Download or read book Gesture Recognition Using Leap Motion written by Ioannis Zifos and published by . This book was released on 2015 with total page 62 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Statistical Hand Gesture Recognition System Using the Leap Motion Controller written by Michael Dimartino and published by . This book was released on 2016 with total page 44 pages. Available in PDF, EPUB and Kindle. Book excerpt: As technology continues to improve, hand gesture recognition as a form of humancomputer interaction is becoming more and more feasible. One such piece of technology, the Leap Motion Controller, provides 3D tracking data of the hands through an easy-to-use API. This thesis presents an application that uses Leap Motion tracking data to learn and recognize static and dynamic hand gestures. Gestures are recognized using statistical pattern recognition. Each gesture is defined by a set of features including fingertip positions, hand orientation, and movement. Given sufficient training data, the similarity between two gestures is measured by comparing each of their corresponding features. Two separate implementations are presented for dealing with the temporal aspect of dynamic gestures. Users are able to interact with the system using a convenient graphical user interface. The accuracy of the system was experimentally tested with the help of two separate test participants: one for the training phase and one for the recognition phase. All test gestures (both static and dynamic) were successfully recognized with minimal training data. In some cases, additional gestures were mistakenly recognized.
Download or read book Challenges and Applications for Hand Gesture Recognition written by Bhupesh Kumar Dewangan and published by Engineering Science Reference. This book was released on 2022 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book highlights various aspects of the state-of-art practices and new directions of Hand Gesture Recognition (HGR) research offerings"--
Download or read book Leap Motion for Developers written by Abhishek Nandy and published by Apress. This book was released on 2016-12-12 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Develop apps and games using the Leap Motion sensor. This book starts with a brief introduction to Leap Motion, then covers getting the Leap Motion working and setting up a Leap Motion development environment. Leap Motion for Developers also covers the life cycle of how you interact with Leap Motion and the workflow of making a complete app. You’ll see how to use different programming languages for simple and steady development. The next part of the book walks through the basics of Leap Motion with Python and Java. We will then work on using Leap Motion with Unity, where we will build an app using Unity and then add different functionality to it. In the last part we cover Unreal 4, Processing, and JavaScript for Leap Motion. What You Will Learn Look at the basics of Leap Motion Develop apps for the Leap Motion sensor See how different languages work with Leap Motion Discover the future of Leap Motion Who This Book Is For Students, developers, game developers, and tech enthusiasts.
Download or read book Hand Gesture Recognition Via Leap Motion Sensor written by Jahangir Iqbal and published by . This book was released on 2017 with total page 67 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book An Experimental Analysis of Feature Selection for Dynamic Hand Gesture Recognition with Leap Motion Controller written by Chi Fai Lam and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Sign Language Static Gesture Recognition Using Leap Motion written by Stephen H. McNeil (Jr..) and published by . This book was released on 2017 with total page 92 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Motion Tracking and Gesture Recognition written by Carlos Travieso-Gonzalez and published by BoD – Books on Demand. This book was released on 2017-07-12 with total page 175 pages. Available in PDF, EPUB and Kindle. Book excerpt: Nowadays, the technological advances allow developing many applications on different fields. In this book Motion Tracking and Gesture Recognition, two important fields are shown. Motion tracking is observed by a hand-tracking system for surgical training, an approach based on detection of dangerous situation by the prediction of moving objects, an approach based on human motion detection results and preliminary environmental information to build a long-term context model to describe and predict human activities, and a review about multispeaker tracking on different modalities. On the other hand, gesture recognition is shown by a gait recognition approach using Kinect sensor, a study of different methodologies for studying gesture recognition on depth images, and a review about human action recognition and the details about a particular technique based on a sensor of visible range and with depth information.
Download or read book Implementation of Hand Gesture Recognition System Based on Leap Motion and Neural Network written by and published by . This book was released on 2015 with total page 55 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Gesture Recognition written by Sergio Escalera and published by Springer. This book was released on 2017-07-19 with total page 583 pages. 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.
Download or read book Gesture Recognition written by Fouad Sabry and published by One Billion Knowledgeable. This book was released on 2024-05-13 with total page 125 pages. Available in PDF, EPUB and Kindle. Book excerpt: What is Gesture Recognition Gesture recognition is an area of research and development in computer science and language technology concerned with the recognition and interpretation of human gestures. A subdiscipline of computer vision, it employs mathematical algorithms to interpret gestures. How you will benefit (I) Insights, and validations about the following topics: Chapter 1: Gesture recognition Chapter 2: Pointing device gesture Chapter 3: User interface Chapter 4: Affective computing Chapter 5: Handheld projector Chapter 6: Tangible user interface Chapter 7: Multimodal interaction Chapter 8: Voice user interface Chapter 9: Wired glove Chapter 10: Multi-touch (II) Answering the public top questions about gesture recognition. (III) Real world examples for the usage of gesture recognition in many fields. Who this book is for Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of Gesture Recognition.
Download or read book Advances on P2P Parallel Grid Cloud and Internet Computing written by Fatos Xhafa and published by Springer. This book was released on 2016-10-21 with total page 988 pages. Available in PDF, EPUB and Kindle. Book excerpt: P2P, Grid, Cloud and Internet computing technologies have been very fast established as breakthrough paradigms for solving complex problems by enabling aggregation and sharing of an increasing variety of distributed computational resources at large scale. The aim of this volume is to provide latest research findings, innovative research results, methods and development techniques from both theoretical and practical perspectives related to P2P, Grid, Cloud and Internet computing as well as to reveal synergies among such large scale computing paradigms. This proceedings volume presents the results of the 11th International Conference on P2P, Parallel, Grid, Cloud And Internet Computing (3PGCIC-2016), held November 5-7, 2016, at Soonchunhyang University, Asan, Korea
Download or read book Leap Motion Development Essentials written by Mischa Spiegelmock and published by Packt Publishing Ltd. This book was released on 2013-10-25 with total page 234 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a fast-paced guide with practical examples that aims to help you understand and master the Leap Motion SDK.This book is for developers who are either involved in game development or who are looking to utilize Leap Motion technology in order to create brand new user interaction experiences to distinguish their products from the mass market. You should be comfortable with high-level languages and object-oriented development concepts in order to get the most out of this book.
Download or read book Gesture Recognition written by Amit Konar and published by Springer. This book was released on 2017-07-04 with total page 289 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a thorough analysis of gestural data extracted from raw images and/or range data with an aim to recognize the gestures conveyed by the data. It covers image morphological analysis, type-2 fuzzy logic, neural networks and evolutionary computation for classification of gestural data. The application areas include the recognition of primitive postures in ballet/classical Indian dances, detection of pathological disorders from gestural data of elderly people, controlling motion of cars in gesture-driven gaming and gesture-commanded robot control for people with neuro-motor disability. The book is unique in terms of its content, originality and lucid writing style. Primarily intended for graduate students and researchers in the field of electrical/computer engineering, the book will prove equally useful to computer hobbyists and professionals engaged in building firmware for human-computer interfaces. A prerequisite of high school level mathematics is sufficient to understand most of the chapters in the book. A basic background in image processing, although not mandatory, would be an added advantage for certain sections.
Download or read book Programming Computer Vision with Python written by Jan Erik Solem and published by "O'Reilly Media, Inc.". This book was released on 2012-06-19 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: If you want a basic understanding of computer vision’s underlying theory and algorithms, this hands-on introduction is the ideal place to start. You’ll learn techniques for object recognition, 3D reconstruction, stereo imaging, augmented reality, and other computer vision applications as you follow clear examples written in Python. Programming Computer Vision with Python explains computer vision in broad terms that won’t bog you down in theory. You get complete code samples with explanations on how to reproduce and build upon each example, along with exercises to help you apply what you’ve learned. This book is ideal for students, researchers, and enthusiasts with basic programming and standard mathematical skills. Learn techniques used in robot navigation, medical image analysis, and other computer vision applications Work with image mappings and transforms, such as texture warping and panorama creation Compute 3D reconstructions from several images of the same scene Organize images based on similarity or content, using clustering methods Build efficient image retrieval techniques to search for images based on visual content Use algorithms to classify image content and recognize objects Access the popular OpenCV library through a Python interface
Download or read book Robust Hand Gesture Recognition for Robotic Hand Control written by Ankit Chaudhary and published by Springer. This book was released on 2017-06-05 with total page 108 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on light invariant bare hand gesture recognition while there is no restriction on the types of gestures. Observations and results have confirmed that this research work can be used to remotely control a robotic hand using hand gestures. The system developed here is also able to recognize hand gestures in different lighting conditions. The pre-processing is performed by developing an image-cropping algorithm that ensures only the area of interest is included in the segmented image. The segmented image is compared with a predefined gesture set which must be installed in the recognition system. These images are stored and feature vectors are extracted from them. These feature vectors are subsequently presented using an orientation histogram, which provides a view of the edges in the form of frequency. Thereby, if the same gesture is shown twice in different lighting intensities, both repetitions will map to the same gesture in the stored data. The mapping of the segmented image's orientation histogram is firstly done using the Euclidian distance method. Secondly, the supervised neural network is trained for the same, producing better recognition results. An approach to controlling electro-mechanical robotic hands using dynamic hand gestures is also presented using a robot simulator. Such robotic hands have applications in commercial, military or emergency operations where human life cannot be risked. For such applications, an artificial robotic hand is required to perform real-time operations. This robotic hand should be able to move its fingers in the same manner as a human hand. For this purpose, hand geometry parameters are obtained using a webcam and also using KINECT. The parameter detection is direction invariant in both methods. Once the hand parameters are obtained, the fingers’ angle information is obtained by performing a geometrical analysis. An artificial neural network is also implemented to calculate the angles. These two methods can be used with only one hand, either right or left. A separate method that is applicable to both hands simultaneously is also developed and fingers angles are calculated. The contents of this book will be useful for researchers and professional engineers working on robotic arm/hand systems.
Download or read book Image Analysis and Processing ICIAP 2019 written by Elisa Ricci and published by Springer Nature. This book was released on 2019-09-04 with total page 561 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume set LNCS 11751 and 11752 constitutes the refereed proceedings of the 20th International Conference on Image Analysis and Processing, ICIAP 2019, held in Trento, Italy, in September 2019. The 117 papers presented were carefully reviewed and selected from 207 submissions. The papers cover both classic and the most recent trends in image processing, computer vision, and pattern recognition, addressing both theoretical and applicative aspects. They are organized in the following topical sections: Video Analysis and Understanding; Pattern Recognition and Machine Learning; Deep Learning; Multiview Geometry and 3D Computer Vision; Image Analysis, Detection and Recognition; Multimedia; Biomedical and Assistive Technology; Digital Forensics; Image processing for Cultural Heritage.
