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Your certificate is now private
Certificate of Completion
THIS ACKNOWLEDGES THAT
HAS COMPLETED THE SPRING 2024 DATA SCIENCE BOOT CAMP
Fulya Tastan
Roman Holowinsky, PhD
MAY 01, 2024
DIRECTOR
DATE
TEAM
Activity Detection using Biosignals from Wearable Devices
Tong Shan, Dushyanth Sirivolu, Fulya Tastan, Philip Barron, Larsen Linov, Ming Li
Our goal is to study the biosignal pattern of everyday activity like walking, running, lifting chairs, etc, and creates machine learning models to recognize human daily activities from biosignals recorded by wearable devices. These signals includes electrocardiography (ECG), electrodermal activity (EDA), and photoplethysmography (PPG), electromyography (EMG), wrist temperature (TEMP) and chest and wrist actigraphy (ACC). The algorithms can be used in detecting user's daily activities and monitoring user's health condition.
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