Human Computer Interaction Using Hand Gestures

Human computer interaction (HCI) plays a vital role in bridging the 'Digital Divide', bringing people closer to consumer electronics control in the 'lounge'.

Author: Prashan Premaratne

Publisher: Springer Science & Business Media

ISBN: 9789814585699

Category: Technology & Engineering

Page: 174

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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.

Real time Immersive Human computer Interaction Based on Tracking and Recognition of Dynamic Hand Gestures

With fast developing and ever growing use of computer based technologies, human-computer interaction (HCI) plays an increasingly pivotal role.

Author: Gan Lu

Publisher:

ISBN: OCLC:784569244

Category:

Page:

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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.

Human Computer Interaction Interaction Modalities and Techniques

Finally, we discuss the result of evaluation and our contributions Keywords: NUI, Human Computer Interaction, Finger Gesture Recognition, Finger Identification. 1 Introduction The interaction using hand gestures is a popular field in ...

Author: Masaaki Kurosu

Publisher: Springer

ISBN: 9783642393303

Category: Computers

Page: 768

View: 980

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The five-volume set LNCS 8004--8008 constitutes the refereed proceedings of the 15th International Conference on Human-Computer Interaction, HCII 2013, held in Las Vegas, NV, USA in July 2013. The total of 1666 papers and 303 posters presented at the HCII 2013 conferences was carefully reviewed and selected from 5210 submissions. These papers address the latest research and development efforts and highlight the human aspects of design and use of computing systems. The papers accepted for presentation thoroughly cover the entire field of human-computer interaction, addressing major advances in knowledge and effective use of computers in a variety of application areas. This volume contains papers in the thematic area of human-computer interaction, addressing the following major topics: speech, natural language and auditory interfaces; gesture and eye-gaze based Interaction; touch-based interaction; haptic interaction; graphical user interfaces and visualisation.

Real time Hand Gesture Detection and Recognition for Human Computer Interaction

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.

Author: Nasser Hasan Abdel-Qader Dardas

Publisher:

ISBN: OCLC:871829556

Category: Gesture

Page:

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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.

Gesture Based Communication in Human Computer Interaction

For example, the DG Infor- tion Society of the European Commission (www.cordis.lu/ist) supports several initiatives, such as the “Disappearing Computer” and “Presence” EU-IST FET (Future and Emerging Technologies), the IST program ...

Author: Antonio Camurri

Publisher: Springer

ISBN: 9783540245988

Category: Computers

Page: 560

View: 794

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Research on the multifaceted aspects of modeling, analysis, and synthesis of - man gesture is receiving growing interest from both the academic and industrial communities. On one hand, recent scienti?c developments on cognition, on - fect/emotion, on multimodal interfaces, and on multimedia have opened new perspectives on the integration of more sophisticated models of gesture in c- putersystems.Ontheotherhand,theconsolidationofnewtechnologiesenabling “disappearing” computers and (multimodal) interfaces to be integrated into the natural environments of users are making it realistic to consider tackling the complex meaning and subtleties of human gesture in multimedia systems, - abling a deeper, user-centered, enhanced physical participation and experience in the human-machine interaction process. The research programs supported by the European Commission and s- eral national institutions and governments individuated in recent years strategic ?elds strictly concerned with gesture research. For example, the DG Infor- tion Society of the European Commission (www.cordis.lu/ist) supports several initiatives, such as the “Disappearing Computer” and “Presence” EU-IST FET (Future and Emerging Technologies), the IST program “Interfaces & Enhanced Audio-Visual Services” (see for example the project MEGA, Multisensory - pressive Gesture Applications, www.megaproject.org), and the IST strategic - jective “Multimodal Interfaces.” Several EC projects and other funded research are represented in the chapters of this book. Awiderangeofapplicationscanbene?tfromadvancesinresearchongesture, from consolidated areas such as surveillance to new or emerging ?elds such as therapy and rehabilitation, home consumer goods, entertainment, and aud- visual, cultural and artistic applications, just to mention only a few of them.

Development of a Human Computer Interface Based on Hand Gestures

This work is about research in human-computer interaction field.

Author: Luca Piccinelli

Publisher: LAP Lambert Academic Publishing

ISBN: 3845428481

Category:

Page: 116

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This work is about research in human-computer interaction field. Using state of art methods and proposing new, the target is to develop an interfacing system that would grant to the user the possibility to interact with the computer by performing gestures with his hands without touching any device or wearing any kind of marker.Gestures are intended both as hands configuration or trajectories.The recognition of gestures is performed out by the software, analysing a video stream captured with a standard webcam and matching data with previously acquired models.

Real Time Vision for Human Computer Interaction

Contributions to this volume address specific topics such as: Real-Time Algorithms: from Signal Processing to Computer Vision Recognition of Isolated Fingerspelling Gestures Using Depth Edges Appearance-Based Real-Time Understanding of ...

Author: Branislav Kisacanin

Publisher: Springer Science & Business Media

ISBN: 0387276971

Category: Computers

Page: 301

View: 767

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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.

HCI International 2019 Late Breaking Papers

... realitybased human-computer interaction applications of gesture-based interaction. Fig. 2. (a) Kinematic skeleton using convolutional neural networks for localizing the hand and regressing 3D joint locations is developed in [7].

Author: Constantine Stephanidis

Publisher: Springer Nature

ISBN: 9783030300333

Category: Computers

Page: 612

View: 752

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This year the 21st International Conference on Human-Computer Interaction, HCII 2019, which was held in Orlando, Florida, USA, in July 2019, introduced the additional option of "late-breaking work", which applied both for papers and posters with the corresponding volumes of the proceedings. The 47 late-breaking papers included in this volume were published after the conference has taken place. They were organized in the following topical sections: user experience design and evaluation; information, visualization, and decision making; virtual and augmented reality; learning and games; human and task models in HCI; and design and user experience case studies.

Gesture and Sign Languages in Human Computer Interaction

This book constitutes the thoroughly refereed post-proceedings of the International Workshop on Gesture and Sign Languages in Human-Computer Interaction, GW 2001, held in London, UK, in April 2001.

Author: Ipke Wachsmuth

Publisher: Springer

ISBN: 9783540478737

Category: Computers

Page: 332

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This book constitutes the thoroughly refereed post-proceedings of the International Workshop on Gesture and Sign Languages in Human-Computer Interaction, GW 2001, held in London, UK, in April 2001. The 25 revised full papers and 8 short papers were carefully reviewed and selected for inclusion in the post-proceedings. The papers are organized in topical sections on gesture recognition, recognition of sign languages, nature and notations of sign languages, gesture and sign language synthesis, gestural action and interaction, and applications based on gesture control.

Human Computer Interaction

Vladimir I. Pavlovic, R.Sharma, T.S.Huang, "Visual Interpretation of Hand Gestures for Human- Computer Interaction: A Review," IEEE PAMI, Vol.19, No.7, July, pp.677-695, 1997. 4. Dong Shihai, Wang Jian, Dai Guozhong.

Author: Julie Jacko

Publisher: CRC Press

ISBN: 9780805849318

Category: Technology & Engineering

Page: 1480

View: 665

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This is the second volume in the HCI International Conference Proceedings 2003. See following arrangement for details.