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Features-engineering-of-Motion-data
Features-engineering-of-Motion-data PublicPython library to extract features from timeseries of motion data (e.g. accelerometer)
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fuzzy-rough-set-feature-selection
fuzzy-rough-set-feature-selection PublicA fuzzy rough set-based feature selection method using representative instances
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tsfresh
tsfresh PublicForked from blue-yonder/tsfresh
Automatic extraction of relevant features from time series:
Jupyter Notebook 1
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sensormotion
sensormotion PublicForked from sho-87/sensormotion
Python package for analyzing sensor-collected human motion data (e.g. physical activity levels, gait dynamics)
Python 1
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Human-Activity-Recognition-from-Accelerometer-Data-using-Ensemble-Learning
Human-Activity-Recognition-from-Accelerometer-Data-using-Ensemble-Learning PublicForked from Yifeng-He/Human-Activity-Recognition-from-Accelerometer-Data-using-Ensemble-Learning
This project aims to classify the human activities using ensemble learning method. In this project, we compared the recognition accuracy among different classifiers, visualized the data using seabo…
Python 1
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activity-recognizer
activity-recognizer PublicForked from FyZyX/activity-recognizer
Classify common human activities from accelerometer data.
Python 1
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