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mmalekzadeh / motion-sense

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MotionSense Dataset for Human Activity and Attribute Recognition ( time-series data generated by smartphone's sensors: accelerometer and gyroscope)

mobile deep-learning time-series sensor gyroscope har activity-recognition dataset accelerometer autoencoder smartphone deeplearning convolutional-neural-networks human-activity-recognition sensor-data acclerometer mobile-sensing sensors-data-collection motionsensor motionsense-dataset
  • Updated Dec 7, 2019
  • Jupyter Notebook

ani8897 / Human-Activity-Recognition

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Classifying the physical activities performed by a user based on accelerometer and gyroscope sensor data collected by a smartphone in the user’s pocket. The activities to be classified are: Standing, Sitting, Stairsup, StairsDown, Walking and Cycling.

machine-learning scikit-learn gyroscope accelerometer rnn human-activity-recognition sensor-data keras-neural-networks lstm-neural-networks downsampling-data
  • Updated Jun 22, 2017
  • Python

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