Hand Motion Trajectory Analysis for Dynamic Hand Gestures Used in Indian Sign Language Journal Article


Author(s): Daleesha M. Viswanathan; Sumam Mary Idicula
Article Title: Hand Motion Trajectory Analysis for Dynamic Hand Gestures Used in Indian Sign Language
Abstract: Dynamic hand gestures are an intrinsic component in sign language communication. Extracting spatial temporal features of the hand gesture trajectory plays an important role in a dynamic gesture recognition system. Finding a discrete feature descriptor for the motion trajectory based on the orientation feature is the main concern of this paper. Kalman filter algorithm and Hidden Markov Models (HMM) models are incorporated with this recognition system for hand trajectory tracking and for spatial temporal classification, respectively
Keywords: orientation features, discrete feature vector, HMM., Indian sign language
Journal Title: International Journal of Computer and Information Engineering
Volume: 2
Issue: 8
Publisher: World Academy of Science, Engineering and Technology  
Date Published: 2015
Language: English