Multimodal Detection of Stress

Multimodal Detection of Stress PDF Author: Jonathan Aigrain
Publisher:
ISBN:
Category :
Languages : en
Pages : 0

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Book Description
It is now widely accepted that stress plays an important role in modern societies. It impacts the body and the mind at several levels and the association between stress and disease has been observed in several studies. However, there is no consensual definition of stress yet, and therefore there is no consensual way of assessing it either. Thus, although the quality of assessment is a key factor to build robust stress detection solutions, researchers have to choose among a wide variety of assessment strategies. This heterogeneity impacts the validity of comparing solutions among them. In this thesis, we evaluate the impact of several assessment strategies for stress detection. We first review how different fields of research define and assess stress. Then, we describe how we collected stress data along with multiple assessments. We also study the association between these assessments. We present the behavioural and physiological features that we extracted for our experiments. Finally, we present the results we obtained regarding the impact of assessment strategies on 1) data normalization, 2) feature classification performance and 3) on the design of machine learning algorithms. Overall, we argue that one has to take a global and comprehensive approach to design stress detection solutions.

Multimodal Detection of Stress

Multimodal Detection of Stress PDF Author: Jonathan Aigrain
Publisher:
ISBN:
Category :
Languages : en
Pages : 0

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Book Description
It is now widely accepted that stress plays an important role in modern societies. It impacts the body and the mind at several levels and the association between stress and disease has been observed in several studies. However, there is no consensual definition of stress yet, and therefore there is no consensual way of assessing it either. Thus, although the quality of assessment is a key factor to build robust stress detection solutions, researchers have to choose among a wide variety of assessment strategies. This heterogeneity impacts the validity of comparing solutions among them. In this thesis, we evaluate the impact of several assessment strategies for stress detection. We first review how different fields of research define and assess stress. Then, we describe how we collected stress data along with multiple assessments. We also study the association between these assessments. We present the behavioural and physiological features that we extracted for our experiments. Finally, we present the results we obtained regarding the impact of assessment strategies on 1) data normalization, 2) feature classification performance and 3) on the design of machine learning algorithms. Overall, we argue that one has to take a global and comprehensive approach to design stress detection solutions.

Stress Detection Based On Multi Modal Data

Stress Detection Based On Multi Modal Data PDF Author: Dr. A Sharada
Publisher: Archers & Elevators Publishing House
ISBN: 8119385489
Category : Antiques & Collectibles
Languages : en
Pages : 90

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Book Description


Detection of Feigned Posttraumatic Stress Disorder

Detection of Feigned Posttraumatic Stress Disorder PDF Author: David E. Eakin
Publisher:
ISBN:
Category : Malingering
Languages : en
Pages : 220

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Book Description


Mobile Computing, Applications, and Services

Mobile Computing, Applications, and Services PDF Author: Martin Griss
Publisher: Springer
ISBN: 9783642293351
Category : Computers
Languages : en
Pages : 0

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Book Description
This book constitutes the thoroughly refereed post-conference proceedings of the Second International Conference on Mobile Computing, Applications, and Services (MobiCASE 2010) held in Santa Clara, CA, USA, during October 25-28, 2010. The 15 revised full papers presented were carefully selected from numerous submissions. Conference papers are organized in six technical sessions, covering the topics of mobile Web and mash-ups, software engineering and development tools, cross-layer approaches, location-based services, mobile healthcare, and mobile social networking. Furthermore the volume includes two workshops on mobile computing and mobile security as well as four poster papers.

CONVR 2023 - Proceedings of the 23rd International Conference on Construction Applications of Virtual Reality

CONVR 2023 - Proceedings of the 23rd International Conference on Construction Applications of Virtual Reality PDF Author: Pietro Capone
Publisher: Firenze University Press
ISBN:
Category : Architecture
Languages : en
Pages : 1279

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Book Description
Within the overarching theme of “Managing the Digital Transformation of Construction Industry” the 23rd International Conference on Construction Applications of Virtual Reality (CONVR 2023) presented 123 high-quality contributions on the topics of: Virtual and Augmented Reality (VR/AR), Building Information Modeling (BIM), Simulation and Automation, Computer Vision, Data Science, Artificial Intelligence, Linked Data, Semantic Web, Blockchain, Digital Twins, Health & Safety and Construction site management, Green buildings, Occupant-centric design and operation, Internet of Everything. The editors trust that this publication can stimulate and inspire academics, scholars and industry experts in the field, driving innovation, growth and global collaboration among researchers and stakeholders.

Emotion and Stress Recognition Related Sensors and Machine Learning Technologies

Emotion and Stress Recognition Related Sensors and Machine Learning Technologies PDF Author: Kyandoghere Kyamakya
Publisher: MDPI
ISBN: 3036511385
Category : Technology & Engineering
Languages : en
Pages : 550

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Book Description
This book includes impactful chapters which present scientific concepts, frameworks, architectures and ideas on sensing technologies and machine learning techniques. These are relevant in tackling the following challenges: (i) the field readiness and use of intrusive sensor systems and devices for capturing biosignals, including EEG sensor systems, ECG sensor systems and electrodermal activity sensor systems; (ii) the quality assessment and management of sensor data; (iii) data preprocessing, noise filtering and calibration concepts for biosignals; (iv) the field readiness and use of nonintrusive sensor technologies, including visual sensors, acoustic sensors, vibration sensors and piezoelectric sensors; (v) emotion recognition using mobile phones and smartwatches; (vi) body area sensor networks for emotion and stress studies; (vii) the use of experimental datasets in emotion recognition, including dataset generation principles and concepts, quality insurance and emotion elicitation material and concepts; (viii) machine learning techniques for robust emotion recognition, including graphical models, neural network methods, deep learning methods, statistical learning and multivariate empirical mode decomposition; (ix) subject-independent emotion and stress recognition concepts and systems, including facial expression-based systems, speech-based systems, EEG-based systems, ECG-based systems, electrodermal activity-based systems, multimodal recognition systems and sensor fusion concepts and (x) emotion and stress estimation and forecasting from a nonlinear dynamical system perspective. This book, emerging from the Special Issue of the Sensors journal on “Emotion and Stress Recognition Related Sensors and Machine Learning Technologies” emerges as a result of the crucial need for massive deployment of intelligent sociotechnical systems. Such technologies are being applied in assistive systems in different domains and parts of the world to address challenges that could not be addressed without the advances made in these technologies.

Big Data

Big Data PDF Author:
Publisher:
ISBN: 9789811607066
Category : Big data
Languages : en
Pages : 261

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Book Description
This book constitutes the proceedings of the 8th CCF Conference on Big Data, BigData 2020, held in Chongqing, China, in October 2020. The 16 full papers presented in this volume were carefully reviewed and selected from 65 submissions. They present recent research on theoretical and technical aspects on big data, as well as on digital economy demands in big data applications.

Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction

Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction PDF Author: Friedhelm Schwenker
Publisher: Springer
ISBN: 3642370810
Category : Computers
Languages : en
Pages : 139

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Book Description
This book constitutes the thoroughly refereed post-workshop proceedings of the First IAPR TC3 Workshop on Pattern Recognition of Social Signals in Human-Computer-Interaction (MPRSS2012), held in Tsukuba, Japan in November 2012, in collaboration with the NLGD Festival of Games. The 21 revised papers presented during the workshop cover topics on facial expression recognition, audiovisual emotion recognition, multimodal Information fusion architectures, learning from unlabeled and partially labeled data, learning of time series, companion technologies and robotics.

Multimodal Corpora

Multimodal Corpora PDF Author: Michael Kipp
Publisher: Springer Science & Business Media
ISBN: 3642047920
Category : Computers
Languages : en
Pages : 231

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Book Description
Based on the International Workshop on "Multimodal Corpora: From Models of Natural Interaction to Systems and Applications", this expanded collection presents a comprehensive review of the current research in the field.

Advances and Innovations in Systems, Computing Sciences and Software Engineering

Advances and Innovations in Systems, Computing Sciences and Software Engineering PDF Author: Khaled Elleithy
Publisher: Springer Science & Business Media
ISBN: 1402062648
Category : Technology & Engineering
Languages : en
Pages : 569

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Book Description
This book includes a set of rigorously reviewed world-class manuscripts addressing and detailing state-of-the-art research projects in the areas of Computing Sciences, Software Engineering and Systems. The book presents selected papers from the conference proceedings of the International Conference on Systems, Computing Sciences and Software Engineering (SCSS 2006). All aspects of the conference were managed on-line.