Challenges and Applications for Hand Gesture Recognition

Challenges and Applications for Hand Gesture Recognition PDF 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.

Sensor Systems for Gesture Recognition

Sensor Systems for Gesture Recognition PDF Author: Giovanni Saggio
Publisher: Mdpi AG
ISBN: 9783036586946
Category : Computers
Languages : en
Pages : 0

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Book Description
Gesture recognition (GR) aims to interpret human gestures, having an impact on a number of different application fields. This Special Issue is devoted to describing and examining up-to-date technologies to measure gestures, algorithms to interpret data, and applications related to GR. These technologies involve camera-based systems (e.g., ground truth system, GTS; Azura Kinect), wearable sensors (e.g., inertial measurement units, IMUs; micro electro-mechanical systems, MEMS; angular displacement sensors, ADS; resistive flex sensors, RFSs), electromagnetic field measurements (e.g., leap motion sensor), acoustic-based inputs (e.g., microphone, stethoscope), radar systems (e.g., continuous wave), and tactile sensors (e.g., pressure sensitive transistors). Data interpretations are detailed by means of classifiers (e.g., neural networks, NN; convolutional neural network, CNN; hidden Markov models, HMM; and k-nearest neighbors, kNN). The applications are for medical purposes (e.g., to provide physiotherapy solutions, to assess Parkinson's disease, and to electrocardiogram detection), for social inclusion (e.g., sign language recognition: British, American, and Italian ones), for sport activity scoring (e.g., taekwondo), for machine interaction (e.g., to control a holographic display), and for safety purposes (e.g., to drowsiness recognition). This Special Issue is addressed to all the researchers, professionals, and designers interested in GR and to all the users driven by curiosity and passion. The Guest Editors would like to acknowledge and express their gratitude to all of the authors involved.

Adaptive Mobile Robotics

Adaptive Mobile Robotics PDF Author: Abul K. M. Azad
Publisher: World Scientific
ISBN: 9814415944
Category : Technology & Engineering
Languages : en
Pages : 904

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Book Description
This book provides state-of-the-art scientific and engineering research findings and developments in the area of mobile robotics and associated support technologies. The book contains peer reviewed articles presented at the CLAWAR 2012 conference. Robots are no longer confined to industrial and manufacturing environments. A great deal of interest is invested in the use of robots outside the factory environment. The CLAWAR conference series, established as a high profile international event, acts as a platform for dissemination of research and development findings and supports such a trend to address the current interest in mobile robotics to meet the needs of mankind in various sectors of the society. These include personal care, public health, services in the domestic, public and industrial environments. The editors of the book have extensive research experience and publications in the area of robotics in general and in mobile robotics specifically, and their experience is reflected in editing the contents of the book.

Gesture Recognition

Gesture Recognition PDF Author: Qiguang Miao
Publisher: Elsevier
ISBN: 0443289603
Category : Computers
Languages : en
Pages : 225

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Book Description
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

Distributed Computing and Artificial Intelligence

Distributed Computing and Artificial Intelligence PDF Author: Sigeru Omatu
Publisher: Springer Science & Business Media
ISBN: 3642287654
Category : Technology & Engineering
Languages : en
Pages : 783

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Book Description
The International Symposium on Distributed Computing and Artificial Intelligence 2012 (DCAI 2012) is a stimulating and productive forum where the scientific community can work towards future cooperation in Distributed Computing and Artificial Intelligence areas. This conference is a forum in which applications of innovative techniques for solving complex problems will be presented. Artificial intelligence is changing our society. Its application in distributed environments, such as the internet, electronic commerce, environment monitoring, mobile communications, wireless devices, distributed computing, to mention only a few, is continuously increasing, becoming an element of high added value with social and economic potential, in industry, quality of life, and research. These technologies are changing constantly as a result of the large research and technical effort being undertaken in both universities and businesses. The exchange of ideas between scientists and technicians from both the academic and industry sector is essential to facilitate the development of systems that can meet the ever increasing demands of today's society. This edition of DCAI brings together past experience, current work, and promising future trends associated with distributed computing, artificial intelligence and their application in order to provide efficient solutions to real problems. This symposium is organized by the Bioinformatics, Intelligent System and Educational Technology Research Group (http://bisite.usal.es/) of the University of Salamanca. The present edition will be held in Salamanca, Spain, from 28th to 30th March 2012.

Sensor Systems and Software

Sensor Systems and Software PDF Author: Stephen Hailes
Publisher: Springer Science & Business Media
ISBN: 3642115276
Category : Computers
Languages : en
Pages : 298

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Book Description
The First International ICST Conference on Sensor Systems and Software (S-cube 2009) was held during 7–8 September in Pisa, Italy. This new international conference was dedicated to addressing the research challenges facing system dev- opment and software support for systems based on wireless sensor networks (WSNs) that have the potential to impact society in many ways. Currently, wireless sensor networks introduce innovative and interesting application scenarios that may support a large amount of different applications including environmental monitoring, disaster prevention, building automation, object tracking, nuclear reactor control, fire det- tion, agriculture, healthcare, and traffic monitoring. The widespread acceptance of these new services can be improved by the definition of frameworks and architectures that have the potential to radically simplify software development for wireless sensor network-based applications. The aim of these new architectures is to support flexible, scalable programming of applications based on adaptive middleware. As a con- quence, WSNs require novel programming paradigms and technologies. Moreover, the design of new complex systems, characterized by the interaction of different and heterogeneous resources, will allow the development of innovative applications that meet high-performance goals. Hence, WSNs require contributions from many fields such as embedded systems, distributed systems, data management, system security and applications. The conference places emphasis on layers well above the traditional MAC and routing and transport layer protocols.

Motion Tracking and Gesture Recognition

Motion Tracking and Gesture Recognition PDF 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.

Multi-User Gesture Recognition with Radar Technology

Multi-User Gesture Recognition with Radar Technology PDF Author: Ninos, Alexandros
Publisher: KIT Scientific Publishing
ISBN: 3731512254
Category : Technology & Engineering
Languages : en
Pages : 164

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Book Description
The aim of this work is the development of a Radar system for consumer applications. It is capable of tracking multiple people in a room and offers a touchless human-machine interface for purposes that range from entertainment to hygiene.

Making Sense of Sensors

Making Sense of Sensors PDF Author: Omesh Tickoo
Publisher: Apress
ISBN: 1430265930
Category : Computers
Languages : en
Pages : 126

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Book Description
Make the most of the common architectures used for deriving meaningful data from sensors. This book provides you with the tools to understand how sensor data is converted into actionable knowledge and provides tips for in-depth work in this field. Making Sense of Sensors starts with an overview of the general pipeline to extract meaningful data from sensors. It then dives deeper into some commonly used sensors and algorithms designed for knowledge extraction. Practical examples and pointers to more information are used to outline the key aspects of Multimodal recognition. The book concludes with a discussion on relationship extraction, knowledge representation, and management. In today’s world we are surrounded by sensors collecting various types of data about us and our environments. These sensors are the primary input devices for wearable computers, IoT, and other mobile devices. The information is presented in way that allows readers to associate the examples with their daily lives for better understanding of the concepts. What You'll Learn Look at the general architecture for sensor based data Understand how data from common domains such as inertial, visual and audio is processed Master multi-modal recognition using multiple heterogeneous sensors Transition from recognition to knowledge through relationship understanding between entities Leverage different methods and tools for knowledge representation and management Who This Book Is For New college graduates and professionals interested in acquiring knowledge and the skills to develop innovative solutions around today's sensor-rich devices.

Tactile Sensing Technology and Systems

Tactile Sensing Technology and Systems PDF Author: Maurizio Valle
Publisher: MDPI
ISBN: 3039365010
Category : Technology & Engineering
Languages : en
Pages : 136

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Book Description
Tactile sensors are basically distributed sensors which translate mechanical and physical variables and pain stimuli into electrical variables. Contact information is further processed and conveyed to a supervising system. Tactile arrays ought to be mechanically flexible (i.e., conformable to the object it is applied to) and stretchable and tactile information decoding must be implemented in real time. The development of artificial tactile sensing is a big challenge as it involves numerous research areas. Application domains include humanoid and industrial robotics, prosthetics, biomedical instrumentation, health care, cyber physical systems, virtual reality, arts, to name but a few. Recent and relevant achievements in materials and transducers have not yet successfully boosted system developments due to the challenging gaps which still need to be filled at many levels, e.g. data decoding and processing, miniaturization, mechanical compliance, robustness, among others. Tactile sensing has developed rapidly over the past three decades, but has yet to achieve high impact breakthroughs in application domains. In this Special Issue, we focus on both insights and advancements in tactile sensing with the goal of bridging different research areas, e.g., material science, electronics, robotics, neuroscience, mechanics, sensors, MEMS/NEMS, addictive and 3D manufacturing, bio and neuro-engineering.