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Pervasive Computing Paradigms for Mental Health

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Cover of 'Pervasive Computing Paradigms for Mental Health'

Table of Contents

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    Book Overview
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    Chapter 1 A Database of Japanese Emotional Signals Elicited by Real Experiences
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    Chapter 2 Workplace Stress Estimation from Physiological Indices in Real Situation
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    Chapter 3 Psychometric Assessment Using Classic Neuropsychological and Virtual Reality Based Test: A Study in Obsessive-Compulsive Disorder (OCD) and Schizophrenic Patients
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    Chapter 4 Age-Related Change of the Activity of Autonomic Nervous System Measured by Wearable Heart Rate Sensor for Long Period of Time
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    Chapter 5 Towards Integrating Emotion Management Strategies in Intelligent Tutoring System Used by Children
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    Chapter 6 Effect of Neck Refrigeration by the Neck Cooler on Worker’s Physiological and Psychological Performance
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    Chapter 7 Improving the Mental State of Patients in Clinical Settings Using a Non-pharmacological Method
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    Chapter 8 Study for Self-Treatment of Dementia by Biofeedback Rehabilitation
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    Chapter 9 Eye Contact Conditioning in Autistic Children Using Virtual Reality Technology
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    Chapter 10 Towards a Smart Wearable Tool to Enable People with SSPI to Communicate by Sentence Fragments
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    Chapter 11 Assessing Bipolar Episodes Using Speech Cues Derived from Phone Calls
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    Chapter 12 Design of a System for Early Detection and Treatment of Depression in Elderly Case Study
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    Chapter 13 Text Classification to Automatically Identify Online Patients Vulnerable to Depression
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    Chapter 14 Structuring and Presenting Lifelogs Based on Location Data
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    Chapter 15 Design of Therapeutic Training Sequences for Infants Using a Visual Approach
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    Chapter 16 MindGym - IPTV for Elderly People
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Citations

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Readers on

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41 Mendeley
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Title
Pervasive Computing Paradigms for Mental Health
Published by
Springer International Publishing, January 2014
DOI 10.1007/978-3-319-11564-1
ISBNs
978-3-31-911563-4, 978-3-31-911564-1
Editors

Pietro Cipresso, Aleksandar Matic, Guillaume Lopez

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 5%
Portugal 1 2%
Italy 1 2%
Unknown 37 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 22%
Researcher 6 15%
Student > Master 4 10%
Student > Bachelor 3 7%
Professor 2 5%
Other 5 12%
Unknown 12 29%
Readers by discipline Count As %
Engineering 9 22%
Computer Science 9 22%
Psychology 4 10%
Arts and Humanities 2 5%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Other 2 5%
Unknown 14 34%