CoolFace
Datasetpublic

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
2likes182downloads
8 commits on main
578af745y ago

Update README.md

DiFronzo
09001d25y ago

Update README.md

DiFronzo
7877e165y ago

Update README.md

DiFronzo
38669b95y ago

Update README.md

DiFronzo
926845a5y ago

Upload raw_data.zip with git-lfs

DiFronzo
a2814545y ago

Create README.md

DiFronzo
f01dbba5y ago

Update README.md

system
e08a4695y ago

initial commit

system