Capstone Project

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Group 2013-1 Status completed
Title A Wearable Breathing Detector System
Supervisor Dr. Rabin Raut
Description The system will detect the acoustic signal of the breathing of a human (subject). It will use several filters and an algorithm to decide if breathing signal is present or not. There will be a transmitter to send the detected result to a distant receiver.
Student Requirement [Prerequisite knowledge, course background, etc] 1. Use of transducers to detect audio signal. 2. Frequency range of breathing signal 3. Filter circuits 4. Decision (digital) circuits 5. Transmit-receive system (could be a simple 0/1 logic signal driving an LED)
Tools [Software, hardware, test equipment, etc] 1. Signal generator 2. Power supply 3. OP-AMP/OTA /Comparator chips 4. DSP chip for DFT generation 5. R,C components 6. LEDs or other detection devic(s)
Number of Students 3
Students Pierre-Michel Bedard, Marwan Geagea, Dan Qi Liu, Zeeshan Mahmood
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