Project

# Title Team Members TA Documents Sponsor
27 VoxBox Robo-Drummer
Northrop Grumman Best Project Award
Craig Bost
Drake Proffitt
Nicholas Dulin
Zhen Qin design_document0.pdf
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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.

Smart Patient Gown for Monitoring ECG signals

Michael Luka, Siddharth Muthal, Raj Vinjamuri

Smart Patient Gown for Monitoring ECG signals

Featured Project

Mike, Raj, and Sid created a "Smart Patient Gown for Monitoring ECG/EKG Signals" to improve doctor and nurse workflow and to create a platform for further improved healthcare instrumentation interface.

This project featured:

-Wireless data transmission

-Real-time ECG/EKG Analysis and Diagnostics

-Visual feedback on a patient gown

-Low power circuitry

-Improved comfort compared to current portable ECG devices

Project Videos