10 datasets found

The dataset used in the MHDeep framework, containing physiological signals and ambient information collected from wearable medical sensors.

The dataset used in the MHDeep framework, containing physiological signals and ambient information collected from wearable medical sensors.

Human Activity Recognition (HAR) from wearable sensor data identifies movements or activities in unconstrained environments.

Gait analysis dataset using inertial and film-pressure sensors

PAMAP2: Physiological Activity Monitoring in Ambulatory Settings Dataset

HHAR: Heterogeneous Human Activity Recognition Dataset

The dataset consists of six activities performed by 29 subjects. These activities include walking, upstairs, downstairs, jogging, upstairs, and standing.

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...

USC-HAD: a daily activity dataset for ubiquitous activity recognition using wearable sensors.

Human activity recognition (HAR) is an important research field in ubiquitous computing where the acquisition of large-scale labeled sensor data is tedious, labor-intensive and...