On Hand Gestures Recognition Using Hidden Markov Models

3D Hand Motion Evaluation Using HMM

Gesture and motion recognition are needed for a variety of applications. The use of human hand motions as a natural interface tool has motivated researchers to conduct research in the modeling, analysis and recognition of various hand movements. In particular, human-computer intelligent interaction has been a focus of research in vision-based gesture recognition. In this work, we introduce a 3-...

Hand Gesture Recognition Using Input-Output Hidden Markov Models

A new hand gesture recognition method based on Input– Output Hidden Markov Models is presented. This method deals with the dynamic aspects of gestures. Gestures are extracted from a sequence of video images by tracking the skin–color blobs corresponding to the hand into a body– face space centered on the face of the user. Our goal is to recognize two classes of gestures: deictic and symbolic.

Accurate Recognition of Large Number of Hand Gestures

A hierarchical gesture recognition algorithm is introduced to recognise a large number of gestures. Three stages of the proposed algorithm are based on a new hand tracking technique to recognise the actual beginning of a gesture using a Kalman filtering process, hidden Markov models and graph matching. Processing time is important in working with large databases. Therefore, special cares are ta...

Dynamic Gesture Recognition using Transformation Invariant Hand Shape Recognition

In this thesis a detailed framework is presented for accurate real time gesture recognition. Our approach to develop a hand-shape classifier, trained using computer animation, along with its application in dynamic gesture recognition is described. The system developed operates in real time and provides accurate gesture recognition. It operates using a single low resolution camera and operates i...

Online Visual Recognition of Dynamic Gestures Using Dynamic Bayesian Networks

Gestures are a natural and effective altenative to command mobile robots. This paper describes an online visual recognition system to recognize a set of 5 dynamic gestures executed with the user’s right hand and oriented to command mobile robots. The system employs a radial scan segmentation algorithm combined with a statistical-based skin detection method to find the candidate face of the user...

Speaker Independent Speech Recognition Using Hidden Markov Models for Persian Isolated Words