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juravinski

2021-data analysis

Data: pre-processed and labeled 3 axis accelerometer data for all 30 subjects. There are two data trials, contain 4 poses and 3 sensors. 0-'Lying', 1-'Sitting', 2-'Standing', 3-'Walking' Data are splitted into 2 seconds sliding windows, ready to be used for model training. SubXX_train_data.txt stores the X SubXX_train_label.txt stores corresponding y

Code: python files name with ptm_XXX stands for the pooling task models for human activity recognition files. Separate models were trained for each sensor location or their combinations.

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