Challenges and Applications for Hand Gesture Recognition

2022-03-25 Computers

Author : Kane, Lalit
Release : 2022-03-25
Genre : Computers
Kind : eBook
Book Rating : 363/5 ( reviews)

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Book Synopsis Challenges and Applications for Hand Gesture Recognition by : Kane, Lalit

Download or read book Challenges and Applications for Hand Gesture Recognition written by Kane, Lalit. This book was released on 2022-03-25. Available in PDF, EPUB and Kindle. Book excerpt: Due to the rise of new applications in electronic appliances and pervasive devices, automated hand gesture recognition (HGR) has become an area of increasing interest. HGR developments have come a long way from the traditional sign language recognition (SLR) systems to depth and wearable sensor-based electronic devices. Where the former are more laboratory-oriented frameworks, the latter are comparatively realistic and practical systems. Based on various gestural traits, such as hand postures, gesture recognition takes different forms. Consequently, different interpretations can be associated with gestures in various application contexts. A considerable amount of research is still needed to introduce more practical gesture recognition systems and associated algorithms. Challenges and Applications for Hand Gesture Recognition highlights the state-of-the-art practices of HGR research and discusses key areas such as challenges, opportunities, and future directions. Covering a range of topics such as wearable sensors and hand kinematics, this critical reference source is ideal for researchers, academicians, scholars, industry professionals, engineers, instructors, and students.

Gesture Recognition

2017-07-19 Computers

Author : Sergio Escalera
Release : 2017-07-19
Genre : Computers
Kind : eBook
Book Rating : 218/5 ( reviews)

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Book Synopsis Gesture Recognition by : Sergio Escalera

Download or read book Gesture Recognition written by Sergio Escalera. This book was released on 2017-07-19. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a selection of chapters, written by leading international researchers, related to the automatic analysis of gestures from still images and multi-modal RGB-Depth image sequences. It offers a comprehensive review of vision-based approaches for supervised gesture recognition methods that have been validated by various challenges. Several aspects of gesture recognition are reviewed, including data acquisition from different sources, feature extraction, learning, and recognition of gestures.

Real-time 2D Static Hand Gesture Recognition and 2D Hand Tracking for Human-Computer Interaction

2020

Author : Pavel Alexandrovich Popov
Release : 2020
Genre :
Kind : eBook
Book Rating : /5 ( reviews)

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Book Synopsis Real-time 2D Static Hand Gesture Recognition and 2D Hand Tracking for Human-Computer Interaction by : Pavel Alexandrovich Popov

Download or read book Real-time 2D Static Hand Gesture Recognition and 2D Hand Tracking for Human-Computer Interaction written by Pavel Alexandrovich Popov. This book was released on 2020. Available in PDF, EPUB and Kindle. Book excerpt: The topic of this thesis is Hand Gesture Recognition and Hand Tracking for user interface applications. 3 systems were produced, as well as datasets for recognition and tracking, along with UI applications to prove the concept of the technology. These represent significant contributions to resolving the hand recognition and tracking problems for 2d systems. The systems were designed to work in video only contexts, be computationally light, provide recognition and tracking of the user's hand, and operate without user driven fine tuning and calibration. Existing systems require user calibration, use depth sensors and do not work in video only contexts, or are computationally heavy requiring GPU to run in live situations. A 2-step static hand gesture recognition system was created which can recognize 3 different gestures in real-time. A detection step detects hand gestures using machine learning models. A validation step rejects false positives. The gesture recognition system was combined with hand tracking. It recognizes and then tracks a user's hand in video in an unconstrained setting. The tracking uses 2 collaborative strategies. A contour tracking strategy guides a minimization based template tracking strategy and makes it real-time, robust, and recoverable, while the template tracking provides stable input for UI applications. Lastly, an improved static gesture recognition system addresses the drawbacks due to stratified colour sampling of the detection boxes in the detection step. It uses the entire presented colour range and clusters it into constituent colour modes which are then used for segmentation, which improves the overall gesture recognition rates. One dataset was produced for static hand gesture recognition which allowed for the comparison of multiple different machine learning strategies, including deep learning. Another dataset was produced for hand tracking which provides a challenging series of user scenarios to test the gesture recognition and hand tracking system. Both datasets are significantly larger than other available datasets. The hand tracking algorithm was used to create a mouse cursor control application, a paint application for Android mobile devices, and a FPS video game controller. The latter in particular demonstrates how the collaborating hand tracking can fulfill the demanding nature of responsive aiming and movement controls.

Gesture Recognition

2018 COMPUTERS

Author : Gilberto Coleman
Release : 2018
Genre : COMPUTERS
Kind : eBook
Book Rating : 926/5 ( reviews)

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Book Synopsis Gesture Recognition by : Gilberto Coleman

Download or read book Gesture Recognition written by Gilberto Coleman. This book was released on 2018. Available in PDF, EPUB and Kindle. Book excerpt: In the opening chapter of Gesture Recognition: Performance, Applications and Features, the authors discuss gesture recognition and its role in the developing world of technology. The possibility of implementing a gesture detection application that works with people with special needs is examined, such as recognition of sign language for the hearing-impaired. Following this, the authors present their approach for face detection and tracking, user identification, facial feature extraction and head pose estimation as the low-level representation of facial gesture atomics. Additionally, an approach for a movement-based facial gestures recognition is presented, with results demonstrated through practical approaches. A later work explores spectral features from algebraic graph theory in static hand gesture recognition. Specifically, we apply a technique that uses the elements of the spectral matrix of the Laplacian to construct symmetric polynomials that are permutation invariants. The values of these polynomials can be used as graph features in a statistical learning pipeline that has the ability of distinguishing between distinct graphs and can reveal graph clusters. In the closing study, the authors developed two algorithms for the detection of pointing gestures and one approach for waving on this technological base and studied their functionality. The goal was to determine whether a combination of both strategies improves and stabilizes detection rates--

Gesture Recognition

2024-07-26 Computers

Author : Qiguang Miao
Release : 2024-07-26
Genre : Computers
Kind : eBook
Book Rating : 603/5 ( reviews)

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Book Synopsis Gesture Recognition by : Qiguang Miao

Download or read book Gesture Recognition written by Qiguang Miao. This book was released on 2024-07-26. Available in PDF, EPUB and Kindle. Book excerpt: Gesture Recognition: Theory and Applications covers this important topic in computer science and language technology that has a goal of interpreting human gestures via mathematical algorithms. The book begins by examining the computer vision-based gesture recognition method, focusing on the theory and related research results of various recent gesture recognition technologies. The book takes the evolutions of gesture recognition technology as a clue, systematically introducing gesture recognition methods based on handcrafted features, convolutional neural networks, recurrent neural networks, multimodal data fusion, and visual attention mechanisms. Three gesture recognition-based HCI (Human Computer Interaction) practical cases are introduced. Finally, the book looks at emerging research trends and application. Focuses on the theory and application of gesture recognition, providing a systematic introduction to commonly used datasets in the field as well as algorithms based on handcrafted features, convolutional neural networks, multimodal fusion, and attention mechanisms Introduces the practical applications of gesture recognition in real-world scenarios, enabling readers to enhance their practical application skills while learning about relevant technologies Demonstrates four main categories of gesture recognition methods and analyzes their associated challenges

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