Python implementations of machine learning algorithms for motion artifact detection in electrodermal activity (EDA) data
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Updated
Jul 27, 2017 - Python
Python implementations of machine learning algorithms for motion artifact detection in electrodermal activity (EDA) data
Enhancing Efficiency in Multidevice Federated Learning through Data Selection
"UBIWEAR: An end-to-end, data-driven framework for intelligent physical activity prediction to empower mHealth interventions" @ IEEE HealthCom 2022
PyTorch Implementation of IEEE/ACM CHASE 2021 paper "STranGAN: Adversarially-Learnt Spatial Transformer for Scalable Human Activity Recognition"
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.
Arm mounted computer, which includes detection for bio signatures, accleration, gyroscope(Orientaion to Gravity well), and uploads to master control server.
RealTimePose is a Python library for creating body-interactive GUIs using computer vision.
cvgui is a Python library for creating body-interactive GUIs using computer vision.
OpenEyeTap 02w wearable.
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