الصفحة 1
الصفحة 1
Mute people aiding application
Communication is an essential tool for human survival. It is a fundamental and effective method of sharing thoughts, needs, feelings, and opinions. However, a large portion of the world's population lacks the ability to communicate with others. Such as the ones suffering from hearing loss, speech disability, or even both. Those disabilities have a significant impact on their lives in terms of work and relationships. The majority of these people are sometimes unable to support themselves financially due to the lack of job opportunities. Given these difficulties, we have decided to develop an application to help them overcome the obstacles they may encounter in their daily lives. After consulting with two deaf and mute people we customized an application that works in two ways. One of which is to translate their sign language in real time by using mobile camera and recognizing hand motion. The other works by converting text-to-voice, and accurately expressing the user’s emotions with the help of the facial emotion recognition.
Multimedia Content Analysis and Mining ; International Workshop, MCAM 2007, Weihai, China, June 30-July 1, 2007, Proceedings
The workshop gives a snapshot of the current wor- wide research in multimedia analysis. Through recent advances in computing, networking, and data storage, multimedia will create new interesting technical possibilities in a wide range of ?elds, such as entertainment, commerce, science, medicine, and public safety.
Motion in Games ; 1st International Workshop, MIG 2008, Utrecht, The Netherlands, June 14-17, 2008. Revised Papers
This book constitutes the thoroughly refereed post-workshop proceedings of the First International Workshop on Motion in Games, held in Utrecht, The Netherlands, during June 14-17, 2008, in collaboration with the NLGD Festival of Games.The 24 revised papers presented during the workshop cover topics on crowd simulation; virtual humans; motion synthesis; interfaces; navigation and steering; and facial and behavioral animation.
Modeling Communication with Robots and Virtual Humans ; Second ZiF Research Group International Workshop on Embodied Communication in Humans and Machines, Bielefeld, Germany, April 5-8, 2006, Revised Selected Papers
The 17 articles in this state-of-the-art survey address artificial intelligence research on communicative agents and also provide an interdisciplinary perspective from linguistics, behavioral research, theoretical biology, philosophy, communication psychology, and computational neuroscience. The topics include studies on human multimodal communication; the modeling of feedback signals, facial expression, eye contact, and deception; the recognition and comprehension of hand gestures and head movements; communication interfaces for humanoid robots; the evolution of cognition and language; emotion and social appraisal in nonverbal communication; dialogue models and methodologies; theory of mind and intentionality; complex systems, dynamic field theory, and connectionist modeling.
Intercultural Collaboration ; 1st International Workshop, IWIC 2007 Kyoto, Japan, January 25-26, 2007 Invited and Selected Papers
This book presents 29 revised invited and selected lectures given by top-researchers at the First International Workshop on Intercultural Collaboration, IWIC 2007, held in Kyoto, Japan in January 2007.
Hearing faces
Our project aims to aid deaf-mute people by tracking hand movements of the deaf-mute person for word level American Sign Language using WLASL model that include 2D CNN -3D CNN and RNN networks training on WLASL large video dataset, then generating the corresponding text and analyzing the person's facial gestures to generate information related to the tone of voice that is most appropriate to the person's age, gender, and race through MTCNN network algorithm that training on generated dataset by us depending on blending VOXCELEB dataset and VGGFACE dataset .
Handbook on Craniofacial Superimposition : The MEPROCS Project
This book is the first comprehensive guide to a new soft computing technique which is used in complex forensic cases. The chapters include detailed technical and practical overviews, and discussions about the latest tools, open problems and ethical and legal issues involved. The book will be of interest to researchers and practitioners in forensic medicine and computational intelligence.
Face Biometrics for Personal Identification : Multi-Sensory Multi-Modal Systems
This book provides an ample coverage of theoretical and experimental state-of-the-art work as well as new trends and directions in the biometrics field. It offers students and software engineers a thorough understanding of how some core low-level building blocks of a multi-biometric system are implemented. While this book covers a range of biometric traits including facial geometry, 3D ear form, fingerprints, vein structure, voice, and gait, its main emphasis is placed on multi-sensory and multi-modal face biometrics algorithms and systems. "Multi-sensory" refers to combining data from two or more biometric sensors, such as synchronized reflectance-based and temperature-based face images. "Multi-modal" biometrics means fusing two or more biometric modalities, like face images and voice timber. The first part addresses new and emerging face biometrics. Emphasis is placed on biometric systems where single sensor and single modality are employed in challenging imaging conditions. The second part on multi-sensory face biometrics deals with the personal identification task in challenging variable illuminations and outdoor operating scenarios by employing visible and thermal sensors. The third part of the book focuses on multi-modal face biometrics by integrating voice, ear, and gait modalities with facial data. The last part presents generic chapters on multi-biometrics fusion methodologies and performance prediction techniques.
Explainable artificial intelligence in troke from the clinical, rehabilitation and nursing perspectives
As we know, strokes are one of the world's leading causes of death, and the cruel aspect of a stroke is that it leaves people with severe functional disability and/or cognitive impairment. Strokes have a significant impact on economies worldwide, as it is estimated that about 10% of the male population and 8% of the female population are affected by them. Such people need personal help in their everyday life and must be materially supported by social services. With the advancement of medicine, artificial intelligence, and new technologies have been developing rapidly and are gradually applied in diseases of the nervous system, increasingly helping diagnosis, treatment, rehabilitation, and prognosis of disease.
Deepfake detection
The rise of large language models (LLMs) and the increasing sophistication of deepfake images have made detecting synthetic content a pressing challenge. Several approaches have been proposed to tackle this problem, including statistical analysis, and machine learning algorithms. In this project, A novel zero-shot approach is proposed that utilizes the power of LLMs to detect fake text. The pre-trained LLM is fine-tuned to enhance its ability to differentiate real and fake text. The approach uses the LLM to detect text by analyzing the log probabilities of the text. For detecting fake images, computer vision algorithms and neural networks are used to analyze facial features. The facial region is cropped and preprocessed and the neural network identifies patterns indicative of synthetic content.
Deepfake
The technology used to create such digital content has quickly become accessible to the masses, such as “DEEPFAKE.” Deep fakes refer to manipulated videos, or other digital representations produced by sophisticated artificial intelligence, that yields to synthesize a sequence of face images and voices of characters corresponding to their identities, such as voice tone, facial expression, with a good lip synchronization. Therefore, this study is about developing real-time video generation software, which generates a target video from a single input image. Several methods and algorithms have been applied to detect, analyze personalize facial expression, voice and natural head poses to present a life-like image instead of a low quality one.
Deep Learning-Based Face Analytics
Provides an overview of different deep learning-based methods for face recognition and related problems. Specifically, the authors present methods based on autoencoders, restricted Boltzmann machines, and deep convolutional neural networks for face detection, localization, tracking, recognition, etc. The authors also discuss merits and drawbacks of available approaches and identifies promising avenues of research in this rapidly evolving field.
Data-Driven 3D Facial Animation
Data-Driven 3D Facial Animation: systematically describes the emerging data-driven techniques developed over the last ten years or so. Although data-driven 3D facial animation is used more and more in animation practice, to date there have been very few books that specifically address the techniques involved. Comprehensive in scope, the book covers not only traditional lip-sync (speech animation), but also expressive facial motion, facial gestures, facial modeling, editing and sketching, and facial animation transferring. It provides an up-to-date reference source for academic research and for professionals working in the facial animation field.
Computer Vision in Human-Computer Interaction ; Vol.3979 ; ECCV 2006 Workshop on HCI, Graz, Austria, May 13, 2006, Proceedings
This volume presents the proceedings of the HCI 2006 Workshop, held in conjunction with ECCV 2006 (European Conference on Computer Vision) in Graz, Austria. The goal of this workshop was to bring together researchers from the field of computer vision whose work is related to human–computer interaction.
Computer vision in human-computer interaction ; Vol. 3766
Human-Computer Interaction (HCI) lies at the crossroads of many scienti?c areas including arti?cial intelligence, computer vision, face recognition, motion tracking, etc. In order for HCI systems to interact seamlessly with people, they need to understand their environment through vision and auditory input. Mo- over, HCI systems should learn how to adaptively respond depending on the situation. The goal of this workshop was to bring together researchers from the ?eld of computer vision whose work is related to human-computer interaction. The selected articles for this workshop address a wide range of theoretical and - plication issues in human-computer interaction ranging from human-robot - teraction, gesture recognition, and body tracking, to facial features analysis and human-computer interaction systems.
Machine Learning in Computer Vision
The goal of this book is to address the use of several important machine learning techniques into computer vision applications. An innovative combination of computer vision and machine learning techniques has the promise of advancing the field of computer vision, which contributes to better understanding of complex real-world applications. The effective usage of machine learning technology in real-world computer vision problems requires understanding the domain of application, abstraction of a learning problem from a given computer vision task, and the selection of appropriate representations for the learnable (input) and learned (internal) entities of the system. In this book, we address all these important aspects from a new perspective: that the key element in the current computer revolution is the use of machine learning to capture the variations in visual appearance, rather than having the designer of the model accomplish this. As a bonus, models learned from large datasets are likely to be more robust and more realistic than the brittle all-design models.
Bioinorganic electrochemistry
Interfacial electrochemistry of redox metalloproteins and DNA-based molecules is presently moving towards new levels of structural and functional resolution. This is the result of powerful interdisciplinary efforts. Underlying fundamentals of biological electron and proton transfer is increasingly well understood although with outstanding unresolved issues. Comprehensive bioelectrochemical studies have mapped the working environments for bioelectrochemical electron transfer, supported by the availability of mutant proteins and other powerful biotechnology. Introduction of surface spectroscopy, the scanning probe microscopies, and other solid state and surface physics methodology has finally offered exciting new fundamental and technological openings in interfacial bioelectrochemistry of both redox proteins and DNA-based molecules.
Artificial intelligence and national security
Analyses the implications of the technical, legal, ethical and privacy challenges as well as challenges for human rights and civil liberties regarding Artificial Intelligence (AI) and National Security. It also offers solutions that can be adopted to mitigate or eradicate these challenges wherever possible. As a general-purpose, dual-use technology, AI can be deployed for both good and evil. The use of AI is increasingly becoming of paramount importance to the governments mission to keep their nations safe. However, the design, development and use of AI for national security poses a wide range of legal, ethical, moral and privacy challenges. This book explores national security uses for Artificial Intelligence (AI) in Western Democracies and its malicious use. This book also investigates the legal, political, ethical, moral, privacy and human rights implications of the national security uses of AI in the aforementioned democracies. It illustrates how AI for national security purposes could threaten most individual fundamental rights, and how the use of AI in digital policing could undermine user human rights and privacy.
Artificial intelligence and data mining approaches in security frameworks
Offers solutions to the problems of security, outlining the concepts behind allowing computers to learn from experience and understand the world in terms of a hierarchy of concepts, with each concept defined through its relation to simpler concepts. provides state of the art approaches of artificial intelligence and data mining in these areas. It includes areas of detection, prediction, as well as future framework identification, development, building service systems and analytical aspects. In all these topics, applications of AI and data mining, such as artificial neural networks, fuzzy logic, genetic algorithm and hybrid mechanisms, are explained and explored. This book is aimed at the modeling and performance prediction of efficient security framework systems, bringing to light a new dimension in the theory and practice. This groundbreaking new volume presents these topics and trends, bridging the research gap on AI and data mining to enable wide-scale implementation. Whether for the veteran engineer or the student, this is a must-have for any library. This groundbreaking new volume: Clarifies the understanding of certain key mechanisms of technology helpful in the use of artificial intelligence and data mining in security frameworks ; Covers practical approaches to the problems engineers face in working in this field, focusing on the applications used every day ; Contains numerous examples, offering critical solutions to engineers and scientists ; Presents these new applications of AI and data mining that are of prime importance to human civilization as a whole
Artifical intelligence for human computing ; ICMI 2006 and IJCAI 2007 International Workshops, Banff, Canada, November 3, 2006 Hyderabad, India, January 6, 2007 Revised Selceted Papers
This book contains the thoroughly refereed post-proceedings of two events discussing AI for Human Computing.It presented a vision of the future of computing technology in which AI, in particular machine learning and agent technology, plays an essential role.
