# Title Team Members TA Documents Sponsor
2 Robotic Caricature Artist
Honorable Mention
Dylan Huang
Peter Kuimelis
Soumithri Bala
Xinrui Zhu design_review
We want to make a robotic “caricature artist” consisting of a 2D pen plotter, made from an end-effector (with a pen), some string, and stepper motors, mounted vertically onto an easel. A computer equipped with a camera would capture our subject, vectorize the image, and pass it to our plotter, which would draw the image onto a piece of paper.
This project can be broken into modules which can be designed (or procured) and tested independently: 1) a software module that uses basic image processing operations to apply a cartoon effect to our image 2) a software module that converts a raster image to a vectorized format 3) a software module that converts a vectorized image to G-code instructions 4) and finally, a 2-D plotter that receives G-code instructions.
This project is appropriate for a senior design project because it combines many aspects of the ECE curriculum such as circuit design, mathematics, and algorithms. This project is unique, because we are combining many concepts into a single product -- there exist 2D pen-plotters and software capable of vectorizing images, but the two have never been combined into a single device that achieves our goal of emulating a human caricature artist.

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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