2010•대한산업공학회 추계학술대회 논문집Requires access

Towards a systematic approach to assess emotional state by combinatorial analysis of neurophysiological signals

Sol I. Lim, Myun Woo Lee

Open publisher page 0 citations

Abstract

Emotion is a complex mechanism involving human nervous system and neural network. Expression of emotion is delivered by Somatic nervous System and Autonomic nervous System. Further, signals passing Autonomic nervous System is controlled either by Sympathetic nervous system or by Parasymphathetic nervous system. In this study, eight neurophysiological responses were measured. Measured responses, associated neural path, and interrelationships among responses were analyzed to formulate a set of state space of emotion, Preliminary result showed that analysis of interrelationships among response variables may provide a systematic approach for expanding a state of the art knowledge on emotion.

About this research paper

What this paper is about

Emotion is a complex mechanism involving human nervous system and neural network. Expression of emotion is delivered by Somatic nervous System and Autonomic nervous System. Further, signals passing Autonomic nervous System is controlled either by Sympathetic nervous system or by Parasymphathetic nervous system. In this study, eight neurophysiological responses were measured. Measured responses, associated neural path, and interrelationships among responses were analyzed to formulate a set of state space of emotion, Preliminary result showed that analysis of interrelationships among response variables may provide a systematic approach for expanding a state of the art knowledge on emotion.

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Emotion is a complex mechanism involving human nervous system and neural network. Expression of emotion is delivered by Somatic nervous System and Autonomic nervous System. Further, signals passing Autonomic nervous System is controlled either by Sympathetic nervous system or by Parasymphathetic nervous system. In this study, eight neurophysiological responses were measured. Measured responses, associated neural path, and interrelationships among responses were analyzed to formulate a set of state space of emotion, Preliminary result showed that analysis of interrelationships among response variables may provide a systematic approach for expanding a state of the art knowledge on emotion.

Key concepts: Neurophysiology, Nervous system, Autonomic nervous system, Neuroscience, Set (abstract data type), Artificial neural network, Computer science, State space

Related papers

Back to paper searchBrowse research topicsOriginal source
Towards a systematic approach to assess emotional state by combinatorial analysis of neurophysiological signals — Research Paper | ScholarLens