HAND GESTURE DETECTION AND RECOGNITION FOR STROKE PATIENTS USING MACHINE LEARNING

Authors

  • Sania B-tech IT Scholar PSIT
  • Utkarsh Mishra B-tech IT Scholar PSIT

Keywords:

Machine Learning, Hand Gestures, Stroke Patients

Abstract

Gestures are the motion of the body or physical action form by the user in order to convey some meaningful information. The proposed system is used to detect and recognize the hand gestures which are especially designed for stroke patients. It uses the webcam to detect gesture made by the user and perform basic operations accordingly. The user has to perform a particular gesture and webcam captures this and identifies the gesture, recognizes it (against a set of known gestures) and performs the action corresponding to it[1].

Keywords: Machine Learning, Hand Gestures, Stroke Patients

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Published

2021-04-30

How to Cite

Sania, & Mishra, U. . (2021). HAND GESTURE DETECTION AND RECOGNITION FOR STROKE PATIENTS USING MACHINE LEARNING. International Journal of Engineering Technology and Computer Research, 9(2). Retrieved from https://ijetcr.org/index.php/ijetcr/article/view/520

Issue

Vol. 9 No. 2 (2021)

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Creative Commons LicenseInternational Journal of Engineering Technology and Computer Research (IJETCR) by Articles is licensed under a Creative Commons Attribution 4.0 International License.