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All Journal International Journal of Artificial Intelligence
Kusuma Mohanchandra
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Computer Science & IT Decision Sciences, Operations Research & Management

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Brain Operated Wheelchair Using a Single Electrode EEG Device and BCI Anuraag Manvi; Amaan Masood; Kusuma Mohanchandra
International Journal of Artificial Intelligence Vol 7 No 1 (2020)
Publisher : Lamintang Education and Training Centre, in collaboration with the International Association of Educators, Scientists, Technologists, and Engineers (IA-ESTE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36079/lamintang.ijai-0701.54

Abstract

This paper predominantly explains the use of a simplistic uni-polar device to obtain EEG for the development of a Brain-Computer Interface (BCI). In contrast, BCI's eye-blinking stimuli can also be obtained. Consequently, focus and eye-blinking stimuli can be captured as control pulses in electric wheelchairs via a computer interface and electrical interface. This survey paper aims to provide a feasible solution to integrate a Brain-Computer Interface (BCI) with automated identification and avoidance of obstacles. The automated obstacle detection and avoidance system aims to provide a way to easily detect obstacles and easily correct the course.
Survey on Early Detection of Alzhiemer’s Disease Using Capsule Neural Network Sharunya Sharunya R; Vijayalakshmi Desai; Meenakshi Singh; Kusuma Mohanchandra
International Journal of Artificial Intelligence Vol 7 No 1 (2020)
Publisher : Lamintang Education and Training Centre, in collaboration with the International Association of Educators, Scientists, Technologists, and Engineers (IA-ESTE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36079/lamintang.ijai-0701.65

Abstract

Alzheimer's disease (AD) is an disorder which is irreversible of the brain related to memory loss, mostly found in the old and aged population. Alzheimer's dementia results from the degeneration or loss of brain cells. The brain-imaging technologies most often used to diagnose AD is Magnetic resonance imaging (MRI). MRI or structural magnetic resonance is a very popular and actual technique used to diagnose AD. An MRI uses magnets and powerful radio waves to create a complete view of your brain. To actually detect the presence of Alzheimer’s, the MRI should me studied carefullyImplementation of CBIR Content Based Image Retrival which is a revolutionary computer aided diagnosis technique will create new abilities in MRI Magnetic resonance imaging in related image retrieval and training for recognition of development of AD in early stages
Co-Authors Amaan Masood Anuraag Manvi Meenakshi Singh Sharunya Sharunya R Vijayalakshmi Desai