UR-63 Low Cost High Impact Fall Detection At The Edge
Location
https://ccse.kennesaw.edu/computing-showcase/cday-programs/spring2021program.php
Document Type
Event
Start Date
26-4-2021 5:00 PM
Description
ML models have become more accurate, powerful and portable in recent years, the purpose of this project is to explore how these advances can be applied towards fall detection for less cost than before possible. This project explores the application of micro controllers which have become cheaper and stronger along with emerging machine learning models that can be trained on a traditional computer with greater resources and then port the model to be interpreted on a micro-controller such as a raspberry pi. These two factors lead to the reason to revisit the problem of fall detection, a problem that plagues the elderly can likely be solved cheaper and more accurately than ever before, and that is the challenge that this paper aims to explore.Advisors(s): Professor Mohammed AledhariTopic(s): Artificial IntelligenceCS 4267
UR-63 Low Cost High Impact Fall Detection At The Edge
https://ccse.kennesaw.edu/computing-showcase/cday-programs/spring2021program.php
ML models have become more accurate, powerful and portable in recent years, the purpose of this project is to explore how these advances can be applied towards fall detection for less cost than before possible. This project explores the application of micro controllers which have become cheaper and stronger along with emerging machine learning models that can be trained on a traditional computer with greater resources and then port the model to be interpreted on a micro-controller such as a raspberry pi. These two factors lead to the reason to revisit the problem of fall detection, a problem that plagues the elderly can likely be solved cheaper and more accurately than ever before, and that is the challenge that this paper aims to explore.Advisors(s): Professor Mohammed AledhariTopic(s): Artificial IntelligenceCS 4267