Are you ready to FLIRT with your wearable data?
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Updated
Mar 28, 2024 - Jupyter Notebook
Are you ready to FLIRT with your wearable data?
Tool for measurement of digital biomarkers from video or audio of an individual’s behavior.
A python DIgital Signal ProcEssing Library developed to standardize extraction of sensor-derived measures (SDMs) from wearables or smartphones data.
MultiGait: Real-World Gait Pipeline for Wrist-Worn Devices
A Digital Biomarker for Identifying Changes in Daily Activity Patterns
sam 40 EEG signal analysis and task based stress prediction
LSTM neural network for predicting health metrics from wearable sensor data. Full ML pipeline with data preprocessing, model training, and performance evaluation in R and Python.
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