Classification of physiological signals for human computer interaction using deep learning
Muhammad Farrukh Qureshi (17313)
Classification of physiological signals for human computer interaction using deep learning - Islamabad (unpublished) 2024 - xvii,106 p. : ill. ; 30 cm. +CD
A dissertation submitted in the partial fulfillment of the requirements for the degree of Doctor of Philosophy in Electrical Engineering to the Faculty of Engineering and Applied Sciences. Includes bibliographical references Thesis supervisor: Dr. Zohaib Mushtaq
Thesis (Ph.D.)-Riphah International University, 2024
English
Electrical Engineering--Multi-layer perceptron classifier--Neuroscience electromyography--Processing techniques--Statistical tests--Evaluation metrics--DBS--FEAS
621.31 / FAR
Classification of physiological signals for human computer interaction using deep learning - Islamabad (unpublished) 2024 - xvii,106 p. : ill. ; 30 cm. +CD
A dissertation submitted in the partial fulfillment of the requirements for the degree of Doctor of Philosophy in Electrical Engineering to the Faculty of Engineering and Applied Sciences. Includes bibliographical references Thesis supervisor: Dr. Zohaib Mushtaq
Thesis (Ph.D.)-Riphah International University, 2024
English
Electrical Engineering--Multi-layer perceptron classifier--Neuroscience electromyography--Processing techniques--Statistical tests--Evaluation metrics--DBS--FEAS
621.31 / FAR