Implementation of Hand Sign Recognition for Non-Linear Dimensionality Reduction based on PCA | Zendy

Shilpa Sharma | Zendy; Rachna Manchanda | Zendy

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

Author(s) -

Shilpa Sharma,

Rachna Manchanda

Publication year - 2017

Publication title -

international journal of image graphics and signal processing

Language(s) - English

Resource type - Journals

eISSN - 2074-9082

pISSN - 2074-9074

DOI - 10.5815/ijigsp.2017.02.05

Subject(s) - gesture , sign language , gesture recognition , computer science , sign (mathematics) , speech recognition , reduction (mathematics) , motion (physics) , grammar , artificial intelligence , interpretation (philosophy) , linguistics , mathematics , programming language , mathematical analysis , geometry , philosophy

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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