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1
Face Biometric Spoof Detection Method Using a Remote Photoplethysmography Signal
In: Sensors; Volume 22; Issue 8; Pages: 3070 (2022)
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2
ECG Recurrence Plot-Based Arrhythmia Classification Using Two-Dimensional Deep Residual CNN Features
In: Sensors; Volume 22; Issue 4; Pages: 1660 (2022)
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3
Automatic Classification Framework of Tongue Feature Based on Convolutional Neural Networks
In: Micromachines; Volume 13; Issue 4; Pages: 501 (2022)
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4
Short Text Aspect-Based Sentiment Analysis Based on CNN + BiGRU
In: Applied Sciences; Volume 12; Issue 5; Pages: 2707 (2022)
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5
BenSignNet: Bengali Sign Language Alphabet Recognition Using Concatenated Segmentation and Convolutional Neural Network
In: Applied Sciences; Volume 12; Issue 8; Pages: 3933 (2022)
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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
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7
TASE: Task-Aware Speech Enhancement for Wake-Up Word Detection in Voice Assistants
In: Applied Sciences; Volume 12; Issue 4; Pages: 1974 (2022)
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8
Rethinking the Methods and Algorithms for Inner Speech Decoding and Making Them Reproducible
In: NeuroSci; Volume 3; Issue 2; Pages: 226-244 (2022)
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9
Recognition of Grammatical Class of Imagined Words from EEG Signals using Convolutional Neural Network
Datta, S; Boulgouris, NV. - : Elsevier BV, 2021
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10
Deep Learning Methods for Human Behavior Recognition
Lu, Jia. - : Auckland University of Technology, 2021
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11
Comparing Encoder-Decoder Architectures for Neural Machine Translation: A Challenge Set Approach ...
Doan, Coraline. - : Université d'Ottawa / University of Ottawa, 2021
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12
Keyword Detection Based on RetinaNet and Transfer Learning for Personal Information Protection in Document Images
In: Applied Sciences ; Volume 11 ; Issue 20 (2021)
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13
Artificial Intelligence in Capsule Endoscopy: A Practical Guide to Its Past and Future Challenges
In: Diagnostics ; Volume 11 ; Issue 9 (2021)
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14
A New Deep Learning-Based Methodology for Video Deepfake Detection Using XGBoost
In: Sensors ; Volume 21 ; Issue 16 (2021)
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15
Deep Learning Based Air-Writing Recognition with the Choice of Proper Interpolation Technique
In: Sensors; Volume 21; Issue 24; Pages: 8407 (2021)
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16
BengaliNet: A Low-Cost Novel Convolutional Neural Network for Bengali Handwritten Characters Recognition
In: Applied Sciences ; Volume 11 ; Issue 15 (2021)
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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)
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18
Sentence Compression Using BERT and Graph Convolutional Networks
In: Applied Sciences ; Volume 11 ; Issue 21 (2021)
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19
Robust 3D Face Reconstruction Using One/Two Facial Images
In: Journal of Imaging ; Volume 7 ; Issue 9 (2021)
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20
Dynamic gesture classification of American Sign Language using deep learning
Vaghasiya, Devina. - : Laurentian University of Sudbury, 2021
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