Normal view MARC view ISBD view

Physiological Computing Systems [electronic resource] : First International Conference, PhyCS 2014, Lisbon, Portugal, January 7-9, 2014, Revised Selected Papers / edited by Hugo Pl�acido da Silva, Andreas Holzinger, Stephen Fairclough, Dennis Majoe.

Contributor(s): da Silva, Hugo Pl�acido [editor.] | Holzinger, Andreas [editor.] | Fairclough, Stephen [editor.] | Majoe, Dennis [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Lecture Notes in Computer Science: 8908Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2014Description: XIV, 171 p. 57 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783662456866.Subject(s): Computer science | Health informatics | Special purpose computers | Database management | User interfaces (Computer systems) | Computer Science | Health Informatics | Special Purpose and Application-Based Systems | User Interfaces and Human Computer Interaction | Database ManagementAdditional physical formats: Printed edition:: No titleDDC classification: 502.85 Online resources: Click here to access online
Contents:
Methodologies and Methods -- Wavelet Lifting over Information-Based EEG Graphs for Motor Imagery Data Classification -- Extracting Emotions and Communication Styles from Prosody -- Multiresolution Feature Extraction During Psychophysiological Inference: Addressing Signals Asynchronicity -- Devices -- Paper-Based Inkjet Electrodes: Experimental Study for ECG Applications -- An EOG-Based Automatic Sleep Scoring System and Its Related Application in Sleep Environmental Control -- Applications -- Upper Body Joint Angle Measurements for Physical Rehabilitation Using Visual Feedback -- Online Classifier Adaptation for the Detection of P300 Target Recognition Processes in a Complex Teleoperation Scenario -- Impact on Biker Effort of Electric Bicycle Utilization: Results from On-Road Monitoring in Lisbon, Portugal -- Human Factors -- Learning Effective Models of Emotions from Physiological Signals: The Seven Principles -- A Generic Effort-Based Behavior Description for User Engagement Analysis.
In: Springer eBooksSummary: This book constitutes the proceedings of the First International Conference on Physiological Computing Systems, PhyCS 2014, held in Lisbon, Portugal, in January 2014. The 10 papers presented in this volume were carefully reviewed and selected from 52 submissions. They are organized in topical sections named: methodologies and methods; devices; applications; and human factors.
    average rating: 0.0 (0 votes)
No physical items for this record

Methodologies and Methods -- Wavelet Lifting over Information-Based EEG Graphs for Motor Imagery Data Classification -- Extracting Emotions and Communication Styles from Prosody -- Multiresolution Feature Extraction During Psychophysiological Inference: Addressing Signals Asynchronicity -- Devices -- Paper-Based Inkjet Electrodes: Experimental Study for ECG Applications -- An EOG-Based Automatic Sleep Scoring System and Its Related Application in Sleep Environmental Control -- Applications -- Upper Body Joint Angle Measurements for Physical Rehabilitation Using Visual Feedback -- Online Classifier Adaptation for the Detection of P300 Target Recognition Processes in a Complex Teleoperation Scenario -- Impact on Biker Effort of Electric Bicycle Utilization: Results from On-Road Monitoring in Lisbon, Portugal -- Human Factors -- Learning Effective Models of Emotions from Physiological Signals: The Seven Principles -- A Generic Effort-Based Behavior Description for User Engagement Analysis.

This book constitutes the proceedings of the First International Conference on Physiological Computing Systems, PhyCS 2014, held in Lisbon, Portugal, in January 2014. The 10 papers presented in this volume were carefully reviewed and selected from 52 submissions. They are organized in topical sections named: methodologies and methods; devices; applications; and human factors.

There are no comments for this item.

Log in to your account to post a comment.