Download or read book Depth Camera Based Hand Gesture Recognition for Training a Robot to Perform Sign Language written by Da Zhi and published by . This book was released on 2018 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This thesis presents a novel depth camera-based real-time hand gesture recognition system for training a human-like robot hand to interact with humans through sign language. We developed a modular real-time Hand Gesture Recognition (HGR) system, which uses multiclass Support Vector Machine (SVM) for training and recognition of the static hand postures and N-Dimensional Dynamic Time Warping (ND-DTW) for dynamic hand gestures recognition. A 3D hand gestures training/testing dataset was recorded using a depth camera tailored to accommodate the kinematic constructive limitations of the human-like robotic hand. Experimental results show that the multiclass SVM method has an overall 98.34% recognition rate in the HRI (Human-Robot Interaction) mode and 99.94% recognition rate in the RRI (Robot-Robot Interaction) mode, as well as the lowest average run time compared to the k-NN (k-Nearest Neighbour) and ANBC (Adaptive Naïve Bayes Classifier) approaches. In dynamic gestures recognition, the ND-DTW classifier displays a better performance than DHMM (Discrete Hidden Markov Model) with a 97% recognition rate and significantly shorter run time. In conclusion, the combination of multiclass SVM and ND-DTW provides an efficient solution for the real-time recognition of the hand gesture used for training a robot arm to perform sign language.

Download or read book Challenges and Applications for Hand Gesture Recognition written by Kane, Lalit and published by IGI Global. This book was released on 2022-03-25 with total page 249 pages. 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.

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 Hand Gesture Recognition Using Kinect written by Yi Li and published by . This book was released on 2012 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Hand gesture recognition (HGR) is an important research topic because some situations require silent communication with sign languages. Computational HGR systems assist silent communication, and help people learn a sign language. In this thesis. a novel method for contact-less HGR using Microsoft Kinect for Xbox is described, and a real-time HCR system is implemented with Microsoft Visual Studio 2010. Two different scenarios for HGR are provided: the Popular Gesture with nine gestures, and the Numbers with nine gestures. The system allows the users to select a scenario, and it is able to detect hand gestures made by users. to identify fingers, and to recognize the meanings of gestures, and to display the meanings and pictures on screen. The accuracy of the HGR system is from 84% to 99% with single hand gestures, and from 90% to 100% if both hands perform the same gesture at the same time. Because the depth sensor of Kinect is an infrared camera, the lighting conditions. signers' skin colors and clothing, and background have little impact on the performance of this system. The accuracy and the robustness make this system a versatile component that can be integrated in a variety of applications in daily life.

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 Real time Hand Gesture Recognition Sign Language to Voice Conversion written by Amalaraj Alex Vijay Raj and published by LAP Lambert Academic Publishing. This book was released on 2015-07-24 with total page 60 pages. Available in PDF, EPUB and Kindle. Book excerpt: The main aim of the project is to implement a real-time system that converts hand gestures from the American Sign Language(ASL) to voice signals. This could be used by the people with speaking disabilities to communicate with other people. For this purpose, surface Electromyogram(EMG) which is the measure of electrical activity from the forearm muscle and accelerometer which measures the acceleration of the hand motions were used. A wearable data collection device called Shimmer was used for recording these signals from the user and transmitting the collected data to Matlab using Bluetooth. A pattern recognition algorithm was implemented in Matlab which processed the signals and displayed output decisions based on the gesture that was performed. Several tests were performed on one-human subject to identify multiple single-handed and two-handed gestures to recognize various word as well as basic sentences in the ASL. The experimental results were recorded and discussed.

Download or read book Computational Vision and Medical Image Processing IV written by Joao Manuel RS Tavares and published by CRC Press. This book was released on 2013-10-01 with total page 452 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational Vision and Medical Image Processing. VIPIMAGE 2013 contains invited lectures and full papers presented at VIPIMAGE 2013 - IV ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing (Funchal, Madeira Island, Portugal, 14-16 October 2013). International contributions from 16 countries provide a comprehensive coverage of the current state-of-the-art in the fields of: 3D Vision; Computational Bioimaging and Visualization; Computational Vision and Image Processing applied to Dental Medicine; Computational Vision; Computer Aided Diagnosis, Surgery, Therapy, and Treatment; Data Interpolation, Registration, Acquisition and Compression; Image Processing and Analysis; Image Segmentation; Imaging of Biological Flows; Medical Imaging; Physics of Medical Imaging; Shape Reconstruction; Signal Processing; Simulation and Modeling; Software Development for Image Processing and Analysis; Telemedicine Systems and their Applications; Trabecular Bone Characterization; Tracking and Analysis of Movement; Virtual Reality. Related techniques covered in this book include the level set method, finite element method, modal analyses, stochastic methods, principal and independent components analysis and distribution models. Computational Vision and Medical Image Processing. VIPIMAGE 2013 is useful to academics, researchers and professionals in Biomechanics, Biomedical Engineering, Computational Vision (image processing and analysis), Computer Sciences, Computational Mechanics and Medicine.

Download or read book Hybrid Metaheuristics for Image Analysis written by Siddhartha Bhattacharyya and published by Springer. This book was released on 2018-07-30 with total page 263 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents contributions in the field of computational intelligence for the purpose of image analysis. The chapters discuss how problems such as image segmentation, edge detection, face recognition, feature extraction, and image contrast enhancement can be solved using techniques such as genetic algorithms and particle swarm optimization. The contributions provide a multidimensional approach, and the book will be useful for researchers in computer science, electrical engineering, and information technology.

Download or read book Modeling Simulation and Optimization written by Biplab Das and published by Springer Nature. This book was released on 2022-06-28 with total page 661 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes selected peer-reviewed papers presented at the International Conference on Modeling, Simulation and Optimization (CoMSO 2021), organized by National Institute of Technology, Silchar, Assam, India, during December 16–18, 2021. The book covers topics of modeling, simulation and optimization, including computational modeling and simulation, system modeling and simulation, device/VLSI modeling and simulation, control theory and applications, modeling and simulation of energy systems and optimization. The book disseminates various models of diverse systems and includes solutions of emerging challenges of diverse scientific fields.

Download or read book Dual sensor Approaches for Real time Robust Hand Gesture Recognition written by Kui Liu and published by . This book was released on 2015 with total page 198 pages. Available in PDF, EPUB and Kindle. Book excerpt: The use of hand gesture recognition has been steadily growing in various human-computer interaction applications. Under realistic operating conditions, it has been shown that hand gesture recognition systems exhibit recognition rate limitations when using a single sensor. Two dual-sensor approaches have thus been developed in this dissertation in order to improve the performance of hand gesture recognition under realistic operating conditions. The first approach involves the use of image pairs from a stereo camera setup by merging the image information from the left and right camera, while the second approach involves the use of a Kinect depth camera and an inertial sensor by fusing differing modality data within the framework of a hidden Markov model. The emphasis of this dissertation has been on system building and practical deployment. More specifically, the major contributions of the dissertation are: (a) improvement of hand gestures recognition rates when using a pair of images from a stereo camera compared to when using a single image by fusing the information from the left and right images in a complementary manner, and (b) improvement of hand gestures recognition rates when using a dual-modality sensor setup consisting of a Kinect depth camera and an inertial body sensor compared to the situations when each sensor is used individually on its own. Experimental results obtained indicate that the developed approaches generate higher recognition rates in different backgrounds and lighting conditions compared to the situations when an individual sensor is used. Both approaches are designed such that the entire recognition system runs in real-time on PC platform.

Download or read book Artificial Intelligence and Soft Computing written by Leszek Rutkowski and published by Springer. This book was released on 2014-05-22 with total page 834 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume set LNAI 8467 and LNAI 8468 constitutes the refereed proceedings of the 13th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2014, held in Zakopane, Poland in June 2014. The 139 revised full papers presented in the volumes, were carefully reviewed and selected from 331 submissions. The 69 papers included in the first volume are focused on the following topical sections: Neural Networks and Their Applications, Fuzzy Systems and Their Applications, Evolutionary Algorithms and Their Applications, Classification and Estimation, Computer Vision, Image and Speech Analysis and Special Session 3: Intelligent Methods in Databases. The 71 papers in the second volume are organized in the following subjects: Data Mining, Bioinformatics, Biometrics and Medical Applications, Agent Systems, Robotics and Control, Artificial Intelligence in Modeling and Simulation, Various Problems of Artificial Intelligence, Special Session 2: Machine Learning for Visual Information Analysis and Security, Special Session 1: Applications and Properties of Fuzzy Reasoning and Calculus and Clustering.

Download or read book Artificial Intelligence and Soft Computing written by Leszek Rutkowski and published by Springer. This book was released on 2012-04-23 with total page 720 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume set LNAI 7267 and LNCS 7268 (together with LNCS 7269) constitutes the refereed proceedings of the 11th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2012, held in Zakopane, Poland in April/May 2012. The 212 revised full papers presented were carefully reviewed and selected from 483 submissions. The papers are organized in topical sections on neural networks and their applications, computer vision, image and speech analysis, data mining, hardware implementation, bioinformatics, biometrics and medical applications, concurrent parallel processing, agent systems, robotics and control, artificial intelligence in modeling and simulation, various problems od artificial intelligence.

Download or read book Gesture Recognition written by Kevin Roebuck and published by . This book was released on 2011 with total page 778 pages. Available in PDF, EPUB and Kindle. Book excerpt: Gesture recognition is a topic in computer science and language technology with the goal of interpreting human gestures via mathematical algorithms. Gestures can originate from any bodily motion or state but commonly originate from the face or hand. Current focuses in the field include emotion recognition from the face and hand gesture recognition. Many approaches have been made using cameras and computer vision algorithms to interpret sign language. However, the identification and recognition of posture, gait, proxemics, and human behaviors is also the subject of gesture recognition techniques. Gesture recognition can be seen as a way for computers to begin to understand human body language, thus building a richer bridge between machines and humans than primitive text user interfaces or even GUIs (graphical user interfaces), which still limit the majority of input to keyboard and mouse. This book is your ultimate resource for Gesture Recognition. Here you will find the most up-to-date information, analysis, background and everything you need to know. In easy to read chapters, with extensive references and links to get you to know all there is to know about Gesture Recognition right away, covering: Gesture recognition, 3D computer vision, Agent Vi (Agent Video Intelligence), Augmented reality, Automated optical inspection, Automatic image annotation, Automatic number plate recognition, Automatic target recognition, Check weigher, Closed-circuit television, Computer stereo vision, Content-based image retrieval, Digital video fingerprinting, GazoPa, Google Goggles, Image retrieval, Image-based modeling and rendering, Intelligent character recognition, Iris recognition, Machine vision, Object detection, Optical character recognition, Pedestrian detection, People counter, Physical computing, Red light camera, Remote sensing, Smart camera, Traffic enforcement camera, Traffic sign recognition, Vehicle infrastructure integration, Video Content Analysis, View synthesis, Visual sensor network, 3D single object recognition, Bag of words model in computer vision, Boosting methods for object categorization, Face detection, Histogram of oriented gradients, LabelMe, Microsoft Surface, Object categorization from image search, Object recognition (computer vision), Part-based models, Scale-invariant feature transform, Segmentation-based object categorization, Viola-Jones object detection framework, Apple Mouse, Augmentation Research Center, Brain implant, CICS, Command-line interface, Comparison of consumer brain-computer interfaces, Docuverse, Dynabook, Electronic Document System, Emotiv Systems, Eye tracking, History of automated adaptive instruction in computer applications, History of Inform releases, History of the graphical user interface, History of virtual learning environments, History of virtual learning environments in the 1990s, Hypertext Editing System, IBM 2260, IBM 2741, IBM 3270, In the Beginning... Was the Command Line, Intelligence amplification, Kinect, Memex, The Mother of All Demos, Mouse (computing), Mouse button, Mousepad, Mundaneum, Natural user interface, Neural Impulse Actuator, NeuroSky, NLS (computer system), Office of the future, Optical mouse, Paperless office, Paperless society, PARC (company), Pilot (operating system), Sketch recognition, Sketchpad, SpaceOrb 360, Speech recognition, Speech synthesis, Touchpad, Trackball, Voice command device, Voice Navigator, Neil Weste, Wired glove, Xerox Star, 3D Interaction, Accelerator (Internet Explorer), Accelerator table, Adjustment handles, Alt-Tab, Attentive user interface, Balloon help, Bounce keys, Brace matching, Brain-computer interface...and much more This book explains in-depth the real drivers and workings of Gesture Recognition. It reduces the risk of your technology, time and resources investment decisions by enabling you to compare your understanding of Gesture Recognition with the objectivity of experienced professionals.

Download or read book RoboCup 2013 Robot World Cup XVII written by Sven Behnke and published by Springer. This book was released on 2014-07-16 with total page 701 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes the thoroughly refereed post-conference proceedings of the 17th Annual RoboCup International Symposium, held in Eindhoven, The Netherlands, in June 2013. The 20 revised papers presented together with 11 champion team papers, 3 best paper awards, 11 oral presentations, and 19 special track on open-source hard- and software papers were carefully reviewed and selected from 78 submissions. The papers present current research and educational activities within the fields of robotics and artificial intelligence with a special focus to robot hardware and software, perception and action, robotic cognition and learning, multi-robot systems, human-robot interaction, education and edutainment, and applications.

Download or read book Universal Access in Human Computer Interaction Multimodality and Assistive Environments written by Margherita Antona and published by Springer. This book was released on 2019-07-10 with total page 625 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume set constitutes the proceedings of the 13th International Conference on Universal Access in Human-Computer Interaction, UAHCI 2019, held as part of the 21st International Conference, HCI International 2019, which took place in Orlando, FL, USA, in July 2019. The total of 1274 papers and 209 posters included in the 35 HCII 2019 proceedings volumes was carefully reviewed and selected from 5029 submissions. UAHCI 2019 includes a total of 95 regular papers; they were organized in topical sections named: universal access theory, methods and tools; novel approaches to accessibility; universal access to learning and education; virtual and augmented reality in universal access; cognitive and learning disabilities; multimodal interaction; and assistive environments.

Download or read book Intelligent Robotics and Applications written by Jangmyung Lee and published by Springer. This book was released on 2013-08-23 with total page 779 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two volumes set LNAI 8102 and LNAI 8103 constitutes the refereed proceedings of the 6th International Conference on Intelligent Robotics and Applications, ICIRA 2013, held in Busan, South Korea, in September 2013. The 147 revised full papers presented were carefully reviewed and selected from 184 submissions. The papers discuss various topics from intelligent robotics, automation and mechatronics with particular emphasis on technical challenges associated with varied applications such as biomedical application, industrial automation, surveillance and sustainable mobility.

Download or read book Gesture Recognition written by Gilberto Coleman and published by Nova Science Publishers. This book was released on 2018 with total page 0 pages. 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--