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Physiological Computing Systems International Conferences Phycs 2016 Lisbon Portugal July 2728 2016 Phycs 2017 Madrid Spain July 2728 2017 Phycs 2018 Seville Spain September 1921 2018 Revised And Extended Selected Papers 1st Ed 2019 Andreas Holzinger

  • SKU: BELL-10799450
Physiological Computing Systems International Conferences Phycs 2016 Lisbon Portugal July 2728 2016 Phycs 2017 Madrid Spain July 2728 2017 Phycs 2018 Seville Spain September 1921 2018 Revised And Extended Selected Papers 1st Ed 2019 Andreas Holzinger
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Physiological Computing Systems International Conferences Phycs 2016 Lisbon Portugal July 2728 2016 Phycs 2017 Madrid Spain July 2728 2017 Phycs 2018 Seville Spain September 1921 2018 Revised And Extended Selected Papers 1st Ed 2019 Andreas Holzinger instant download after payment.

Publisher: Springer International Publishing
File Extension: PDF
File size: 36.98 MB
Author: Andreas Holzinger, Alan Pope, Hugo Plácido da Silva
ISBN: 9783030279493, 9783030279509, 3030279499, 3030279502
Language: English
Year: 2019
Edition: 1st ed. 2019

Product desciption

Physiological Computing Systems International Conferences Phycs 2016 Lisbon Portugal July 2728 2016 Phycs 2017 Madrid Spain July 2728 2017 Phycs 2018 Seville Spain September 1921 2018 Revised And Extended Selected Papers 1st Ed 2019 Andreas Holzinger by Andreas Holzinger, Alan Pope, Hugo Plácido Da Silva 9783030279493, 9783030279509, 3030279499, 3030279502 instant download after payment.

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.

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