kcc2020-tutorial-HAR-dataset 0.1.1

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Dataset for KCC2020: Tutorial on Human Activity Recognition

Install

pip install kcc2020-tutorial-HAR-dataset

How to use

• This dataset is for the KCC2020 tutorial on human activity recognition.
• This dataset is originally from UCI's HAPT (Human Activities and Postural Transitions) an modified for KCC 2020 Sensing tutorial.
• You can download original dataset from the HAPT website (for details of the dataset, see HAPT dataset website).

load_all

• To download dataset of entire users, use 'load_all().'

• For example:

from KCC2020_HAR_dataset import load_all

entire_datase = load_all()

• It automatically removes any part of data that has no labels.

• To obtain data with the removal, please use 'load_all(remove_no_lavels = False).'

load_by_user

• To download dataset of a specific user, use 'load_by_user(uid).'

• It returns pandas's DataFrame that contains the dataset of the specific user with given uid.

• There is 30 users; it returns 'None' if uid is greater than 30.

• For example:

from KCC2020_HAR_dataset import load_by_user

user1_datasett = load_by_user(1)

• It automatically removes any part of data that has no labels.

• To obtain data with the removal, please use 'load_by_user(uid, remove_no_lavels = False).'