Gesture Classification Using Machine Learning Approach
Journal: International Journal of Mechanical and Production Engineering Research and Development (IJMPERD ) (Vol.10, No. 3)Publication Date: 2020-06-30
Authors : Ketki P. Kshirsagar Rajeshree Rokade;
Page : 13435-13440
Keywords : Activation Function; Convolution Neural Network; Hand Gesture; Classification;
Abstract
Gesture classification is vital role to convey information between communications. Classification shows correct path for predict correct communication. Machine learning provide automated improved algorithm in the set of artificial intelligence. In this paper, we proposed machine learning classification approach for hand gesture recognition. In classification system classify the hand gesture images with better accuracy. Proposed system also differentiates different activation functions for non linear transformation of hand gestures as input to complex tasks. Proposed system compares and classifies dataset using convolutionneural network algorithm using different activation functions.
Other Latest Articles
- A Review on Vibration Analysis of Rotor Shaft System by Various Fault Diagnosis Techniques
- Cfd Simulation and Taguchi Optimizationoof Triangular Fin Microchannel Heat Exchanger
- Credit Analysis of the Banking Sector
- Investigation of the Stress Concentration in Metallic Plates with Special Shaped Cutout and Bluntness
- Microstructure and Mechanical Behavior of Al-Sb Based Alloys by Rapid Solidification Technology
Last modified: 2020-10-01 14:12:51