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Real-time Sign Language Fingerspelling Recognition using Convolutional
  Neural Networks from Depth map

Real-time Sign Language Fingerspelling Recognition using Convolutional Neural Networks from Depth map

10 September 2015
Byeongkeun Kang
Subarna Tripathi
Truong Thao Nguyen
    SLR
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Papers citing "Real-time Sign Language Fingerspelling Recognition using Convolutional Neural Networks from Depth map"

4 / 4 papers shown
Title
Enhancing Sign Language Detection through Mediapipe and Convolutional
  Neural Networks (CNN)
Enhancing Sign Language Detection through Mediapipe and Convolutional Neural Networks (CNN)
Aditya Raj Verma
Gagandeep Singh
Karnim Meghwal
Banawath Ramji
P. Dadheech
36
5
0
06 Jun 2024
BdSpell: A YOLO-based Real-time Finger Spelling System for Bangla Sign
  Language
BdSpell: A YOLO-based Real-time Finger Spelling System for Bangla Sign Language
Naimul Haque
Meraj Serker
Tariq Bin Bashar
21
0
0
24 Sep 2023
DenseAttentionSeg: Segment Hands from Interacted Objects Using Depth
  Input
DenseAttentionSeg: Segment Hands from Interacted Objects Using Depth Input
Zihao Bo
Hang Zhang
Jun-hai Yong
F. Xu
27
11
0
29 Mar 2019
Random Forest with Learned Representations for Semantic Segmentation
Random Forest with Learned Representations for Semantic Segmentation
Byeongkeun Kang
Truong Thao Nguyen
28
30
0
23 Jan 2019
1