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CMU Motion Capture Database
The dataset used for training and testing the model consists of 3D walking motion capture data of three different participants. The data is edited to form a continuous cycle... -
Human Leg Motion Tracking by Fusing IMUs and RGB Camera Data Using Extended K...
Human leg motion tracking by fusing IMUs and RGB camera data using Extended Kalman Filter -
AMASS Dataset
The dataset used in this paper for self-avatar animation in virtual reality. -
KIT Motion Language (KIT-ML)
KIT Motion Language (KIT-ML) is a dataset containing 3,911 unique human motion sequences and 6,278 individual text annotations. -
MAX Robot Motion Dataset
The dataset used in the paper is a collection of motion data for the MAX robot, including walking, running, jumping, and sitting motions. -
Interpretable VAEs for nonlinear group factor analysis
Motion capture and magnetoencephalography datasets for evaluating the output interpretable VAE -
Human3.6M dataset
The Human3.6M dataset is a large-scale dataset for 3D human pose estimation in videos. It consists of 3.6 million frames captured by four 50 Hz cameras. -
KIT Motion Language dataset
The KIT Motion Language dataset provides 3911 motion sequences and 6353 sequence-level natural language descriptions. -
Motion capture data
Motion capture data from the CMU Motion Capture database. -
Pettee's keypoint dataset
A dance dataset with 36,356 sliding sequences of 40 continuous poses, manually labeled with Laban Time Efforts (Low, Medium, High) -
HumanAct12
HumanAct12 dataset is a large-scale 3D human motion dataset with textual descriptions. -
BABEL dataset
The dataset used in this paper is the BABEL dataset, which contains 10881 motion sequences, with 65926 subsequences and the corresponding textual labels.