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Author: Steven Daniel Lovell
Publisher:
ISBN:
Category :
Languages : en
Pages : 103
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Book Description
This thesis describes the design and implementation of a wireless 6 degree-of-freedom inertial sensor system to be used for multiple-user, real-time gesture recognition and coordinated activity detection. Analysis is presented that shows that the data streams captured can be readily processed to detect gestures and coordinated activity. Finally, some pertinent research that can be pursued with these nodes in the areas of biomotion analysis and interactive entertainment are introduced.
Author: Steven Daniel Lovell
Publisher:
ISBN:
Category :
Languages : en
Pages : 103
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Book Description
This thesis describes the design and implementation of a wireless 6 degree-of-freedom inertial sensor system to be used for multiple-user, real-time gesture recognition and coordinated activity detection. Analysis is presented that shows that the data streams captured can be readily processed to detect gestures and coordinated activity. Finally, some pertinent research that can be pursued with these nodes in the areas of biomotion analysis and interactive entertainment are introduced.
Author: Kane, Lalit
Publisher: IGI Global
ISBN: 1799894363
Category : Computers
Languages : en
Pages : 249
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Book Description
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.
Author: Alexander Refsum Jensenius
Publisher: Springer
ISBN: 3319472143
Category : Technology & Engineering
Languages : en
Pages : 506
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Book Description
What is a musical instrument? What are the musical instruments of the future? This anthology presents thirty papers selected from the fifteen year long history of the International Conference on New Interfaces for Musical Expression (NIME). NIME is a leading music technology conference, and an important venue for researchers and artists to present and discuss their explorations of musical instruments and technologies. Each of the papers is followed by commentaries written by the original authors and by leading experts. The volume covers important developments in the field, including the earliest reports of instruments like the reacTable, Overtone Violin, Pebblebox, and Plank. There are also numerous papers presenting new development platforms and technologies, as well as critical reflections, theoretical analyses and artistic experiences. The anthology is intended for newcomers who want to get an overview of recent advances in music technology. The historical traces, meta-discussions and reflections will also be of interest for longtime NIME participants. The book thus serves both as a survey of influential past work and as a starting point for new and exciting future developments.
Author: Sergio Escalera
Publisher: Springer
ISBN: 3319570218
Category : Computers
Languages : en
Pages : 583
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Book Description
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.
Author: Mubarak Shah
Publisher: Springer Science & Business Media
ISBN: 9401589356
Category : Computers
Languages : en
Pages : 378
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Book Description
Motion-based recognition deals with the recognition of an object and/or its motion, based on motion in a series of images. In this approach, a sequence containing a large number of frames is used to extract motion information. The advantage is that a longer sequence leads to recognition of higher level motions, like walking or running, which consist of a complex and coordinated series of events. Unlike much previous research in motion, this approach does not require explicit reconstruction of shape from the images prior to recognition. This book provides the state-of-the-art in this rapidly developing discipline. It consists of a collection of invited chapters by leading researchers in the world covering various aspects of motion-based recognition including lipreading, gesture recognition, facial expression recognition, gait analysis, cyclic motion detection, and activity recognition. Audience: This volume will be of interest to researchers and post- graduate students whose work involves computer vision, robotics and image processing.
Author: Carlos Travieso-Gonzalez
Publisher: BoD – Books on Demand
ISBN: 9535133772
Category : Computers
Languages : en
Pages : 175
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Book Description
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.
Author: Randy Adams
Publisher: Springer Science & Business Media
ISBN: 3540794867
Category : Computers
Languages : en
Pages : 499
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Book Description
This volume collects selected papers from the past two instances of Digital Art Weeks (Zurich, Switzerland) and Interactive Futures (Victoria, BC, Canada), two parallel festivals of digital media art. The work represented in Transdisciplinary Digital Art is a confirmation of the vitality and breadth of the digital arts. Collecting essays that broadly encompass the digital arts, Transdisciplinary Digital Art gives a clear overview of the on-going strength of scientific, philosophical, aesthetic and artistic research that makes digital art perhaps the defining medium of the 21st Century.
Author: Rapeepan Maitree
Publisher:
ISBN:
Category : Deaf
Languages : en
Pages : 140
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Book Description
This study aims to develop a real-time continuous gestures classification system. The approach does not rely on using any gloves, visual markings, or special camera to achieve the recognition task. Instead, it uses just real-time video streaming of bare hand from a webcam. The top priority of this work is to create a robust, accessible, and flexible system that capable of dealing with different kinds of gestures (those that are solely characterized by the hand shape but not the motion, and those that required a specific hand or fingers movement) and determining how and when the system should respond to each gesture. The framework for handling both gesture types is a novel approach, and the evaluation shows promising results at 91.77% average correct classification using all 26 American Sign Language (ASL) manual alphabets as the examples. The system also achieves real-time performance at an average of 25 FPS. Other novel approaches in this study include the use of adaptive background model with the combination of elliptical skin-color model, K-mean clustering, and local region Gaussian mixture to detect hand under complex background. The configuration that allows the system to respond promptly to the gesture when it starts or ends, and the use of fingers counting to help increase the accuracy during the detection and classification stages are also developed.
Author: Zannatul Ferdousi
Publisher:
ISBN:
Category :
Languages : en
Pages : 167
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Book Description
Author: Honghai Liu
Publisher: Springer
ISBN: 3662536927
Category : Technology & Engineering
Languages : en
Pages : 287
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Book Description
This book introduces readers to the latest exciting advances in human motion sensing and recognition, from the theoretical development of fuzzy approaches to their applications. The topics covered include human motion recognition in 2D and 3D, hand motion analysis with contact sensors, and vision-based view-invariant motion recognition, especially from the perspective of Fuzzy Qualitative techniques. With the rapid development of technologies in microelectronics, computers, networks, and robotics over the last decade, increasing attention has been focused on human motion sensing and recognition in many emerging and active disciplines where human motions need to be automatically tracked, analyzed or understood, such as smart surveillance, intelligent human-computer interaction, robot motion learning, and interactive gaming. Current challenges mainly stem from the dynamic environment, data multi-modality, uncertain sensory information, and real-time issues. These techniques are shown to effectively address the above challenges by bridging the gap between symbolic cognitive functions and numerical sensing & control tasks in intelligent systems. The book not only serves as a valuable reference source for researchers and professionals in the fields of computer vision and robotics, but will also benefit practitioners and graduates/postgraduates seeking advanced information on fuzzy techniques and their applications in motion analysis.
