Project

# Title Team Members TA Documents Sponsor
4 Champaign MTD Bus Tracker Map
 Amber Wilt
Daniel Vlassov
Ziad AlDohaim
 Wesley Pang design_document1.pdf
final_paper1.pdf
other1.pdf
proposal1.pdf
video
# Champaign MTD Bus Tracker Map
# Team Members:
- Amber Wilt (anwilt2)
- Daniel Vlassov (dvlas2)
- Ziad Aldohaim (ziada2)
# Problem
Champaign has a very large and complex bus system through the MTD. It can be hard for students to know when the buses are coming when they are in buildings such as the ECEB, since the bus times are only displayed at the stops. Furthermore, these buses can be late or early, causing students to miss their bus or not arrive at their destination on time.
# Solution
To fix this, we will come up with the design for a large display that shows real-time locations of all buses (color-coded using RGB) in the surrounding campus area. This can be used by students in buildings to easily visualize where the bus they want to take is currently located, making it easier for students to time when to leave classrooms and when to expect their ride. The display will update the locations approximately every 30 seconds and will light up every LED along a bus route every few minutes to make it easier for students to visualize which bus route they need to take. Furthermore, the system will include various light settings (theme/brightness).
# Solution Components
This system will mainly include the subsystems of the LED matrix, the controller, and the power supply.
## Subsystem 1 - LED Matrix
The LED matrix will be located on a large PCB or 3D printed map of the city (cost dependent). This subsystem will be made of addressable LEDs, photoresistors to automatically modify the intensity of LEDs, and will be controlled by the microcontroller (to indicate positions).
## Subsystem 2 - Microcontroller
The microcontroller will utilize wifi to access the MTD API to gather real-time bus data as well as provide control to individually address each LED within the matrix. Furthermore, it will control/communicate with other modules/displays in the system, such as a real-time clock or menu. The microcontroller will be an ESP32
## Subsystem 3 - Power Supply
The power supply will provide ample power to a large number of LEDs (and the entire system). We will need to include a buck converter to step down the power supply to be usable by the LEDs.
# Criterion for Success
To demonstrate the success of our project, we will need to prove the accuracy of the data we are displaying (how accurate are bus timings/locations). Additionally, we will need to show that the data is easy to interpret for a user and can be utilized for easier bus system use.

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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