Project

# Title Team Members TA Documents Sponsor
39 Photocell Music Board based on Eli Fieldsteel’s Project Pitch
Alonzo Marsh
Sean Li
Kexin Hui appendix
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final_paper
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Our project involves creating an improved version of Eli Fieldsteel’s prototype music board. The music board consists of an array of 256 photoresistors connected via USB to a computer. The computer runs a program written in the Supercollider programming language to collect and interpret data from the music board. Each photoresistor detects the intensity of light shining on it. When a drop in light intensity on a photoresistor is detected, the computer plays a note. The music board is capable of playing any combination of notes simultaneously.

The improved music board will feature modular photoresistor boards and execute internal component failure checks. 256 photoresistors will be placed on 16 identical PCBs with 16 photoresistors on each board. If a photoresistor fails, a single PCB can be replaced easily without affecting the rest of the music board.

To add to Eli’s original design, we will also implement:
A 16x16 LED display board that will mirror the hand motions to provide a matching visual for demonstration purposes.
An algorithm to smooth the data to account for effects of inconsistent light sources including interference from spotlights and low light environments.
A user interface to switch between multiple instrument sounds and adjust board characteristics (pitch, volume, sensitivity, calibration)

Additional Ideas:
Create a generic design that can use different types of sensors (touch sensors, flex sensors, distance sensors, color sensors)
Design a small, hand held, self contained version with battery power

Low Cost Myoelectric Prosthetic Hand

Michael Fatina, Jonathan Pan-Doh, Edward Wu

Low Cost Myoelectric Prosthetic Hand

Featured Project

According to the WHO, 80% of amputees are in developing nations, and less than 3% of that 80% have access to rehabilitative care. In a study by Heidi Witteveen, “the lack of sensory feedback was indicated as one of the major factors of prosthesis abandonment.” A low cost myoelectric prosthetic hand interfaced with a sensory substitution system returns functionality, increases the availability to amputees, and provides users with sensory feedback.

We will work with Aadeel Akhtar to develop a new iteration of his open source, low cost, myoelectric prosthetic hand. The current revision uses eight EMG channels, with sensors placed on the residual limb. A microcontroller communicates with an ADC, runs a classifier to determine the user’s type of grip, and controls motors in the hand achieving desired grips at predetermined velocities.

As requested by Aadeel, the socket and hand will operate independently using separate microcontrollers and interface with each other, providing modularity and customizability. The microcontroller in the socket will interface with the ADC and run the grip classifier, which will be expanded so finger velocities correspond to the amplitude of the user’s muscle activity. The hand microcontroller controls the motors and receives grip and velocity commands. Contact reflexes will be added via pressure sensors in fingertips, adjusting grip strength and velocity. The hand microcontroller will interface with existing sensory substitution systems using the pressure sensors. A PCB with a custom motor controller will fit inside the palm of the hand, and interface with the hand microcontroller.

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