Open AccessAnalysis of brain activity in distance recognition
Author(s) -
Shohei Matsui,
Hirokazu Miura,
Noriyuki Matsuda,
Masato Soga,
Hirokazu Taki
Publication year - 2018
Publication title -
procedia computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.334
H-Index - 76
ISSN - 1877-0509
DOI - 10.1016/j.procs.2018.07.246
Subject(s) - computer science , cognitive neuroscience of visual object recognition , artificial intelligence , brain activity and meditation , pattern recognition (psychology) , computer vision , object (grammar) , measure (data warehouse) , distance measurement , distance measures , distance transform , activity recognition , action (physics) , speech recognition , electroencephalography , psychology , neuroscience , image (mathematics) , data mining , physics , quantum mechanics
Distance recognition is the skill to estimate the distance to the target object. Such a distance recognition skill is one of the most important skills in everyday life. In various situations, such as walking, driving a car, communicating with people and so on, humans perceive the distance between the targets, and do the adequate action. Generally, the precision of distance recognition is different according to difference of the ambient surroundings, the objects, and especially the individual’s ability. The distance recognition is achieved by capturing the target object visually and processing its visual information in their brains. Therefore, it is important to investigate how the difference of distance recognition skills affects the brain activity. In the paper, we measure the cerebral blood flow as a brain activity by using NIRS (Near-Infrared Spectroscopy) in the distance recognition.
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