Manohastha BCI-Driven Extendable Robotic Arm is a M.Tech project topic for Electronics & Communication Engineering. It gives students a clear starting point for research, implementation planning, and documentation.
Manohastha BCI-Driven Extendable Robotic Arm Project Details
| Abstract |
The aim of this M.Tech project is to design and assess a non-invasive Brain-Computer Interface (BCI) that drives an extendable robotic arm called ManoHastha. The objective of the system is to convert human neural signals into mechanical movement using Electroencephalography (EEG) and Electrooculography (EOG) signals. The system combines a BioAmp EXG Pill for the acquisition of biosignals, an Arduino Nano for signal conditioning and analog to digital (A/D) conversion, and an ESP32 microcontroller for biosignal wireless transmission and control of the robotic arm. The robotic manipulator is capable of performing reach-and-grab tasks by means of voluntary eye blinks and sustained levels of attention without any physical interaction from the user.
A hybrid processing system is used to reduce the control delay and to improve the reliability of the system. Experiments show the ability to detect intentional blink patterns and maintain attentional control to achieve an average control response delay of 125 ms, which is close to real time. The system is inexpensive and therefore promotes its use for educational, assistive, and industrial safety purposes.
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| Reference Paper |
Manohastha: A BCI-Driven Extendable Robotic Arm |
| Domain |
Electronics & Communication Engineering |
| Sub-Domain |
Signal & Image Processing / Biomedical Signal Processing / Brain-Computer Interface |
| PDF Download |
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| Get Help |
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