Multimodal human activity recognition using wrist-worn wearable sensors.
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Updated
Aug 5, 2020 - Jupyter Notebook
Multimodal human activity recognition using wrist-worn wearable sensors.
Calculates time and frequency domain heart rate variability metrics (validated in Kubios) from RR interval (ECG) or IBI (PPG).
The Wearables Data Compression Toolbox is designed to share data compression algorithms that have been evaluated on wearables data.
Estimation of resting heart rate.
wearablecompute is an open source Python package containing over 50 data and domain-driven features that can be computed from wearables and mHealth sensor data.
nutrition search tool that uses food2vec
Wearable Variability Package for Python
this contains a file which was used to filter authors from a pubmed search for a systematic review based on the location of the author (requiring 50% USA led) and that one author from the USA was an academic
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