Rachna Manchanda

Work place: CEC Landran, Mohali/ECE Dept, Chandigarh, 140307, India

E-mail: Rachna.ece@cgc.edu.in

Website:

Research Interests: Engineering, Computational Engineering, Computational Science and Engineering

Biography

Ms. Rachna Manchanda is an associate professor in ECE Dept. at Chandigarh Engineering College Landran, Mohali, India. Author provides guidance to Shilpa Sharma in her research work.

Author Articles
Implementation of Hand Sign Recognition for Non-Linear Dimensionality Reduction based on PCA

By Shilpa Sharma Rachna Manchanda

DOI: https://doi.org/10.5815/ijigsp.2017.02.05, Pub. Date: 8 Feb. 2017

Hand Sign or gesture recognition is the way of communication for hearing and speech impaired people. Gestures are formed from motion of body or state but commonly initiate from the hand and face. Speech and gestures are the expressions; these are the communication medium between human beings. Hand gesture is movement or motion of human hand. Gesture recognition is mathematical interpretation of human hand by using computing devices. There are different sign languages used in all over world and have its own grammar structure. Even in India has different languages used in every state, sign languages has little difference in contra dictionary region. Hand sign recognition is used for robot control applications and sign language interpretation. 

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