แจ้งเอกสารไม่ครบถ้วน, ไม่ตรงกับชื่อเรื่อง หรือมีข้อผิดพลาดเกี่ยวกับเอกสาร ติดต่อที่นี่ ==>
หากไม่มีอีเมลผู้รับให้กรอก thailis-noc@uni.net.th
หากไม่มีอีเมลผู้รับให้กรอก thailis-noc@uni.net.th
Peerasak Chantagram. Deep multimodal-based recognition of Thai finger spelling with two-handed postures. (). King Mongkut's University of Technology North Bangkok. Central Library. : , 2024.
Deep multimodal-based recognition of Thai finger spelling with two-handed postures
Name: Wuttichai Vijitkunsawat
Organization :
Rajamagala University of Technology Krungthep. Electronics and Telecommunication Engineering
Email :
wuttichai.v@mail.rmutk.ac.th
Name: Peerasak Chantagram
Organization :
Rajamagala University of Technology Krungthep. Electronics and Telecommunication Engineering
Email :
cpeerasak@mail.rmutk.ac.th
keyword:
Hand gestures
LCSH:
Thai Sign Language
LCSH:
Finger spelling
LCSH:
Machine learning
Abstract:
Video-based recognition of sign language is essential
in improving communication and access for individuals who
are deaf or have hearing impairments. The sign language
encompasses two primary categories: single-hand and two-hand
signs. Two-hand Thai sign language poses learning and communication
challenges, including the difficulty of mastering hand
coordination and the complexity in interpreting these gestures,
especially by automated systems, leading to potential misunderstandings.
To overcome this challenge, this paper presents
a new novel large video dataset for two-hand poses of Thai
Finger Spelling. Moreover, we propose the multimodal technique
for RGB-sequencing-based modality on CNN-LSTM and VGGLSTM
models and the graph structure on skeleton modality
using Temporal Graph Convolution Network (TGCN) under two
scenarios: (1) static point-on-hand poses and (2) dynamic pointon-
hand poses. Our result shows that the single modality is
unsuitable for two-hand poses due to hand obstructions, which
stem from insufficient coordinate sequence data or lack of feature
extraction in the vision modality. To improve the accuracy and
performance of two-hand postures, the study suggests combining
RGB-sequencing with the vision modality and graph structure
with the skeleton modality
King Mongkut's University of Technology North Bangkok. Central Library
Address:
BANGKOK
Email:
library@kmutnb.ac.th
Created:
2024
Modified:
2025-02-06
Issued:
2025-02-06
บทความ/Article
application/pdf
BibliograpyCitation :
In Rajamangala University of Technology Krungthep. 12th International Electrical Engineering Congress (iEECON 2024) (pp.753-758). Bangkok : Rajamangala University of Technology Krungthep
eng
©copyrights King Mongkut's University of Technology North Bangkok
RightsAccess:
ใช้เวลา
0.023705 วินาที
Wuttichai Vijitkunsawat
| Title | Contributor | Type |
|---|---|---|
| Comparing the coordinate-sequencing for human's joints models on Thai finger spelling
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Wuttichai Vijitkunsawat;Peerasak Chantagram | บทความ/Article | |
| Deep multimodal-based recognition of Thai finger spelling with two-handed postures
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Wuttichai Vijitkunsawat;Peerasak Chantagram | บทความ/Article | |
| An efficient Thai sign language recognition system using CNN-based transfer learning models
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Wuttichai Vijitkunsawat;Peerasak Chantngarm;Pramote Anunvrapong;Mondheera Pituxcoosuvarn | บทความ/Article | |
| Multimodal fusion for Thai sign language recognition: integrating RGB-Based CNN and landmark-based features for enhanced gesture recognition
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Wuttichai Vijitkunsawat ;Anan Sopin;Anusorn Sathusen | บทความ/Article |
Peerasak Chantagram
| Title | Contributor | Type |
|---|---|---|
| Comparing the coordinate-sequencing for human's joints models on Thai finger spelling
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Wuttichai Vijitkunsawat;Peerasak Chantagram | บทความ/Article | |
| Deep multimodal-based recognition of Thai finger spelling with two-handed postures
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Wuttichai Vijitkunsawat;Peerasak Chantagram | บทความ/Article |