Fundamental study to new assist system for wheel chair based on brain activity during car driving

2012 ◽  
Author(s):  
Shunji Shimizu ◽  
Hiroyuki Nara ◽  
Fumikazu Miwakeichi ◽  
Senichiro Kikuchi ◽  
Hiroaki Inoue ◽  
...  
Keyword(s):  
Brain Activity ◽  
Fundamental Study ◽  
Wheel Chair ◽  
Car Driving

Fundamental Study for Relationship between Cognitive Task and Brain Activity During Car Driving

2009 ◽  
pp. 434-440 ◽  
Author(s):  
Shunji Shimizu ◽  
Nobuhide Hirai ◽  
Fumikazu Miwakeichi ◽  
Senichiro Kikuchi ◽  
Yasuhito Yoshizawa ◽  
...  
Keyword(s):  
Brain Activity ◽  
Cognitive Task ◽  
Fundamental Study ◽  
Car Driving

scholarly journals Basic Study for New Assistive Technology Based on Brain Activity During Car Driving

2014 ◽  
Vol 26 (2) ◽  
pp. 253-260 ◽  
Author(s):  
Shunji Shimizu ◽  
◽  
Hiroaki Inoue ◽  
Hiroyuki Nara ◽  
Takeshi Tsuruga ◽  
...  
Keyword(s):  
Dorsolateral Prefrontal Cortex ◽  
Visual Recognition ◽  
Near Infrared ◽  
Brain Activity ◽  
The Elderly ◽  
Basic Study ◽  
Assistive Robots ◽  
Dorsolateral Prefrontal ◽  
The Relationship ◽  
Car Driving

The purpose of this research is develop assistive robots and apparatuses. There is a pressing need to develop new systems that assist and act for car driving and wheelchairs for the elderly as the population ages. In developing systems, it is thought to be important to examine behaviors spatial recognition. Experiments have therefore been performed to examine human spatial perceptions, especially left- and rightside visual recognition, while cars being driven using near-infrared spectroscopy (NIRS). Previous research found significant differences in the dorsolateral prefrontal cortex in the left cranial hemisphere during virtual driving and actual driving tasks. This paper discusses the measurement of brain activity during car driving. A detailed analysis was performed by segmentalizing brain activity during driving based on the motion of subjects, and we report on the relationship between brain activity and movement perception during driving.

Fundamental Study for Human Brain Activity Based on the Spatial Cognitive Task

2011 ◽  
pp. 218-225 ◽  
Author(s):  
Shunji Shimizu ◽  
Noboru Takahashi ◽  
Hiroyuki Nara ◽  
Hiroaki Inoue ◽  
Yukihiro Hirata
Keyword(s):  
Human Brain ◽  
Brain Activity ◽  
Cognitive Task ◽  
Fundamental Study

The Study of Driver's Brain Activity and Behavior Using fNIRS During Actual Car Driving

2018 ◽  
Author(s):  
Kouji Yamamoto ◽  
Hideki Takahashi ◽  
Toshiyuki Sugimachi ◽  
Kimihiko Nakano ◽  
Yoshinori Suda ◽  
...  
Keyword(s):  
Brain Activity ◽  
And Behavior ◽  
Car Driving

scholarly journals Cost-efficient and Custom Electrode-holder Assembly Infrastructure for EEG Recordings

Sensors ◽  
2019 ◽  
Vol 19 (19) ◽  
pp. 4273 ◽  
Author(s):  
Yuan-Pin Lin ◽  
Ting-Yu Chen ◽  
Wei-Jen Chen
Keyword(s):  
Fused Deposition Modeling ◽  
Brain Activity ◽  
Event Related Potential ◽  
Fundamental Study ◽  
Electrode Holder ◽  
Fused Deposition ◽  
Fixed Design ◽  
Eeg Recordings ◽  
Cost Efficient ◽  
The Brain

Mobile electroencephalogram (EEG)-sensing technologies have rapidly progressed and made the access of neuroelectrical brain activity outside the laboratory in everyday life more realistic. However, most existing EEG headsets exhibit a fixed design, whereby its immobile montage in terms of electrode density and coverage inevitably poses a great challenge with applicability and generalizability to the fundamental study and application of the brain-computer interface (BCI). In this study, a cost-efficient, custom EEG-electrode holder infrastructure was designed through the assembly of primary components, including the sensor-positioning ring, inter-ring bridge, and bridge shield. It allows a user to (re)assemble a compact holder grid to accommodate a desired number of electrodes only to the regions of interest of the brain and iteratively adapt it to a given head size for optimal electrode-scalp contact and signal quality. This study empirically demonstrated its easy-to-fabricate nature by a low-end fused deposition modeling (FDM) 3D printer and proved its practicability of capturing event-related potential (ERP) and steady-state visual-evoked potential (SSVEP) signatures over 15 subjects. This paper highlights the possibilities for a cost-efficient electrode-holder assembly infrastructure with replaceable montage, flexibly retrofitted in an unlimited fashion, for an individual for distinctive fundamental EEG studies and BCI applications.

scholarly journals Controlling Wheelchair Using Brain as Biosensor

2021 ◽  
Vol 9 (VIII) ◽  
pp. 471-479
Author(s):  
Chandana V
Keyword(s):  
Human Brain ◽  
Brain Activity ◽  
Electrical Signal ◽  
Emotional States ◽  
Brain Wave ◽  
Computer Interfaces ◽  
The Disabled ◽  
Wheel Chair ◽  
And Control ◽  
The Brain

This project discusses about wheel chair controlled by brain based on Brain–computer interfaces (BCI). BCI’s are systems that can bypass conventional channels of communication (i.e., muscles and thoughts) to provide direct communication and control between the human brain and physical devices by translating different patterns of brain activity into commands in real time. The intention of the project is to develop a robot that can assist the disabled people in their daily life to do some work independent of others. Here, we analyse the brain wave signals. Human brain consists of millions of interconnected neurons, the pattern of interaction between these neurons are represented as thoughts and emotional states. According to the human thoughts, this pattern will be changing which in turn produce different electrical waves. A muscle contraction will also generate a unique electrical signal. All these electrical waves are sensed by the brain wave sensor and different patterns are used for controlling a wheel chair.

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