Constarium
← Search

Text · dataset · 2022

DiFronzo/Human_Activity_Recognition

Listed in Hugging Face Datasets

Human Activity Recognition (HAR) using smartphones dataset.

Description

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: huggingface.co/datasets/DiFronzo/Human_Activity_Recognition.

Links

Topics

Stated by source
text
Provenance · 1 source records, 8 field assertions
SourceKeyLast seenRaw
Hugging Face DatasetsDiFronzo/Human_Activity_Recognition14 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · Hugging Faceconnector:huggingface@1.0.0/gated
concepts[field].local:field:computer-science-aimapping · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].hf_modality:textsource · Hugging Faceconnector:huggingface@1.0.0
created_datesource · Hugging Faceconnector:huggingface@1.0.0
descriptionsource · Hugging Faceconnector:huggingface@1.0.0/description
publication_datesource · Hugging Faceconnector:huggingface@1.0.0
titlesource · Hugging Faceconnector:huggingface@1.0.0/id
updated_datesource · Hugging Faceconnector:huggingface@1.0.0