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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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11#
發(fā)表于 2025-3-23 11:51:52 | 只看該作者
https://doi.org/10.1007/978-981-10-4798-5Image-based Hand Gesture Recognition; Electro-mechanical Robotic Hand Control; Bent fingers‘ Angle Cal
12#
發(fā)表于 2025-3-23 15:21:06 | 只看該作者
13#
發(fā)表于 2025-3-23 19:38:28 | 只看該作者
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.
14#
發(fā)表于 2025-3-24 01:21:12 | 只看該作者
15#
發(fā)表于 2025-3-24 03:48:06 | 只看該作者
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發(fā)表于 2025-3-24 08:00:38 | 只看該作者
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
17#
發(fā)表于 2025-3-24 12:08:28 | 只看該作者
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
18#
發(fā)表于 2025-3-24 16:43:29 | 只看該作者
19#
發(fā)表于 2025-3-24 22:29:13 | 只看該作者
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
20#
發(fā)表于 2025-3-25 02:09:03 | 只看該作者
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