9 datasets found

IMU2Face: Real-time Gesture-driven Facial Reenactment

The dataset used in this paper for sEMG gesture recognition with a simple model of attention.

The dataset used in this paper for sEMG gesture recognition with a simple model of attention.

The dataset contains 900 image-sets of 9 gesture classes with large intra-class variations.

Motion recognition is a promising direction in computer vision, but the training of video classification models is much harder than images due to insufficient data and...

RGB-D action and gesture recognition remains an interesting topic in human-centered scene understanding, primarily due to the multiple granularities and large variation in human...

The dataset used in the paper is DVSGesture, a dataset of 1,342 instances of 11 hand and arm gestures.

Human gesture recognition has drawn much attention in the area of computer vision. However, the performance of gesture recognition is always influenced by some...

Human gesture recognition has drawn much attention in the area of computer vision. However, the performance of gesture recognition is always influenced by some...