Project

# Title Team Members TA Documents Sponsor
32 Electric air ukulele
Area Award: Art and Music
 Ivan Setiawan
Satyo Iswara
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Our project throughout this semester is about the electric air ukulele. We want to create a pair of glove with functionality of a ukulele. The basic concept is that on the left hand glove there are metal plates that function as buttons. Then the combination of buttons pressed is send through antenna to the right hand glove which will interpret the combination of buttons and play the right note. The right hand itself have button to know whether or not the guitar is played or not. Also, the distance between the gloves can sense and determine the chords. We plan to use micro controller to decode the combination and generate the sound. Then the micro controller also connected to some sort of sound generator (speaker).

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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