Projects Fall 2023

Our project aimed to create an exercise-counter wearable based on a 6-axis IMU that would strap on their wrist, like a smartwatch, to count reps of various exercises performed. The motivation behind this was helping individuals at the gym keep track of their progression over time and receive detailed information... [Read More]

Our project delivers a machine learning innovation to revolutionize self-checkout systems in the retail sector by introducing YOLOv8 [1] on the Jetson Nano that proficiently identifies and tallies a wide range of produce. This system tackles the challenge of manual entries for unbarcoded items, a notorious bottleneck in retail workflows,... [Read More]

Our main goal is to create a system which allows users to control light color and/or brightness through the use of speech commands. The commands would be preceded by a wake word, “nano”, to indicate that a command has been spoken. As for controlling the lights from the arduino, we... [Read More]

Paying for parking is still a hassle in 2023. Whether in a garage or on the street, there is no single, low-cost, ubiquitous system that can be deployed everywhere. Therefore, we set out to create a low-cost, automated parking detection system grounded in embedded deep learning. We propose a two-part... [Read More]

Deep learning (DL) has been a primary security concern of the data leak. Several studies have reported that laptop keystrokes can be classified by DL and a microphone that records the keystroke acoustics. However, much uncertainty still exists about the practical deployment and cross-device classification. This paper attempts to develop... [Read More]

Each person has a unique gait, i.e., walking style, that can be used as a biometric for personal identification. Recent works have demonstrated effective gait recognition using deep neural networks, however most of these works predominantly focus on classification accuracy rather than model efficiency. In order to perform gait recognition... [Read More]

Semiterrestrial crabs evolved adaptations that allow them to stay out of the water for extended periods of time. The implication is that they experience and contribute to a rich soundscape. The project reported here aims to detect and classify sounds and vibrations produced by land crabs to accomplish two main... [Read More]