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Title:
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UNDERSTANDING HUMAN STATES CONDITION BASED ON PHYSIOLOGICAL AND PSYCHOLOGICAL INFORMATION |
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Author(s):
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Santoso Handri , Shusaku Nomura , Kazuo Nakamura |
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ISBN:
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978-972-8924-82-9 |
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Editors:
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Gunilla Bradley and Piet Kommers |
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Year:
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2009 |
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Edition:
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Single |
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Keywords:
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Physiological, psychological, human states, HMM, neural network. |
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Type:
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Full Paper |
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First Page:
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83 |
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Last Page:
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90 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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The impact of extensively usage visual display terminal (VDT) on automatic nervous systems are observed and analyzed
using a profile of mood states (POMS) and physiological information, i.e., electroencephalogram (EEG), heart rate
variability (HRV) and thermograph. Two experiments, which have different intermittent schedules, were conducted using
the Kraepelin psychodiagnostic test. The purpose is to determine human mental states towards the given task. Based on
the subjects expression through POMS questionnaire conducted before and after experiments and measured
physiological signal, a network model for evaluating human states was proposed in this study. Hidden Markov model
(HMM) and neural network are employed to differentiate human states and mood condition based on the experiments
conducted. The effectiveness of the proposed method to determine human states based on the given task is then
investigated in this study. |
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