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Improvement of recognition rate using data augmentation with blurred images
This study aims to improve the recognition rate of a recognizer for detecting cracks on concrete surfaces from image data. When develo** a...
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A novel framework using 3D-CNN and BiLSTM model with dynamic learning rate scheduler for visual speech recognition
Visual Speech Recognition (VSR) is an appealing technology for predicting and analyzing spoken language based on lip movements. Previous research in...
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Your heart rate betrays you: multimodal learning with spatio-temporal fusion networks for micro-expression recognition
Micro-expressions can convey feelings that people are trying to hide. At present, some studies on micro-expression, most of which only use the...
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Human emotion recognition by analyzing facial expressions, heart rate and blogs using deep learning method
Development of automated systems to recognize human emotions can enhance the quality of delivery of public health service to a great extent. Due to...
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Reducing false positive rate with the help of scene change indicator in deep learning based real-time face recognition systems
In face recognition systems, light direction, reflection, and emotional and physical changes on the face are some of the main factors that make...
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Development of Speech Technologies at Trunin-Donskoy’s School: From Sound Recognition to Natural Speech Recognition
AbstractThe team of the speech recognition sector of the Computing Center of the Russian Academy of Sciences has participated in the development of...
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Spline magnitude disparity cross correlated deep network for gait recognition
Gait recognition stands as a pivotal biometric technology in individual identification, yet its real-world implementation faces challenges stemming...
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Wi-Fi CSI-Based Activity Recognition with Adaptive Sampling Rate Selection
Activity recognition methods using Wi-Fi Channel State Information (CSI) have been actively studied in the mobile and ubiquitous computing community....
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Handwritten stenography recognition and the LION dataset
In this paper, we establish the first baseline for handwritten stenography recognition, using the novel LION dataset, and investigate the impact of...
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Optimized intelligent strategy for user authorization by facial recognition
The technology of facial expression recognition plays a crucial role in daily life. In many computer-aided fields, the systems are worked based on...
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Face recognition via selective denoising, filter faces and hog features
Face recognition has become a very important topic in recent years. In this paper, we introduce selective denoising with block matching and 3D...
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Survey on vision-based dynamic hand gesture recognition
To communicate with one another hand, gesture is very important. The task of using the hand gesture in technology is influenced by a very common way...
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Automated recognition of Myanmar sign language using deep learning module
The recognition of sign language in real-time poses a significant challenge due to the dynamic nature of hand gestures, and determination of the...
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FRIH: A face recognition framework using image hashing
Face recognition is one of the most important research topics in computer vision. Indeed, the face is an important means of communication with humans...
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Recognition of Congestive Heart Failure Based on a Complex Correlation Measure of the Heart Rate Signal
AbstractThe article examines the indicator of a complex correlation measure applied to the task of recognizing congestive heart failure by a heart...
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Easy recognition of artistic Chinese calligraphic characters
Chinese calligraphy is one of the excellent expressions of Chinese traditional art. But people without domain knowledge of calligraphy can hardly...
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A new weighted ensemble model-based method for text implication recognition
In the context of text entailment recognition, there exists a risk of getting stuck in local optima when using a single pretrained model. To address...
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Image encryption algorithm based on face recognition, facial features recognition and bitonic sequence
Traditional scrambling algorithms frequently rely on static and fixed scrambling modes, which lack the involvement of chaotic sequences during the...
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English letter recognition based on adaptive optimization spiking neural P systems
The novel dynamic guider algorithm within the adaptive optimization spiking neural P system (AOSNPS) framework is employed to create an innovative...
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mXception and dynamic image for hand gesture recognition
Gesture detection has recently attracted a lot of attention due to its wide range of applications, notably in human–computer interaction (HCI)....
