Skeleton

KSU-ArSL was developed by the Center of Smart Robotics Research at King Saud University (KSU) in conjunction with the Higher Education Program for the Deaf and Hard of Hearing. The dataset consists of 80 classes (belonging to 80 signs) recorded by 40 healthy subjects using three cameras (one RGB and two Microsoft Kinect cameras). Each subject repeated each sign 5 times in five separate sessions at the same day. As a result, there are 200 video samples per class, 16000 samples in total per camera.

Categories:
1743 Views

The video data set was obtained from the Mental Health Center of Renmin Hospital of Wuhan University, it includes 128 children and the video records the behavior of each subject (mainly upper body movements) during clinical intelligence evaluation. The ratio of training set, validation set and test set is 7:1:2.

Categories:
227 Views

The video data set was obtained from the Mental Health Center of Renmin Hospital of Wuhan University, it includes 128 children and the video records the behavior of each subject (mainly upper body movements) during clinical intelligence evaluation. The ratio of training set, validation set and test set is 7:1:2.

Categories:
110 Views

Skeleton datasets for Normal, Antalgic, Stiff legged, Lurching, Steppage, and Trendelenburg gaits.

Categories:
1215 Views