Joint Motion Affinity Maps (JMAM) and Their Impact on Deep Learning Models for 3D Sign Language Recognition (vol 12, pg 11258, 2024)

被引：0

作者：

Kishore, P. V. V. ^{[1
]}

Kumar, D. Anil ^{[2
]}

Tanguturi, Rama Chaithanya ^{[3
]}

Srinivasarao, K. ^{[4
]}

Kumar, P. Praveen ^{[5
]}

Srihari, D. ^{[6
]}

机构：

[1] Koneru Lakshmaiah Educ Fdn Univ, Biomech & Vis Comp Res Ctr, Dept Elect & Commun Engn, Guntur 522502, India

[2] PACE Inst Technol & Sci, Dept Elect & Commun Engn, Ongole 523272, India

[3] PACE Inst Technol & Sci, Dept Comp Sci & Engn, Ongole 523272, India

[4] Dhanekula Inst Engn & Technol, Dept Elect & Commun Engn, Vijayawada 521139, Andhra Pradesh, India

[5] Vignans Inst Informat Technol, Dept Informat Technol, Duvvada 530049, Visakhapatnam, India

[6] Sri Venkateswara Coll Engn & Technol, Dept Elect & Commun Engn, Chittoor 517127, India

来源：

IEEE ACCESS | 2024年 / 12卷

关键词：

Deep learning; Solid modeling; Sign language; Three-dimensional displays;

D O I：

10.1109/ACCESS.2024.3486412

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

引用

页码：162929 / 162929

页数：1

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