8 datasets found

The dataset used for activity recognition using wearable sensors.

The dataset used in this study is a publicly available dataset of upper extremity kinematics from stroke survivors and healthy controls.

Gait analysis dataset using inertial and film-pressure sensors

PAMAP2: Physiological Activity Monitoring in Ambulatory Settings Dataset

HHAR: Heterogeneous Human Activity Recognition Dataset

The WISDM activity recognition dataset consists of 36 users performing 6 activities.

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...

Wearable Human Activity Recognition (WHAR) models usually face performance degradation on the new user due to user variance. Unsupervised domain adaptation (UDA) becomes the...