Brain Computer Interface Controlled Voice Assistant
Rahul Sarkar1, M. Prakash2

1Rahul Sarkar*, MTech, Department of Computer Science & Engineering, SRM Institute of Science & Technology, Chennai, India.
2Dr. M. Prakash, Associate Professor, Department of Computer Science & Engineering, SRM Institute of Science & Technology, Chennai, India
Manuscript received on March 12, 2020. | Revised Manuscript received on March 25, 2020. | Manuscript published on March 30, 2020. | PP: 2370-2377 | Volume-8 Issue-6, March 2020. | Retrieval Number: E6779018520/2020©BEIESP | DOI: 10.35940/ijrte.E6779.038620

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Abstract: A brain-controlled robot using brain computer interfaces (BCIs) was explored in this project. BCIs are systems that are able to circumvent traditional communication channels (i.e. muscles and thoughts), to ensure the human brain and physical devices communicate directly and are in charge by converting various patterns of brain activity to instructions in real time. An automation can be managed with these commands. The project work seeks to build and monitor a program that can help the disabled people accomplish certain activities independently of others in their daily lives. Develop open-source EEG and brain-computer interface analysis software. The quality and performance of BCI of different EEG signals are compared. Variable signals obtained through MATLAB Processing from the Brainwave sensor. Automation modules operate by means of the BCI system. The Brain Computer Interface aims to build a fast and reliable link between a person’s brain and a personal computer. The controls also use the Brain-Computer Interface for home appliances. The system will integrate with any smartphones voice assistant.
Keywords: Brain Computer Interface (BCI), Smartphone Automation, Electro-Encephalogram (EEG), Android, Google Assistant.
Scope of the Article: Computer-Supported Cooperative Work.