A Vision Based Method to Distinguish and Recognize Static and Dynamic Gesture

Intelligent visual mouse system based on hand pose trajectory recognition in video sequences

“…From this standpoint, Zhao et al [8] introduced a vision-based system, by which both dynamic and static gesture can be interpreted. Their work is based on Haar-like [19] features and ada boost [20] classifier.…”

“…The former is for the recognition of a particular type of hand pose in an image or in a video sequence while the hand has remained immobile for a period of time. The latter focuses on the hand position in an image sequence and determines the meaning of gesture by analyzing different hand poses in frames sequence [8]. Dynamic gesture contains spatiotemporal information of a static gesture sequence.…”

Fast marching method and modified features fusion in enhanced dynamic hand gesture segmentation and detection method under complicated background

“…This trend has become even more famous with the development in daily technology and intelligent computing (Simões et al 2015). Basically, hand gesture recognition is separated into two categories; data-gloves based approaches (Oz and Leu 2011;De Marsico et al 2014) and computervision based approaches (Zhao et al 2012). The first type of approaches relies on extra hardware sensors linked to hand region to identify hand shape and trajectories, thus providing hand and fingers locations.…”