1 |
Face Biometric Spoof Detection Method Using a Remote Photoplethysmography Signal
|
|
|
|
In: Sensors; Volume 22; Issue 8; Pages: 3070 (2022)
|
|
BASE
|
|
Show details
|
|
2 |
ECG Recurrence Plot-Based Arrhythmia Classification Using Two-Dimensional Deep Residual CNN Features
|
|
|
|
In: Sensors; Volume 22; Issue 4; Pages: 1660 (2022)
|
|
BASE
|
|
Show details
|
|
3 |
Automatic Classification Framework of Tongue Feature Based on Convolutional Neural Networks
|
|
|
|
In: Micromachines; Volume 13; Issue 4; Pages: 501 (2022)
|
|
BASE
|
|
Show details
|
|
4 |
Short Text Aspect-Based Sentiment Analysis Based on CNN + BiGRU
|
|
|
|
In: Applied Sciences; Volume 12; Issue 5; Pages: 2707 (2022)
|
|
BASE
|
|
Show details
|
|
5 |
BenSignNet: Bengali Sign Language Alphabet Recognition Using Concatenated Segmentation and Convolutional Neural Network
|
|
|
|
In: Applied Sciences; Volume 12; Issue 8; Pages: 3933 (2022)
|
|
BASE
|
|
Show details
|
|
6 |
Bangla Sign Language (BdSL) Alphabets and Numerals Classification Using a Deep Learning Model
|
|
|
|
In: Sensors; Volume 22; Issue 2; Pages: 574 (2022)
|
|
Abstract:
A real-time Bangla Sign Language interpreter can enable more than 200 k hearing and speech-impaired people to the mainstream workforce in Bangladesh. Bangla Sign Language (BdSL) recognition and detection is a challenging topic in computer vision and deep learning research because sign language recognition accuracy may vary on the skin tone, hand orientation, and background. This research has used deep machine learning models for accurate and reliable BdSL Alphabets and Numerals using two well-suited and robust datasets. The dataset prepared in this study comprises of the largest image database for BdSL Alphabets and Numerals in order to reduce inter-class similarity while dealing with diverse image data, which comprises various backgrounds and skin tones. The papers compared classification with and without background images to determine the best working model for BdSL Alphabets and Numerals interpretation. The CNN model trained with the images that had a background was found to be more effective than without background. The hand detection portion in the segmentation approach must be more accurate in the hand detection process to boost the overall accuracy in the sign recognition. It was found that ResNet18 performed best with 99.99% accuracy, precision, F1 score, sensitivity, and 100% specificity, which outperforms the works in the literature for BdSL Alphabets and Numerals recognition. This dataset is made publicly available for researchers to support and encourage further research on Bangla Sign Language Interpretation so that the hearing and speech-impaired individuals can benefit from this research.
|
|
Keyword:
alphabets and numerals; bangla sign language; classification; convolutional neural network; semantic segmentation
|
|
URL: https://doi.org/10.3390/s22020574
|
|
BASE
|
|
Hide details
|
|
7 |
TASE: Task-Aware Speech Enhancement for Wake-Up Word Detection in Voice Assistants
|
|
|
|
In: Applied Sciences; Volume 12; Issue 4; Pages: 1974 (2022)
|
|
BASE
|
|
Show details
|
|
8 |
Rethinking the Methods and Algorithms for Inner Speech Decoding and Making Them Reproducible
|
|
|
|
In: NeuroSci; Volume 3; Issue 2; Pages: 226-244 (2022)
|
|
BASE
|
|
Show details
|
|
9 |
Recognition of Grammatical Class of Imagined Words from EEG Signals using Convolutional Neural Network
|
|
|
|
BASE
|
|
Show details
|
|
10 |
Deep Learning Methods for Human Behavior Recognition
|
|
Lu, Jia. - : Auckland University of Technology, 2021
|
|
BASE
|
|
Show details
|
|
11 |
Comparing Encoder-Decoder Architectures for Neural Machine Translation: A Challenge Set Approach ...
|
|
|
|
BASE
|
|
Show details
|
|
12 |
Keyword Detection Based on RetinaNet and Transfer Learning for Personal Information Protection in Document Images
|
|
|
|
In: Applied Sciences ; Volume 11 ; Issue 20 (2021)
|
|
BASE
|
|
Show details
|
|
13 |
Artificial Intelligence in Capsule Endoscopy: A Practical Guide to Its Past and Future Challenges
|
|
|
|
In: Diagnostics ; Volume 11 ; Issue 9 (2021)
|
|
BASE
|
|
Show details
|
|
14 |
A New Deep Learning-Based Methodology for Video Deepfake Detection Using XGBoost
|
|
|
|
In: Sensors ; Volume 21 ; Issue 16 (2021)
|
|
BASE
|
|
Show details
|
|
15 |
Deep Learning Based Air-Writing Recognition with the Choice of Proper Interpolation Technique
|
|
|
|
In: Sensors; Volume 21; Issue 24; Pages: 8407 (2021)
|
|
BASE
|
|
Show details
|
|
16 |
BengaliNet: A Low-Cost Novel Convolutional Neural Network for Bengali Handwritten Characters Recognition
|
|
|
|
In: Applied Sciences ; Volume 11 ; Issue 15 (2021)
|
|
BASE
|
|
Show details
|
|
17 |
Cardiovascular Disease Recognition Based on Heartbeat Segmentation and Selection Process
|
|
|
|
In: International Journal of Environmental Research and Public Health ; Volume 18 ; Issue 20 (2021)
|
|
BASE
|
|
Show details
|
|
18 |
Sentence Compression Using BERT and Graph Convolutional Networks
|
|
|
|
In: Applied Sciences ; Volume 11 ; Issue 21 (2021)
|
|
BASE
|
|
Show details
|
|
19 |
Robust 3D Face Reconstruction Using One/Two Facial Images
|
|
|
|
In: Journal of Imaging ; Volume 7 ; Issue 9 (2021)
|
|
BASE
|
|
Show details
|
|
20 |
Dynamic gesture classification of American Sign Language using deep learning
|
|
|
|
BASE
|
|
Show details
|
|
|
|