5 datasets found

The dataset used in the paper is a video-based activity recognition dataset, consisting of 90 video sequences spanning three scenarios: SHORT MEAL, HAVE SNACK and NORMAL MEAL.

The Human Activity Recognition dataset contains data gathered from accelerometers and gyroscopes of cell phones from 30 individuals performing six different activities including...

The HAR dataset is a collection of physiological signals from human subjects.

The WESAD dataset is a collection of physiological signals recorded from participants while they perform various activities.

The KTH dataset consists of videos of 25 people performing different activities.