EEG Game Simulator Using BCI & RaspberrPi
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This project proposal outlines developing an EEG-based game simulator using a brain-computer interface. The objective is to enhance gaming experience at low cost by creating an open-source device that can sense alpha and beta brainwaves and use the data to simulate games like racing and open world games by filtering alpha waves to capture basic human movements. The proposal details using a Raspberry Pi 3 with an amplifier circuit and open source software to interpret brain signals and trigger game controls. The initial goals are to build a prototype that can interpret alpha waves and improve accuracy over several iterations.
EEG Game Simulator Using BCI & RaspberrPi
- 1. Project Proposal “EEG-Based Game Simulator Using BCI” Title of Project Electroencephalogram-based game simulator using brain-computer interface. Introduction I am Vishal Aditya currently pursuing my bachelor’s degree from Amity University in Computer Science & Engineering. I have been working in this field since last 1.5 years and developed few projects relevant to Automation. Further, this is my research based project in which I am trying to achieve more efficient output in low resources. Objective of Research The objective of this project is to enhance gaming experience at cheap costs and the primary focus is to develop an open source dedicated device that can sense alpha/beta brain waves possibly and further the data can be utilized to simulate windows games like racing (NFSMMW, Asphalt8), open world (GTA) etc. At, initial stage the target is to filter alpha-waves for capturing basic human body movements like left-right arm, eyes blink, head direction in real-time. Background/History of the Study There is a lot of research already going in this Cognitive Science for Brain Computer Interface(BCI). Neuro-Sky has already developed Mind-wave headset for interpreting brain signals to their inbuilt controller and further the data is communicated over Wi-Fi or Bluetooth. But these products are too costly
- 2. and least feasible to be used for any student/developer. This prototype will be functioning on best single-board computer “RaspberryPi” which runs Linux based OS “Raspbian”. By, using Open-Source software and Python everyone can build their own interfaces to interpret the Brain Waves/Signals. Methodology Design Amplifier Circuit to amplify the voltage of each electrode. Convert Analog value to Digital, so that RPi GPIO can sense. Implementation & Coding. Design UI for data/signal visualization using PyQt in Python. Program logic to interpret brain-signals. Create socket connection to send signals in server/raspberrypi. Create client side connection to receive signals in windows/client machine. Trigger keyboard strokes, Auto Hotkeys using DirectX Programming respective to each filtered signal. Equipment Required List of general hardware parts required, items may change according to their output & efficiency. Item Link Specifications Raspberry Pi3 Amazon Quad Core 1.2GHz, 1GB RAM BCM2837 64bit CPU, On-board WiFi & Bluetooth, 40 GPIO Pin, 4 USB Ports, HDMI, CSI, Camera Module Instrumentational Amplifier TI INA3261 CMMR 100db I/P 100uVolt Very low 1/f noise Op. Amplifier Amazon LM358 OP-AMP TL 408 IC EEG Electrodes, Gel DIY Initial timeline for implementation 1 Week Learn how the various EEG Electrodes work. 2 Weeks Learn more about EEG and Brain Waves to decode message for physical movement of body.
- 3. 2 Week Find hardware parts and design amplifier circuit. 2 Weeks Implement openEEG software using BCI in Python & C++. 1 Week Develop GUI software for EEG data visualization 3 Weeks Integrate all things and testing of prototype. This is just an initial time line and not enough detail is known to provide a better time estimate. These steps may not be carried out in the same order as they appear above either and a more iterative approach is likely to be used. Conclusion & Future Scope The short-term goal is to build a prototype with some accuracy and interpret at least alpha-waves. Future scope of this is to process language and thinking of brain to some meaningful data. Also, the vision of this project is to record Human Dreams. References http://www.knight-of-pi.org/raspberry-pi-mindcontrol-neurosky- mindwave-as-simple-eeg-interface/ https://blogs.oracle.com/speakjava/entry/mind_reading_with_the_ raspberry http://www.instructables.com/id/DIY-EEG-and-ECG-Circuit/ https://www.youtube.com/watch?v=W_S9bsjonRs https://www.youtube.com/watch?v=Z5Boe4F4ryA https://www.olimex.com/Products/EEG/OpenEEG/