Gesture Technology for Deaf and Dumb
LITHIN C T
, BALARAJU K B , NANJUNDESHWARA B L , MAHESH ASHOK MANKAR , PAVAN KUMAR E
Gesture, Speech recognition, Computer vision.
This paper is to perceive different hand motion and order different hand developments used to ease correspondence of hard of hearing and dumb. The hand development for signal recognition can be static or dynamic. The hand motion are caught utilizing a camera, the perceived hand motion are handled utilizing different available algorithms, for example, multivariate fluffy choice tree, hidden Markav model (HMM), support vector machine (SVM) . The motions are caught under legitimate illumination. The caught motion are checked for occlution and finger close motion to distinguish and perceive legitimate motion and disregard some other discontinuous motion . At last, the characterized motions are contrasted with preparing and testing dataset with test yield. This paper is additionally gone for giving discourse to content conversion, speech is the essential method for correspondence, incase of hard of hearing, where it is hard to analyze lip reading. The sound information is taken from microphone and is compared with the google dataset. The coordinated outcome is shown as content output on the display.
"Gesture Technology for Deaf and Dumb", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.3, Issue 5, page no.500 - 505, May-2018, Available :https://ijsdr.org/papers/IJSDR1805073.pdf
Volume 3
Issue 5,
May-2018
Pages : 500 - 505
Paper Reg. ID: IJSDR_180295
Published Paper Id: IJSDR1805073
Downloads: 000347384
Research Area: Engineering
Country: BENGALURU, KARNATAKA, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave