Small Deep Learning Models for Hand Gesture Recognition

Mohammed, Adam A. Q.; Lv, Jiancheng; Islam, Md. Sajjatul

doi:10.1109/ispa-bdcloud-sustaincom-socialcom48970.2019.00205

2019 IEEE Intl Conf on Parallel &Amp; Distributed Processing With Applications, Big Data &Amp; Cloud Computing, Sustainable Com 2019

DOI: 10.1109/ispa-bdcloud-sustaincom-socialcom48970.2019.00205

|View full text |Cite

Small Deep Learning Models for Hand Gesture Recognition

Adam A. Q. Mohammed

Jiancheng Lv

Md. Sajjatul Islam

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2022

Publication Types

Select...

Article2

Relationship

Self Cite0

Independent2

Authors

Journals

Cited by 2 publications

(1 citation statement)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The "Vocabulary" module provides the generation of verbal constructions to translate into sign language. Within the framework of the developed information system, open Natural Learning Processing technologies are used (Elakkiya et al, 2021;Mohammed et al, 2019). In fact, this module is an "adapter" that allows receiving data from external sources for further use by other modules of the system.…”

mentioning

confidence: 99%

Information System for Learning Control in Teaching Russian Sign Language: Process and Data Modeling

Logachev¹,

Chernova²,

Laamarti³

et al. 2022

INT J INSTRUCTION

View full text Add to dashboard Cite

The article describes project of the information system to control the teaching of Russian sign language. The aim of the conducted study is to consolidate existing algorithms and software tools to ensure the integrity, and objectivity in the implementation of professional training of specialists in the field of Russian sign language. The authors conducted a study of specialized sources in order to highlight the features of the subject area for the implementation of design processes. With the employment of structural analysis methods, a formal data model is obtained that describes the concept of a database that provides data storage and processing necessary for the full-scale operation of the information system. Using a combination of methods of structural analysis and object-oriented design, a model of the process of user interaction with the designed information system is obtained. The advantage of such a model is the selection of data objects necessary for the implementation of each stage of the process, as well as the objects obtained and available after their execution. All users of the system are classified according to the principle of data availability. The results obtained at the project stage in the future are the basis for the development of the corresponding software product.

show abstract

mentioning

confidence: 99%

Information System for Learning Control in Teaching Russian Sign Language: Process and Data Modeling

Logachev¹,

Chernova²,

Laamarti³

et al. 2022

INT J INSTRUCTION

View full text Add to dashboard Cite

show abstract

Multi-model ensemble gesture recognition network for high-accuracy dynamic hand gesture recognition

Mohammed

Islam

et al. 2022

J Ambient Intell Human Comput

View full text Add to dashboard Cite

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

hi@scite.ai

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Small Deep Learning Models for Hand Gesture Recognition

Cited by 2 publications

References 22 publications

Information System for Learning Control in Teaching Russian Sign Language: Process and Data Modeling

Information System for Learning Control in Teaching Russian Sign Language: Process and Data Modeling

Multi-model ensemble gesture recognition network for high-accuracy dynamic hand gesture recognition

Contact Info

Product

Resources

About