Gesture recognition using hmm

Prabhu , Srikanth and Banerjee, R N and Ray, A K and Giridhar, N S and Subbareddy , NV and Prema, KV (2005) Gesture recognition using hmm. In: National Conference on Devices, Intelligent Systems and Communications, 2005, Electronics and Communication Engineering Department, MIT, Manipal.

[img] PDF
P-197.pdf - Published Version
Restricted to Registered users only

Download (174kB) | Request a copy


We propose a technique for direct visual matching of images for the purposes of Gesture Recognition and image retrieval using HMM (Hidden Markov Model)[1]. A Hidden Markov Model (HMM) is a statistical model where the system being modelled is assumed to be a Markov process with unknown parameters, and the challenge is to determine the hidden parameters, from the observable parameters, based on this assumption. The extracted model parameters can then be used to perform further analysis, for example, for Gesture Recognition [2] applications.

Item Type: Conference or Workshop Item (Paper)
Subjects: Engineering > MIT Manipal > Computer Science and Engineering
Engineering > MIT Manipal > Electronics and Communication
Depositing User: MIT Library
Date Deposited: 19 Jan 2015 11:29
Last Modified: 19 Jan 2015 11:29

Actions (login required)

View Item View Item