Voice Assistance for Dumb People Based on Hand Gestures

Authors

  • Srikanth M S  Assistant Professor, Department of Information Science and Engineering, Nagarjuna College of Engineering and Technology, Bangalore, India
  • Dr. Jitendranath Mungara  Principal & Prof, Department of Computer Science and Engineering, Nagarjuna College of Engineering and Technology, Bangalore, India
  • Shivani Singh S  B.E Student, Department of Information Science and Engineering, Nagarjuna College of Engineering and Technology, Bangalore, India
  • S Pavani  B.E Student, Department of Information Science and Engineering, Nagarjuna College of Engineering and Technology, Bangalore, India
  • Charitha B N  B.E Student, Department of Information Science and Engineering, Nagarjuna College of Engineering and Technology, Bangalore, India
  • Anusha S  B.E Student, Department of Information Science and Engineering, Nagarjuna College of Engineering and Technology, Bangalore, India

Keywords:

Voice Assistance, Communicate, Speech Recognition, Hand Gestures, Flex Sensor, Indian Sign Language

Abstract

It could be very tough for dumb human beings to deliver their message to regular human beings. Since normal human beings aren't educated accessible signal language, the verbal exchange turns into very tough. When a dumb individual journeying or amongst new human beings verbal exchange with close by human beings turns into very tough The number one intention of this paper is to introduce a problem to successfully translate language gestures to each textual content and sensibility voice. The device uses a hand movement analyzing device geared up with movement and flex sensors together with a PC unit. The device includes numerous saved messages like "want assist", "in which is the washroom" and so forth that assist dumb human beings to deliver simple messages. The device reads folk's hand motions for specific versions of hand movement. The laptop/PC continuously gets enter sensor values after which strategies it. Now it searches for matching messages for the set of sensor values. Once it's miles observed in reminiscence this message is retrieved and is spoken out through the usage of textual content to speech processing thru the interfaced speaker. The message may be spoken out in specific languages relying on the languages regarded via way of means of a normal individual. It speaks out in four Indian languages one after the other till the specific language is desired via the way of means of the normal individual. Thus, we have a voice assistant device to assist dumb human beings to talk with normal human beings with the usage of an easy wearable tool.

References

  1. G. Eason, B. Noble, and I. N. Sneddon, "On certain integrals of Lipschitz-Hankel type involving products of Bessel functions," Phil. Trans. Roy. Soc. London, vol. A247, pp. 529–551, April 1955. (references)
  2. J. Clerk Maxwell, A Treatise on Electricity and Magnetism, 3rd ed., vol. 2. Oxford: Clarendon, 1892, pp.68–73.
  3. I. S. Jacobs and C. P. Bean, "Fine particles, thin films, and exchange anisotropy," in Magnetism, vol. III, G. T. Rado, and H. Suhl, Eds. New York: Academic, 1963, pp. 271–350.
  4. R. Nicole, "Title of paper with the only first word capitalized," J. Name Stand. Abbrev., in press.
  5. Y. Yorozu, M. Hirano, K. Oka, and Y. Tagawa, "Electron spectroscopy studies on magneto-optical media and plastic substrate interface," IEEE Trans. J. Magn. Japan, vol. 2, pp. 740–741, August 1987 Digests 9th Annual Conf. Magnetics Japan, p. 301, 1982].
  6. M. Young, The Technical Writer's Handbook. Mill Valley, CA: University Science, 1989.
  7. Mrs. Anisha Rebinth & Dr.S. Mohan Kumar “Importance of Manual Image Annotation Tools and Free Datasets for Medical Research” in a Scopus Indexed Journal of Advanced Research in Dynamical and Control Systems, Vol 11-01 Special Issue, 2019.Pp 1168-1176.
  8. Mrs. Anisha Rebinth & Dr.S. Mohan Kumar“A Deep Learning Approach to Computer Aided Glaucoma Diagnosis”, IEEEXplore, Electronic ISBN 978-1-5386-9482-4, Print on Demand (PoD) ISBN: 978-1-5386-9483-1
  9. Mrs. Anisha Rebinth & Dr.S. Mohan Kumar, “Automated Segmentation of Retinal Images: A Review “in the Scopus indexed journal “Journal of Advanced research In Dynamical and Control System”, Vol 10,05-Special Issue, Pg. no 1880-1885,2018.
  10. Mrs. Anisha Rebinth & Dr.S. Mohan Kumar,“Glaucomatous Image Classification CAD System Using Adaptive Wavelets, Probabilistic PCA and Random Forest Techniques Machine Learning Model” in International Journal of Innovation in Engineering Research and Management, Vol-6, Special Issue-06,2019.
  11. Mrs. Anisha Rebinth & Dr.S. Mohan Kumar, “Wavelet Packet Transform Based Image Classification for Computer Aided Glaucoma Diagnosis Using Naïve Bayes Classifier”, published in “Communication Software and Networks Proceedings” of INDIA 2019,Part of the Lecture Notes in Networks and Systems book series (LNNS, volume 134), pg.no 597-605.

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Published

2021-06-30

Issue

Section

Research Articles

How to Cite

[1]
Srikanth M S, Dr. Jitendranath Mungara, Shivani Singh S, S Pavani, Charitha B N, Anusha S "Voice Assistance for Dumb People Based on Hand Gestures" International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011,Volume 8, Issue 3, pp.172-176, May-June-2021.