American Sign Language Assistant

A.L.S.A. is a glove that converts American Sign Language to computer generated speech to help those who are hearing-impaired to communicate in everyday life. Connecting via bluetooth to a computer system to predict and output the signed letter. Using a microcontroller to interact and communicate with various sensors. Transmitting this data to a host computer which would then, using a trained machine learning model, would predict which letter the user is signing.

Meet Our Team

    Daniel Sarmiento

    Computer Engineering

    Daniel Sarmiento is a 23-year old graduating Computer Engineering student. Daniel hopes to pursue a career in embedded software development within the space industry.

    Charlie Munoz

    Electrical Engineering

    Charlie Munoz is a 24-year old graduating Electrical Engineering student. Charlie’s fields of study are signal processing and systems engineering.

  • Colin Fox

    Electrical Engineering

    Colin Fox is a 22-year old graduating Electrical Engineering student. Colin’s fields of study are applications engineering and systems integration.

  • Isabel Atanacio

    Electrical Engineering

    Isabel Atanacio is a 22-year old graduating Electrical Engineering student. Isabel Atanacio wants to focus on systems integration.

4

Team Members

10

Months

250

Dollars

507

Lines of Code

Our Documentation

Initial Project Specefications

Project proposal to Dr. Ritchie outlining our project for Senior Design

SD1 Paper

120 page technical paper outlying the initial design of our project

CDR Presentation

Mid-term presentation for senior design 2 stating project technologies used and current progress

Conference Paper

8 page conference paper for judges to get a general idea of what our project encompasses

Final Presentation

End of semester presentation for senior design 2 outlying the entierity of our project and any issues we ran along the way

SD2 Paper

Final design/technical documentation for our project, adjusted from SD1 paper