Deep Learning Model for Dynamic Hand Gesture Recognition for Natural Human-Machine Interface on End Devices

Tsui-Ping Chang, Hung-Ming Chen, Shih-Ying Chen and Wei-Cheng Lin
Additional contact information
Tsui-Ping Chang: National Taichung University of Science and Technology, Taiwan
Hung-Ming Chen: National Taichung University of Science and Technology, Taiwan
Shih-Ying Chen: National Taichung University of Science and Technology, Taiwan
Wei-Cheng Lin: National Taichung University of Science and Technology, Taiwan

International Journal of Information System Modeling and Design (IJISMD), 2022, vol. 13, issue 10, 1-23

Abstract: As end devices have become ubiquitous in daily life, the use of natural human-machine interfaces has become an important topic. Many researchers have proposed the frameworks to improve the performance of dynamic hand gesture recognition. Some CNN models are widely used to increase the accuracy of dynamic hand gesture recognition. However, most CNN models are not suitable for end devices. This is because image frames are captured continuously and result in lower hand gesture recognition accuracy. In addition, the trained models need to be efficiently deployed on end devices. To solve the problems, the study proposes a dynamic hand gesture recognition framework on end devices. The authors provide a method (i.e., ModelOps) to deploy the trained model on end devices, by building an edge computing architecture using Kubernetes. The research provides developers with a real-time gesture recognition component. The experimental results show that the framework is suitable on end devices.

Date: 2022
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJISMD.306636 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igg:jismd0:v:13:y:2022:i:10:p:1-23

Access Statistics for this article

International Journal of Information System Modeling and Design (IJISMD) is currently edited by Thierry O. C. Edoh

More articles in International Journal of Information System Modeling and Design (IJISMD) from IGI Global
Bibliographic data for series maintained by Journal Editor ().