Physiological Computing Systems : International Conferences, PhyCS 2016, Lisbon, Portugal, July 27¿28, 2016, PhyCS 2017, Madrid, Spain, July 27¿28, 2017, PhyCS 2018, Seville, Spain, September 19¿21, 2018, Revised and Extended Selected Papers

Andreas Holzinger

ISBN 10: 3030279499 / ISBN 13: 9783030279493

Published by Springer International Publishing, Springer International Publishing, 2019

About this Item

Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the proceedings of the Third International Conference on Physiological Computing Systems, PhyCS 2016, held in Lisbon, Portugal, in July 2016.The 12 papers presented in this volume were carefully reviewed and selected from numerous submissions. They contribute to the understanding of relevant trends of current research on physiological computing systems, including brain-computer interfaces, virtual reality, psychophysiological load assessment in unconstrained scenarios, body tracking and movement pattern recognition, emotion recognition, machine learning applied to diabetes and hypertension, tangible biofeedback technologies, multimodal sensor data fusion, and deep learning for hand gesture recognition.

Seller Inventory # 9783030279493

Bibliographic Details

• Title: Physiological Computing Systems : International Conferences, PhyCS 2016, Lisbon, Portugal, July 27¿28, 2016, PhyCS 2017, Madrid, Spain, July 27¿28, 2017, PhyCS 2018, Seville, Spain, September 19¿21, 2018, Revised and Extended Selected Papers
• Publisher: Springer International Publishing, Springer International Publishing
• Publication Date: 2019
• Language: English
• ISBN 10: 3030279499
• ISBN 13: 9783030279493
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 15D millimeters 235 millimeters width by 155 millimeters height by 15 millimeters depth
• Weight: 400 grams

About this title

Synopsis

This book constitutes the proceedings of the Third International Conference on Physiological Computing Systems, PhyCS 2016, held in Lisbon, Portugal, in July 2016.
The 12 papers presented in this volume were carefully reviewed and selected from numerous submissions. They contribute to the understanding of relevant trends of current research on physiological computing systems, including brain-computer interfaces, virtual reality, psychophysiological load assessment in unconstrained scenarios, body tracking and movement pattern recognition, emotion recognition, machine learning applied to diabetes and hypertension, tangible biofeedback technologies, multimodal sensor data fusion, and deep learning for hand gesture recognition.