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Author: Yizhang Jiang
Publisher: Frontiers Media SA
ISBN: 2832505171
Category : Science
Languages : en
Pages : 413
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Book Description
Author: Yizhang Jiang
Publisher: Frontiers Media SA
ISBN: 2832505171
Category : Science
Languages : en
Pages : 413
Get Book Here
Book Description
Author: Amit Konar
Publisher: John Wiley & Sons
ISBN: 1118130669
Category : Technology & Engineering
Languages : en
Pages : 580
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Book Description
A timely book containing foundations and current research directions on emotion recognition by facial expression, voice, gesture and biopotential signals This book provides a comprehensive examination of the research methodology of different modalities of emotion recognition. Key topics of discussion include facial expression, voice and biopotential signal-based emotion recognition. Special emphasis is given to feature selection, feature reduction, classifier design and multi-modal fusion to improve performance of emotion-classifiers. Written by several experts, the book includes several tools and techniques, including dynamic Bayesian networks, neural nets, hidden Markov model, rough sets, type-2 fuzzy sets, support vector machines and their applications in emotion recognition by different modalities. The book ends with a discussion on emotion recognition in automotive fields to determine stress and anger of the drivers, responsible for degradation of their performance and driving-ability. There is an increasing demand of emotion recognition in diverse fields, including psycho-therapy, bio-medicine and security in government, public and private agencies. The importance of emotion recognition has been given priority by industries including Hewlett Packard in the design and development of the next generation human-computer interface (HCI) systems. Emotion Recognition: A Pattern Analysis Approach would be of great interest to researchers, graduate students and practitioners, as the book Offers both foundations and advances on emotion recognition in a single volume Provides a thorough and insightful introduction to the subject by utilizing computational tools of diverse domains Inspires young researchers to prepare themselves for their own research Demonstrates direction of future research through new technologies, such as Microsoft Kinect, EEG systems etc.
Author: Richard Yonck
Publisher: Arcade
ISBN: 195069111X
Category : Computers
Languages : en
Pages : 338
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Book Description
For Readers of Ray Kurzweil and Michio Kaku, a New Look at the Cutting Edge of Artificial Intelligence Imagine a robotic stuffed animal that can read and respond to a child’s emotional state, a commercial that can recognize and change based on a customer’s facial expression, or a company that can actually create feelings as though a person were experiencing them naturally. Heart of the Machine explores the next giant step in the relationship between humans and technology: the ability of computers to recognize, respond to, and even replicate emotions. Computers have long been integral to our lives, and their advances continue at an exponential rate. Many believe that artificial intelligence equal or superior to human intelligence will happen in the not-too-distance future; some even think machine consciousness will follow. Futurist Richard Yonck argues that emotion, the first, most basic, and most natural form of communication, is at the heart of how we will soon work with and use computers. Instilling emotions into computers is the next leap in our centuries-old obsession with creating machines that replicate humans. But for every benefit this progress may bring to our lives, there is a possible pitfall. Emotion recognition could lead to advanced surveillance, and the same technology that can manipulate our feelings could become a method of mass control. And, as shown in movies like Her and Ex Machina, our society already holds a deep-seated anxiety about what might happen if machines could actually feel and break free from our control. Heart of the Machine is an exploration of the new and inevitable ways in which mankind and technology will interact. The paperback edition has a new foreword by Rana el Kaliouby, PhD, a pioneer in artificial emotional intelligence, as well as the cofounder and CEO of Affectiva, the acclaimed AI startup spun off from the MIT Media Lab.
Author: Sidney D ́Mello
Publisher: Springer
ISBN: 3642245714
Category : Computers
Languages : en
Pages : 639
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Book Description
The two-volume set LNCS 6974 and LNCS 6975 constitutes the refereed proceedings of the Fourth International Conference on Affective Computing and Intelligent Interaction, ACII 2011, held in Memphis,TN, USA, in October 2011. The 135 papers in this two volume set presented together with 3 invited talks were carefully reviewed and selected from 196 submissions. The papers are organized in topical sections on recognition and synthesis of human affect, affect-sensitive applications, methodological issues in affective computing, affective and social robotics, affective and behavioral interfaces, relevant insights from psychology, affective databases, Evaluation and annotation tools.
Author:
Publisher: BoD – Books on Demand
ISBN: 1839625228
Category : Medical
Languages : en
Pages : 200
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Book Description
Brain-computer interfacing (BCI) with the use of advanced artificial intelligence identification is a rapidly growing new technology that allows a silently commanding brain to manipulate devices ranging from smartphones to advanced articulated robotic arms when physical control is not possible. BCI can be viewed as a collaboration between the brain and a device via the direct passage of electrical signals from neurons to an external system. The book provides a comprehensive summary of conventional and novel methods for processing brain signals. The chapters cover a range of topics including noninvasive and invasive signal acquisition, signal processing methods, deep learning approaches, and implementation of BCI in experimental problems.
Author: Dajiang Zhu
Publisher: Frontiers Media SA
ISBN: 2832547575
Category : Science
Languages : en
Pages : 230
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Book Description
Brain mapping is dedicated to using brain imaging techniques such as MRI, CT, PET, EEG, and fNIRS to understand the brain anatomy, structure, and function, and how it contributes to cognition, behavior, and deficits of brain diseases. Recently, machine learning is in a stage of rapid development, and various new technologies are continuously introduced into the field, from traditional approaches
Author: Xiang Zhang
Publisher: World Scientific
ISBN: 1786349604
Category : Computers
Languages : en
Pages : 294
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Book Description
Deep Learning for EEG-Based Brain-Computer Interfaces is an exciting book that describes how emerging deep learning improves the future development of Brain-Computer Interfaces (BCI) in terms of representations, algorithms and applications. BCI bridges humanity's neural world and the physical world by decoding an individuals' brain signals into commands recognizable by computer devices.This book presents a highly comprehensive summary of commonly-used brain signals; a systematic introduction of around 12 subcategories of deep learning models; a mind-expanding summary of 200+ state-of-the-art studies adopting deep learning in BCI areas; an overview of a number of BCI applications and how deep learning contributes, along with 31 public BCI data sets. The authors also introduce a set of novel deep learning algorithms aimed at current BCI challenges such as robust representation learning, cross-scenario classification, and semi-supervised learning. Various real-world deep learning-based BCI applications are proposed and some prototypes are presented. The work contained within proposes effective and efficient models which will provide inspiration for people in academia and industry who work on BCI.Related Link(s)
Author: Ana Fred
Publisher: Springer Science & Business Media
ISBN: 3642117201
Category : Technology & Engineering
Languages : en
Pages : 416
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Book Description
This book contains the best papers of the Second International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2009), organized by the Institute for Systems and Technologies of Information Control and Communi- tion (INSTICC), technically co-sponsored by the IEEE Engineering in Medicine and Biology Society (EMB), IEEE Circuits and Systems Society (CAS) and the Workflow Management Coalition (WfMC), in cooperation with AAAI and ACM SIGART. The purpose of the International Joint Conference on Biomedical Engineering S- tems and Technologies is to bring together researchers and practitioners, including engineers, biologists, health professionals and informatics/computer scientists, int- ested in both theoretical advances and applications of information systems, artificial intelligence, signal processing, electronics and other engineering tools in knowledge areas related to biology and medicine. BIOSTEC is composed of three co-located conferences; each specializes in one of the aforementioned main knowledge areas, namely: • BIODEVICES (International Conference on Biomedical Electronics and - vices) focuses on aspects related to electronics and mechanical engineering, - pecially equipment and materials inspired from biological systems and/or - dressing biological requirements. Monitoring devices, instrumentation sensors and systems, biorobotics, micro-nanotechnologies and biomaterials are some of the technologies addressed at this conference.
Author: Yizhang Jiang
Publisher: Frontiers Media SA
ISBN: 2889714683
Category : Science
Languages : en
Pages : 239
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Book Description
Author: Kumar, Nitendra
Publisher: IGI Global
ISBN:
Category : Computers
Languages : en
Pages : 317
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Book Description
Industry 5.0 is poised to redefine the collaboration between humans and machines, marking a crucial moment in technological evolution. However, as we stand at the threshold of this transformative era, a critical challenge emerges the integration of emotional intelligence into the industrial landscape. Organizations grapple with the urgent need to understand, strategize, and ethically deploy artificial emotional intelligence (AEI) in Industry 5.0. This pivotal juncture calls for a comprehensive resource that explores the theoretical foundations but offers practical insights into the applications, challenges, and responsible deployment of AEI. The absence of a cohesive guide addressing the intricacies of AEI in Industry 5.0 leaves a void in academic scholarship. Organizations, researchers, and policymakers lack a singular, authoritative source to navigate the complexities of emotional intelligence integration, impacting Industry 5.0 strategies, sustainability plans, and customer services. The challenge lies in managing the delicate balance between human and machine collaboration while ensuring ethical considerations are at the forefront of AI deployment. As the demand for emotional intelligence in the industrial landscape intensifies, the need for a unifying resource becomes increasingly apparent.
