Download or read book Real time Immersive Human computer Interaction Based on Tracking and Recognition of Dynamic Hand Gestures written by Gan Lu and published by . This book was released on 2011 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: With fast developing and ever growing use of computer based technologies, human-computer interaction (HCI) plays an increasingly pivotal role. In virtual reality (VR), HCI technologies provide not only a better understanding of three-dimensional shapes and spaces, but also sensory immersion and physical interaction. With the hand based HCI being a key HCI modality for object manipulation and gesture based communication, challenges are presented to provide users a natural, intuitive, effortless, precise, and real-time method for HCI based on dynamic hand gestures, due to the complexity of hand postures formed by multiple joints with high degrees-of-freedom, the speed of hand movements with highly variable trajectories and rapid direction changes, and the precision required for interaction between hands and objects in the virtual world. Presented in this thesis is the design and development of a novel real-time HCI system based on a unique combination of a pair of data gloves based on fibre-optic curvature sensors to acquire finger joint angles, a hybrid tracking system based on inertia and ultrasound to capture hand position and orientation, and a stereoscopic display system to provide an immersive visual feedback. The potential and effectiveness of the proposed system is demonstrated through a number of applications, namely, hand gesture based virtual object manipulation and visualisation, hand gesture based direct sign writing, and hand gesture based finger spelling. For virtual object manipulation and visualisation, the system is shown to allow a user to select, translate, rotate, scale, release and visualise virtual objects (presented using graphics and volume data) in three-dimensional space using natural hand gestures in real-time. For direct sign writing, the system is shown to be able to display immediately the corresponding SignWriting symbols signed by a user using three different signing sequences and a range of complex hand gestures, which consist of various combinations of hand postures (with each finger open, half-bent, closed, adduction and abduction), eight hand orientations in horizontal/vertical plans, three palm facing directions, and various hand movements (which can have eight directions in horizontal/vertical plans, and can be repetitive, straight/curve, clockwise/anti-clockwise). The development includes a special visual interface to give not only a stereoscopic view of hand gestures and movements, but also a structured visual feedback for each stage of the signing sequence. An excellent basis is therefore formed to develop a full HCI based on all human gestures by integrating the proposed system with facial expression and body posture recognition methods. Furthermore, for finger spelling, the system is shown to be able to recognise five vowels signed by two hands using the British Sign Language in real-time.
Download or read book Real Time Immersive Human Computer Interaction written by Gan Lu and published by LAP Lambert Academic Publishing. This book was released on 2012 with total page 196 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presented in this thesis is the design and development of a novel real-time HCI system based on a unique combination of a pair of data gloves based on fibre-optic curvature sensors to acquire finger joint angles, a hybrid tracking system based on inertia and ultrasound sensors to capture hand position and orientation, and a stereoscopic display to provide an immersive visual feedback. The potential and effectiveness of the proposed system is demonstrated through a number of hand gesture based applications, namely, virtual object manipulation and visualisation, direct sign writing, and finger spelling. For virtual object manipulation and visualisation, the system is shown to allow a user to manipulate and visualise virtual objects in 3D space using natural hand gestures in real-time. For direct sign writing, the system is shown to be able to display immediately the corresponding SignWriting symbols signed by a user using a range of complex hand gestures. Furthermore, for finger spelling, the system is shown to be able to recognise five vowels signed by two hands using the British Sign Language in real-time.
Download or read book Human Computer Interaction Using Hand Gestures written by Prashan Premaratne and published by Springer Science & Business Media. This book was released on 2014-03-20 with total page 182 pages. Available in PDF, EPUB and Kindle. Book excerpt: Human computer interaction (HCI) plays a vital role in bridging the 'Digital Divide', bringing people closer to consumer electronics control in the 'lounge'. Keyboards and mouse or remotes do alienate old and new generations alike from control interfaces. Hand Gesture Recognition systems bring hope of connecting people with machines in a natural way. This will lead to consumers being able to use their hands naturally to communicate with any electronic equipment in their 'lounge.' This monograph will include the state of the art hand gesture recognition approaches and how they evolved from their inception. The author would also detail his research in this area for the past 8 years and how the future might turn out to be using HCI. This monograph will serve as a valuable guide for researchers (who would endeavour into) in the world of HCI.
Download or read book Real time Hand Gesture Detection and Recognition for Human Computer Interaction written by Nasser Hasan Abdel-Qader Dardas and published by . This book was released on 2012 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This thesis focuses on bare hand gesture recognition by proposing a new architecture to solve the problem of real-time vision-based hand detection, tracking, and gesture recognition for interaction with an application via hand gestures. The first stage of our system allows detecting and tracking a bare hand in a cluttered background using face subtraction, skin detection and contour comparison. The second stage allows recognizing hand gestures using bag-of-features and multi-class Support Vector Machine (SVM) algorithms. Finally, a grammar has been developed to generate gesture commands for application control. Our hand gesture recognition system consists of two steps: offline training and online testing. In the training stage, after extracting the keypoints for every training image using the Scale Invariance Feature Transform (SIFT), a vector quantization technique will map keypoints from every training image into a unified dimensional histogram vector (bag-of-words) after K-means clustering. This histogram is treated as an input vector for a multi-class SVM to build the classifier. In the testing stage, for every frame captured from a webcam, the hand is detected using my algorithm. Then, the keypoints are extracted for every small image that contains the detected hand posture and fed into the cluster model to map them into a bag-of-words vector, which is fed into the multi-class SVM classifier to recognize the hand gesture. Another hand gesture recognition system was proposed using Principle Components Analysis (PCA). The most eigenvectors and weights of training images are determined. In the testing stage, the hand posture is detected for every frame using my algorithm. Then, the small image that contains the detected hand is projected onto the most eigenvectors of training images to form its test weights. Finally, the minimum Euclidean distance is determined among the test weights and the training weights of each training image to recognize the hand gesture. Two application of gesture-based interaction with a 3D gaming virtual environment were implemented. The exertion videogame makes use of a stationary bicycle as one of the main inputs for game playing. The user can control and direct left-right movement and shooting actions in the game by a set of hand gesture commands, while in the second game, the user can control and direct a helicopter over the city by a set of hand gesture commands.
Download or read book Real Time Vision for Human Computer Interaction written by Branislav Kisacanin and published by Springer Science & Business Media. This book was released on 2005-08-23 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: The need for natural and effective Human-Computer Interaction (HCI) is increasingly important due to the prevalence of computers in human activities. Computer vision and pattern recognition continue to play a dominant role in the HCI realm. However, computer vision methods often fail to become pervasive in the field due to the lack of real-time, robust algorithms, and novel and convincing applications. This state-of-the-art contributed volume is comprised of articles by prominent experts in computer vision, pattern recognition and HCI. It is the first published text to capture the latest research in this rapidly advancing field with exclusive focus on real-time algorithms and practical applications in diverse and numerous industries, and it outlines further challenges in these areas. Real-Time Vision for Human-Computer Interaction is an invaluable reference for HCI researchers in both academia and industry, and a useful supplement for advanced-level courses in HCI and Computer Vision.
Download or read book Real time 2D Static Hand Gesture Recognition and 2D Hand Tracking for Human Computer Interaction written by Pavel Alexandrovich Popov and published by . This book was released on 2020 with total page pages. 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.
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 Novel Cost Measures for Robust Recognition of Dynamic Hand Gestures written by Ameya Kulkarni and published by . This book was released on 2011 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Computer vision aided automatic hand gesture recognition system plays a vital role in real world human computer interaction applications such as sign language recognition, game controls, virtual reality, intelligent home appliances and assistive robotics. In such systems, when input with a video sequence, the challenging task is to locate the gesturing hand (spatial segmentation) and determine when the gesture starts and ends (temporal segmentation). In this thesis, we use a framework which at its principal has a dynamic space time warping (DSTW) algorithm to simultaneously localize gesturing hand, to find an optimal alignment in time domain between query-model sequences and to compute a matching cost (a measure of how well the query sequence matches with the model sequence) for the query-model pair. Within the context of DSTW, the thesis proposes few novel cost measures to improve the performance of the framework for robust recognition of hand gesture with the help of translation and scale invariant feature vectors extracted at each frame of the input video. The performance of the system is evaluated in a real world scene with cluttered background and in presence of multiple moving skin colored distractors in the background.
Download or read book Gesture Recognition written by Qiguang Miao and published by Elsevier. This book was released on 2024-07-26 with total page 225 pages. 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
Download or read book Entertainment Computing written by Ryohei Nakatsu and published by Springer. This book was released on 2013-04-17 with total page 538 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume is the Proceedings of the First International Workshop on Entertainment Computing (IWEC 2002). Entertainment has been taking very important parts in our life by refreshing us and activating our creativity. Recently by the advancement of computers and networks new types of entertainment have been emerging such as video games, entertainment robots, and network games. As these new games have a strong power to change our lives, it is good time for people who work in this area to discuss various aspects of entertainment and to promote entertainment related researches. Based on these considerations, we have organized a first workshop on entertainment computing. This workshop brings together researchers, developers, and practitioners working in the area of entertainment computing. It covers wide range of entertainment computing such as theoretical issues, hardware/software issues, systems, human interfaces, and applications. The particular areas covered by the workshop are: 1. Computers & Games Computer game algorithms, modeling of players, web technologies for networked games, human interface technologies for game applications. 2. Home/Arcade Games and Interactive Movies Video game computer technologies, motion capture technologies, real-time computer graphics technologies, interactive movie systems, story generation for games/movies, human factors of video games.
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 Real time Vision based Hand Tracking and Gesture Recognition written by Qing Chen and published by . This book was released on 2008 with total page 214 pages. Available in PDF, EPUB and Kindle. Book excerpt: An application of gesture-based interaction with a 3D gaming virtual environment is implemented. With this system, the user can navigate the 3D gaming world by driving the avatar car with a set of hand postures. When the user wants to manipulate the virtual objects, he can use a set of hand gestures to select the target traffic sign and open a window to check the information of the correspondent learning object. This application demonstrates the gesture-based interface can achieve an improved interaction, which are more intuitive and flexible for the user.
Download or read book HCI Beyond the GUI written by Philip Kortum and published by Elsevier. This book was released on 2008-06-13 with total page 481 pages. Available in PDF, EPUB and Kindle. Book excerpt: As technology expands and evolves, one-dimensional, graphical user interface (GUI) design becomes increasingly limiting and simplistic. Designers must meet the challenge of developing new and creative interfaces that adapt to meet human needs and technological trends. HCI Beyond the GUI provides designers with this know how by exploring new ways to reach users that involve all of the human senses. Dr. Kortum gathers contributions from leading human factors designers to present a single reference for professionals, researchers, and students. Explores the human factors involved in the design and implementation of the nontraditional interfaces, detailing design strategies, testing methodologies, and implementation techniques Provides an invaluable resource for practitioners who design interfaces for children, gamers and users with accessibility needs Offers extensive case studies, examples and design guidelines
Download or read book Human Computer Interaction Gesture Spotting and Recognition written by Mahmoud Elmezain and published by LAP Lambert Academic Publishing. This book was released on 2014-03 with total page 168 pages. Available in PDF, EPUB and Kindle. Book excerpt: Even though automatic hand gesture recognition technology has been applied to real-world applications with relative success, there are still several problems which need to be addressed for wider applications of Human-Computer Interaction. One of such problems which arise in hand gesture recognition is to spot meaningful gestures from the continuous sequence of the hand motions. Another problem is caused by the fact that there is quite a bit of variability (i.e. in shape, trajectory and duration) in the same gesture even for the same person. Throughout literature, the backward spotting technique is used which first detects the end points of gestures and then tracks back through their optimal paths to discover the start points of gestures. Upon the detection of the start and the end points, in between points trajectory is sent to the recognizer for recognition. So, a time delay is observed between the meaningful gesture spotting and recognition. This time delay is unacceptable for online applications. Given the fact of high variability of corresponding gesture to other gestures, modeling the other gesture is a vital issue to accommodate the infinite number of non-gesture patterns.
Download or read book Color and Illumination Independent Hand Tracking and Gesture Recognition written by and published by . This book was released on 2006 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Recognition of human motion provides hints to understand human activities and gives opportunities to the development of a new human-computer interaction (HCI) interface. Hidden Markov Models (HMMs) are used for visual recognition of complex, structured hand gestures such as the ones found in a sign language, since they have proved their success in recognizing speech and handwriting. In this paper, we introduce a hand gesture recognition system to recognize gestures in real-time. Hand tracking is performed in two different ways. The first method is based on color segmentation and blob generation over the hand region, and the second method uses block matching and particle filtering algorithms to detect the moving hand which makes the system totally color and illumination independent. In both methods, extracted information is used as the input to the HMM based gesture recognizer.
Download or read book Advanced Computing written by Natarajan Meghanathan and published by Springer Science & Business Media. This book was released on 2010-12-14 with total page 511 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume constitutes the third of three parts of the refereed proceedings of the First International Conference on Computer Science and Information Technology, CCSIT 2010, held in Bangalore, India, in January 2011. The 46 revised full papers presented in this volume were carefully reviewed and selected. The papers are organized in topical sections on soft computing, such as AI, Neural Networks, Fuzzy Systems, etc.; distributed and parallel systems and algorithms; security and information assurance; ad hoc and ubiquitous computing; wireless ad hoc networks and sensor networks.
Download or read book Advanced Computing written by Natarajan Meghanathan and published by Springer. This book was released on 2010-12-25 with total page 511 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume constitutes the third of three parts of the refereed proceedings of the First International Conference on Computer Science and Information Technology, CCSIT 2010, held in Bangalore, India, in January 2011. The 46 revised full papers presented in this volume were carefully reviewed and selected. The papers are organized in topical sections on soft computing, such as AI, Neural Networks, Fuzzy Systems, etc.; distributed and parallel systems and algorithms; security and information assurance; ad hoc and ubiquitous computing; wireless ad hoc networks and sensor networks.
