An online top-down SSVEP-BMI for augmented reality

Kim, Ji Wan; Kim, Maeng-Nam; Kang, Di; Ahn, Min-Hee; Min, Byoung-Kyong

doi:10.1109/iww-bci.2019.8737348

Cited by 6 publications

(1 citation statement)

References 7 publications

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“…Figure 1 classifies the technologies which were deployed to support people with severe disabilities or doctors into two main categories with examples. There are other application domains including the video games [ 1 , 2 ], the virtual and augmented reality [ 3 , 4 , 5 ], communication [ 6 , 7 , 8 ], etc. The focus of this paper is the functional substitution and pathological analysis where the other one are out of the scope of this review.…”

Section: Introductionmentioning

confidence: 99%

Embedded Brain Computer Interface: State-of-the-Art in Research

Belwafi

Gannouni

Aboalsamh

2021

Sensors

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There is a wide area of application that uses cerebral activity to restore capabilities for people with severe motor disabilities, and actually the number of such systems keeps growing. Most of the current BCI systems are based on a personal computer. However, there is a tremendous interest in the implementation of BCIs on a portable platform, which has a small size, faster to load, much lower price, lower resources, and lower power consumption than those for full PCs. Depending on the complexity of the signal processing algorithms, it may be more suitable to work with slow processors because there is no need to allow excess capacity of more demanding tasks. So, in this review, we provide an overview of the BCIs development and the current available technology before discussing experimental studies of BCIs.

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