A novel static and dynamic hand gesture recognition using self organizing map with deep convolutional neural network

A novel static and dynamic hand gesture recognition using self organizing map with deep convolutional neural network

Gesture recognition has gained a lot of popularity as it allows humans to communicate with real or virtual systems through gestures, offering new and natural interaction modalities. Recent technologies, such as augmented reality (AR) and the Internet of Things (IoT), have witnessed enormous growth i...

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Bibliographic Details
Main Authors: K. Harini, S. Uma Maheswari
Format: Article
Language:English
Published: Taylor & Francis Group 2023-10-01
Series:Automatika
Subjects:
hand gesture recognition
human–computer interaction
hessian-based multiscale filtering
modified marker-controlled watershed algorithm
eight-connected filling algorithm
SOM-based deep convolutional neural network
Online Access:https://www.tandfonline.com/doi/10.1080/00051144.2023.2251229

Internet

https://www.tandfonline.com/doi/10.1080/00051144.2023.2251229

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