Quadrotor drone manipulation using neuro fuzzy algorithm with non-invasive brain-computer interface

Quadrotor drone manipulation using neuro fuzzy algorithm with non-invasive brain-computer interface

Brain-Computer Interface or BCI machines are devices that obtain signals generated from the brain and are then manipulated to suit various applications, such as interfacing with robotics. These researches usually utilize different Machine Learning algorithms. Most studies used LDA, Decision Trees, A...

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Bibliographic Details
Main Author: Chu, Timothy Scott C.
Format: text
Language:English
Published: Animo Repository 2020
Subjects:
Adaptive control systems
Neuroadaptive systems (Bioengineering)
Quadrotor helicopters
Mechanical Engineering
Online Access:https://animorepository.dlsu.edu.ph/etd_masteral/5978
https://animorepository.dlsu.edu.ph/context/etd_masteral/article/12908/viewcontent/CHU_TimothyScott_11886072_Quadrotor_Drone_Manipulation_using_a_Neuro_Fuzzy_Algorithm_with_Non_Invasive_Brain_Computer_Interface_Redacted.pdf
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Institution: De La Salle University
Language: English

Internet

https://animorepository.dlsu.edu.ph/etd_masteral/5978
https://animorepository.dlsu.edu.ph/context/etd_masteral/article/12908/viewcontent/CHU_TimothyScott_11886072_Quadrotor_Drone_Manipulation_using_a_Neuro_Fuzzy_Algorithm_with_Non_Invasive_Brain_Computer_Interface_Redacted.pdf

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