Human Activity Recognition (HAR) dataset

doi:doi:10.57702/7dq42w0w

Human Activity Recognition (HAR) dataset

The dataset used in this paper is a multiclass classiﬁcation task where the goal is to correctly predict which of the 7 activities is being performed by the user. The information about the position of the smartphone will be used later to simulate concept drifts.

BibTex:

@dataset{D_Anguita_and_A_Ghio_and_L_Oneto_and_X_Parra_and_J_L_Reyes-Ortiz_2024,
    abstract = {The dataset used in this paper is a multiclass classiﬁcation task where the goal is to correctly predict which of the 7 activities is being performed by the user. The information about the position of the smartphone will be used later to simulate concept drifts.},
    author = {D. Anguita and A. Ghio and L. Oneto and X. Parra and J. L. Reyes-Ortiz},
    doi = {10.57702/7dq42w0w},
    institution = {No Organization},
    keyword = {'Activity Recognition', 'Concept Drift', 'HAR dataset', 'Human Activity Recognition', 'Human activity recognition', 'Human-Computer Interaction', 'Machine learning', 'Smartphone Data', 'accelerometer', 'gyroscope', 'human activity recognition', 'wearable sensors'},
    month = {dec},
    publisher = {TIB},
    title = {Human Activity Recognition (HAR) dataset},
    url = {https://service.tib.eu/ldmservice/dataset/human-activity-recognition--har--dataset},
    year = {2024}
}