Design Innovation Competition Projects

Design Innovation Competition Projects (2020-2021)


Faculty advisor(s): Dr. Micheal Bailey-Van Kuren (EBTD)

Team Members: Wendy Poe, Rose Mauch, Jose-Jonathan Arthur

Project description: We are adapting the software and AI technology within smart speakers, like google home, so that they may be more accessible to people who use sign language, especially the Deaf Community. The product will most likely be a software extension that can use sign language recognition in a similar way that it already uses voice recognition, and output text to the screen while it executes commands. We are dedicated to being respectful of the Deaf community, and our business and marketing plan will be considering their culture, frustrations, and how they receive information about new products.

Project goals:

  • Develop a software extension that can utilize sign language input for smart speakers through image recognition.
  • Effective communication between smart speakers and members Deaf community.
  • Change smart speaker output to on-screen text.

Resistance Walker

Faculty advisor(s): Surya Prakash Pandeya (MME)

Team Members: Steve McPherson, Sarah Herbruck, Rob Ross-Shannon, John Fernandez, Gabe Lenneman, Robby Weideling

Project description: Our project revolved around the idea of increasing the amount of aerobic exercise that elderly individuals who utilize walkers can achieve. The design is based upon a gear operated walker in which resistance can be modified to meet exercise demands. Through simulation based modeling and 3D printing of gear parts, we hope to develop an operational walker by late April.

Project goals:

  • Develop a simulation-based model using Autoworks outlining our design
  • tilize 3D printing machinery to print gear prototypes for our walker
  • Incorporate balance and movement studies to improve walker design


Faculty advisor(s): Dr. Jim Leonard (ECE)

Team Members: Dhruv Birla, Timmy Boush, Josiah Putrich, Sakshi Shah

Project description: We are developing a smartphone app that uses an audio-enabled labeling system for people with visual impairment to independently identify stored food. Users will be able to scan physical labels and then deliver an audio clip previously recorded and stored by the user. This technology will assist in-home living for people with visual impairment by helping them reduce food waste and identify available food without outside assistance.

Project goals:

  • Implement an efficient labeling system for food containers that is easy to use for people with all degrees of visual impairment
  • Develop a smartphone app capable of scanning stickers and relaying the desired information to the user
  • Provide an affordable and accessible way for people with visual impairment to be more independent

Smart Mirror

Faculty advisor(s): Dr. John Femiani (CEC)

Team Members: Alex Kernell, Colin Sellers, & Pete Cole

Project description: We are designing a product that will automatically dispense the correct prescription at the right time for the elderly and patients with dementia. The idea is that when the patient wakes up in the morning, the first thing they will do is go to the restroom, walk up to the mirror and the mirror will tell them which pills that they will be taking and at what time they will be dispensed.

Project goals:

  • Automate the dispensing of pills to remove the need of them being given out by a caretaker
  • Alerting the patient, caretakers, and physicians when a prescription is running low and when a new prescription needs to be picked up by
  • Sleek design, should look normal in the bathroom setting


Faculty advisor(s): Dr. Garrett Goodman (CSE)

Team Members: Brandon Hall, Asia Flores, Luke Carter, Rishi Narahari, Max Lanum

Project description: The goal of this project is to create a system of one or more cameras, in conjunction with AI and mobile computing, to help prevent injury during home workouts. We plan to have a mobile application working on Android to begin with, but can be expanded to iPhone, which can be setup to record an exercise. This recording will calculate angles of joints and movement to determine if the user’s exercise is following good form. If not, a notification will be given to alert the user that a potential injury could occur due to their exercise form.

Project goals:

  • Reduce injuries due to bad form
  • Improve accessibility of personal training
  • Help people get fit