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Activity Detection using Biosignals from Wearable Devices

Tong Shan, Dushyanth Sirivolu, Fulya Tastan, Philip Barron, Larsen Linov, Ming Li


Multimodal biosignal was recorded in this dataset, including electrocardiography (ECG), electrodermal activity (EDA), and photoplethysmography (PPG). They also recorded bicep electromyography (EMG), wrist temperature (TEMP) and chest and wrist actigraphy (ACC). Our goal is to study the biosignal pattern of everyday activity like walking, running, lifting chairs, etc. And then come up with a model to monitoring and predict the activity.

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