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Physiological Computing Systems: First International Conference, PhyCS 2014, Lisbon, Portugal, January 7-9, 2014, Revised Selected Papers: Lecture Notes in Computer Science, cartea 8908

Editat de Hugo Plácido da Silva, Andreas Holzinger, Stephen Fairclough, Dennis Majoe
en Limba Engleză Paperback – 9 dec 2014
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.
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Specificații

ISBN-13: 9783662456859
ISBN-10: 3662456850
Pagini: 180
Ilustrații: XIV, 171 p. 57 illus.
Dimensiuni: 155 x 235 x 17 mm
Greutate: 0.27 kg
Ediția:2014
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seriile Lecture Notes in Computer Science, Information Systems and Applications, incl. Internet/Web, and HCI

Locul publicării:Berlin, Heidelberg, Germany

Public țintă

Research

Cuprins

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.

Caracteristici

Includes supplementary material: sn.pub/extras