Video camera-based dynamic gesture recognition for HCI

This paper presents a small HCI (human computer interaction) system whose input and output is given via visual gesturing through a panoramic image viewer. The spatial-temporal features of gesturing are extracted by motion-based segmentation and used for recognition with dynamic time warping (DTW). Gesture commands are used to navigate in the image-based virtual environment. The gesture classes consist of 12 kinds of dynamic gestures as 6 translations and 6 rotations along the 3 coordinate axes respectively.