purcc 2012 - University of the Pacific

Electrical & Computer Engineering Senior Projects
Virtual Gloves
Edward Berbano, Gary Tang, Chris Xiong
Faculty Mentor: Jennifer Ross
We are creating a pair of motion-sensing gloves,
also known as virtual reality gloves for their use
in applications such as virtual reality, teleoperation
of robotics, and video games. These
gloves will use flex resistors and electronic
accelerometers and gyroscopes as sensors. This
means the gloves will be able to detect finger
curvature and hand position and orientation.
They will be also be able to detect both the
hand's location as well as where it is pointing.
The gloves will be battery-powered and will
transmit wirelessly to a computer, where a demo
program will process the data and display a pair
of hands whose motions correspond to the user's
movements. We will be demonstrating tasks
such as browsing files and manipulating buttons
in a virtual environment.
Piano Note Recognizer
Jay Brink, Mark Reed, Brandon Shields
Faculty Mentor: Cherian Mathews
We have designed and built a digital piano note
recognizer. The device is able to detect and
display note names as well as their position on
the staff. The device recognizes a range of notes
from one octave below, to one octave above
Middle C. It has two modes of operation, the
first of which will be a listening mode where the
device will detect a sound is played and display
it to the user on an LCD screen. In the second
mode, the device will display a note to be played
by the user, listen for it to be played, display the
note played, and confirm whether it is correct or
not. For signal processing, we develop
MATLAB code using a fast Fourier transform
and translated it to our microprocessor. We
created a custom fabricated circuit board to hold
our design. The device is battery operated and
rechargeable with a standard 120 V AC Plug.
Digital Note Recognizer
Justin Charette, Kenton Suzuki, Nick Yuen
Faculty Sponsor: Cherian Mathews
Our team has designed and built a portable and
user friendly piano note recognizer. This device
has two modes of operation. The first mode
displays notes on the musical staff as the user
plays the piano or other musical instrument. The
second mode prompts the user to play a note and
verifies that the correct note was played on the
LCD screen. This project is designed, built and
thoroughly tested. Several algorithms were
considered for analyzing the audio signals. After
testing a few, we developed code in MATLAB
to process the audio signal and translated our
solution to the Arduino Nano platform. Our
unique design is implemented on our own
printed circuit board that we created using Eagle
ayout tools. The finished portable battery
operated device will recognize single notes one
octave above and below middle C.
Wind Power Generator on a Movable
Platform
Trang Nguyen, Jon Hagerty, Joe Hasekamp
Faculty Mentor: Elizabth Basha
Our project is to build a portable wind power
generation unit. The application of this
generator is to power a network of sensors
deployed to collect data in the field. The
assembly must be on a moveable platform to
self-align itself with the wind, and transmit data
wirelessly to a laptop for data collection. The
device powers itself and chargs a backup battery
for operation on low wind days. The generation
unit must be able to stand outdoor conditions for
continual operation in all weather conditions.
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