to detect hand gesture in real time. • Investigate a light intensity invariant method to detect hand gesture in real time. • Explore

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Hand Image Segmentation,olving a bare hand. Such techniques allow a natural communication with machines. HGR-based systems face many problems in skin segmentation due to luminance and intensity in images which is a major cause of noise in the preprocessed results. The HGR-based systems mostly make assumptions about the han

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