Course Overview

Welcome to ECE 445/ME470 Senior Design ZJUI Spring 2022!

Welcome to the class! If you've looked at the course Calendar, you've probably already noticed that this class is quite different from most other classes in the department. The class only meets as a whole for the first four weeks of the semester. During these lectures you will meet the Course Staff, learn about specific requirements, resources, and project choices for the course, and have a chance to meet other students. These are some of the most important weeks for the class since the decisions you make during this time will determine what you'll get out of this class and, in many ways, how much you'll enjoy it.

In this course, you will form teams and propose projects that solve an engineering problem in a unique way. The projects generally involve a device that you will design, build, and demonstrate. We are excited to see what projects you create with this semester! In the midst of an ever changing learning environment, we want to encourage you to think, create, design, and build exemplary projects. We want to ensure that your experience in 445 demonstrates your potential as an engineer graduating from the University of Illinois.

This course is taught hybridly for ME and ECE students, and some projects are mentored by ZJUI faculty. Here are a few items that you will need to consider as we enter into this semester.

VoxBox Robo-Drummer

Featured Project

Our group proposes to create robot drummer which would respond to human voice "beatboxing" input, via conventional dynamic microphone, and translate the input into the corresponding drum hit performance. For example, if the human user issues a bass-kick voice sound, the robot will recognize it and strike the bass drum; and likewise for the hi-hat/snare and clap. Our design will minimally cover 3 different drum hit types (bass hit, snare hit, clap hit), and respond with minimal latency.

This would involve amplifying the analog signal (as dynamic mics drive fairly low gain signals), which would be sampled by a dsPIC33F DSP/MCU (or comparable chipset), and processed for trigger event recognition. This entails applying Short-Time Fourier Transform analysis to provide spectral content data to our event detection algorithm (i.e. recognizing the "control" signal from the human user). The MCU functionality of the dsPIC33F would be used for relaying the trigger commands to the actuator circuits controlling the robot.

The robot in question would be small; about the size of ventriloquist dummy. The "drum set" would be scaled accordingly (think pots and pans, like a child would play with). Actuators would likely be based on solenoids, as opposed to motors.

Beyond these minimal capabilities, we would add analog prefiltering of the input audio signal, and amplification of the drum hits, as bonus features if the development and implementation process goes better than expected.