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Electrical and Computer Engineering

Electronic Thesis and Dissertation Repository

2023

Deep learning

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Full-Text Articles in Engineering

Deep Learning For Detection Of Upper And Lower Body Movements, Kyle B. Lacroix Feb 2023

Deep Learning For Detection Of Upper And Lower Body Movements, Kyle B. Lacroix

Electronic Thesis and Dissertation Repository

When humans repeat the same motion, the tendons, muscles, and nerves can be damaged, causing repetitive stress injuries (RSI). Symptoms usually begin slowly and become more intense and constant over time. If the motions that lead to RSI are recognized early, these injuries can be prevented. A preventative approach could be implemented in factories to warn workers about possible injuries. By detecting the movements that can cause RSI, the worker can be alerted to stop carrying out those movements. For this purpose, machine learning models can detect human motion with the human activity recognition (HAR) model. HAR models typically require …


Pt-Net: A Multi-Model Machine Learning Approach For Smarter Next-Generation Wearable Tremor Suppression Devices For Parkinson's Disease Tremor, Anas Ibrahim Jan 2023

Pt-Net: A Multi-Model Machine Learning Approach For Smarter Next-Generation Wearable Tremor Suppression Devices For Parkinson's Disease Tremor, Anas Ibrahim

Electronic Thesis and Dissertation Repository

According to the World Health Organization (WHO), Parkinson's Disease (PD) is the second most common neurodegenerative condition that can cause tremors and other motor and non motor related symptoms. Medication and deep brain stimulation (DBS) are often used to treat tremor; however, medication is not always effective and has adverse effects, and DBS is invasive and carries a significant risk of complications. Wearable tremor suppression devices (WTSDs) have been proposed as a possible alternative, but their effectiveness is limited by the tremor models they use, which introduce a phase delay that decreases the performance of the devices. Additionally, the availability …