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- Type of Document: M.Sc. Thesis
- Language: Farsi
- Document No: 57027 (05)
- University: Sharif University of Technology
- Department: Electrical Engineering
- Advisor(s): Fakharzadeh, Mohammad
- Abstract:
- This thesis is in the field of electroulography sensor technology and with the main goal of designing and manufacturing electroulography sensor for use in various applications including human-machine communication and biomedical technology. The research method used includes a comprehensive review of the existing literature to understand the current state of this technology and to identify its major advances and shortcomings. In the next step, an experimental approach is chosen to evaluate the performance of the sensor in recording and interpreting electrical signals related to biological processes, which includes the design and execution of controlled experiments using prepared biological samples. Finally, with customized hardware design, these approaches are implemented on real data. The results of this research provide valuable information about the sensitivity, accuracy and reliability of electroulography sensors in different scenarios. Also, basic challenges such as very low amplitude level, very high noise immunity, and signal shift and drift have been investigated, as well as proposed solutions to improve its performance, and this research can pave the way for more advanced applications in various fields. In this thesis, we have succeeded in designing a hardware that performs effective pre-processing using precise filters on the recorded signals. Finally, by observing different principles in signal acquisition and intelligent processing algorithms, we have achieved 100% accuracy in detecting horizontal movements and blinking
- Keywords:
- Biological Signals ; Machine Learning ; Human-Machine Interaction ; Electroecholography ; Eye Movements ; Wearable Sensor
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