CoolFace
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DiFronzo/Human_Activity_Recognition

Human Activity Recognition (HAR) using smartphones dataset. Classifying the type of movement amongst five categories: WALKING, WALKING_UPSTAIRS, WALKING_DOWNSTAIRS, SITTING, STANDING The experiments have been carried out with a group of 16 volunteers within an age bracket of 19-26 years. Each person performed five activities (WALKING, WALKING_UPSTAIRS, WALKING_DOWNSTAIRS, SITTING, STANDING) wearing a smartphone (Samsung Galaxy S8) in the pucket. Using its embedded accelerometer and gyroscope… See the full description on the dataset page: https://huggingface.co/datasets/DiFronzo/Human_Activity_Recognition.

sourceHugging Faceupdated 5y agoView on Hugging Face
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fileraw_data.zip7.2 MBdownload

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