Titlebook: Human-Computer Interaction; International Worksh Michael Lew,Nicu Sebe,Erwin M. Bakker Conference proceedings 2007 Springer-Verlag Berlin H

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Sang-Hack Jung,Yanlin Guo,Harpreet Sawhney,Rakesh Kumarinue to experience symptoms and impairment from their illness despite appropriate pharmacologic treatment. Moreover, psychotropic medications can be especially problematic for many older adults with regard to adverse effects, tolerability, and drug interactions. Complementary and alternative therapi

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Michel F. Valstar,Maja Panticinue to experience symptoms and impairment from their illness despite appropriate pharmacologic treatment. Moreover, psychotropic medications can be especially problematic for many older adults with regard to adverse effects, tolerability, and drug interactions. Complementary and alternative therapi

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Chung-Ching Chang,Chen Wu,Hamid Aghajan course of bipolar disorder, knowledge of stress physiology is rapidly evolving. Following stress, stress hormones – including (nor)adrenaline and corticosteroid – reach the brain and change neuronal function in a time-, region-, and receptor-dependent manner. Stress has direct consequences for a ra

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Andrei Statere was poorly understood for years since the available technology was limited to the candidate gene approach that did not allow to explore the contribution of multiple loci throughout the genome. BP is a complex disorder, which pathogenesis is influenced by a number of genetic variants, each with sm

MITE

Chi-Wei Chu,Ramakant Nevatiahe development of new treatments. Although the aetiology of bipolar disorders is not yet fully understood, it is accepted that the disorder(s) may result from the interaction between genetic factors that cause susceptibility and predisposing, precipitating and perpetuating environmental factors, suc

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Human-Computer Intelligent Interaction: A Survey,ich will define the 21st century and enable the world to communicate and interact effortlessly and intuitively. In this short survey, we explain the major research clusters comprising the state of the art, and indicate promising future research directions.

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Drowsy Driver Detection Through Facial Movement Analysis,ntial applications of intelligent vehicle systems. Previous approaches to drowsiness detection primarily make pre-assumptions about the relevant behavior, focusing on blink rate, eye closure, and yawning. Here we employ machine learning to datamine actual human behavior during drowsiness episodes. A

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