Affiliations: [a] School of Engineering, Monash University, Selangor, Malaysia | [b] School of Pharmacy, Monash University, Selangor, Malaysia | [c] Discipline of ICT, School of Technology, Environments and Design, University of Tasmania, Hobart, Australia | [d] Faculty of Kinesiology, University of Calgary, Calgary, AB, Canada
Correspondence:
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Corresponding author: Hamidreza Namazi, School of Engineering, Monash University, Selangor, Malaysia. E-mail: [email protected].
Abstract: BACKGROUND: The human brain controls all actions of the body. Walking is one of the most important actions that deals with the movement of the body. In fact, the brain controls and regulates human walking based on different conditions. One of the conditions that affects human walking is the complexity of path of movement. Therefore, the brain activity should change when a person walks on a path with different complexities. OBJECTIVE:In this research we benefit from fractal analysis to study the effect of complexity of path of movement on the complexity of human brain reaction. METHODS:For this purpose we calculate the fractal dimension of the electroencephalography (EEG) signal when subjects walk on different paths with different fractal dimensions (complexity). RESULTS:The results of the analysis show that the complexity of brain activity increases with the increment of complexity of path of movement. CONCLUSION:The method of analysis employed in this research can also be employed to analyse the reaction of the human heart and respiration when subjects move on paths with different complexities.
Keywords: Human brain, walking path, fractal dimension, complexity, electroencephalography (EEG) signal
