IoT based brain-wave assistive system for paralyzed individuals

IoT based brain-wave assistive system for paralyzed individuals

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2020.

Sonraí bibleagrafaíochta
Príomhchruthaitheoirí:	Monowara, Syeda Maliha, Shariar, Md Ahnaf, Islam, Md. Shafayat Ul, Jawad, Muhammed Junaid Noor
Rannpháirtithe:	Sabuj, Saifur Rahman
Formáid:	Tráchtas
Teanga:	en_US
Foilsithe / Cruthaithe:	BRAC University 2021
Ábhair:	IoT Internet of Things BCI EEG FFT OpenBCI Bainwave
Rochtain ar líne:	http://hdl.handle.net/10361/14519

Míreanna comhchosúla

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EEG signals analysis for motor imagery brain computer interface
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Optimizing cognitive efficiency of emotiv EPOC and controlling wheelchair through it
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Application of machine learning in attentiveness detection from EEG signal
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The influence of IoT-based agrotech system in Bangladesh on developing urban farming
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Analysis on IOT Botnet and DDOS attack
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Implementation of an IoT based home automation system using real time sensors
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IoT based smart traffic control system using sumo traffic simulator
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Performance enhancement of 5G Network using NB-IoT with LTE-M and Novel RASS Algorithm
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Advance waterway transport system based on Internet of Things (IoT)
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A highly efficient solar powered IoT based irrigation system
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IoT smart meter for electricity consumers
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The application of Internet Of Things (IoT) to the traditional power grid
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IoT based smart biofloc monitoring and maintenance system
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Botnet detection In IoT devices using machine learning
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IOT based monitoring and automation system for a smart home
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Data security model using deep learning and edge computing for Internet of Things (IoT) in smart city
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Emotion recognition by exploiting temporal resolution of EEG signals using transformation and learning methods
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Smart waste management systems for sustainable urban life based on IoT for scalable IoT-based smart city solutions
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