The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
As a certain case in the domain of human actions, hand gestures can be expressed by the motion of user's hand to provide nature interaction in many applications. In this paper we proposed a real-time hand gesture recognition system based on robust hand tracking from depth image sequences. Using hidden markov models (HMM) with varying states, gesture models are trained online along with user's feedback,...
In this paper we propose a novel approach for geometric shape classification by using shape simplification and discrete Hidden Markov Model (HMM). The HMM is constructed using the landmark points obtained from the shape simplification for each shape image in the dataset. Some useful strategies have been employed for the constructed HMM for geometric shape classification. Experimental results based...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.