Gyu Ho Choi
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View article: ArecaNet: Robust Facial Emotion Recognition via Assembled Residual Enhanced Cross-Attention Networks for Emotion-Aware Human–Computer Interaction
ArecaNet: Robust Facial Emotion Recognition via Assembled Residual Enhanced Cross-Attention Networks for Emotion-Aware Human–Computer Interaction Open
Recently, the convergence of advanced sensor technologies and innovations in artificial intelligence and robotics has highlighted facial emotion recognition (FER) as an essential component of human–computer interaction (HCI). Traditional F…
View article: AIBA: Attention-based Instrument Band Alignment for Text-to-Audio Diffusion
AIBA: Attention-based Instrument Band Alignment for Text-to-Audio Diffusion Open
We present AIBA (Attention-In-Band Alignment), a lightweight, training-free pipeline to quantify where text-to-audio diffusion models attend on the time-frequency (T-F) plane. AIBA (i) hooks cross-attention at inference to record attention…
View article: STFTransNet: A Transformer Based Spatial Temporal Fusion Network for Enhanced Multimodal Driver Inattention State Recognition System
STFTransNet: A Transformer Based Spatial Temporal Fusion Network for Enhanced Multimodal Driver Inattention State Recognition System Open
Recently, studies on driver inattention state recognition as an advanced mobility application technology are being actively conducted to prevent traffic accidents caused by driver drowsiness and distraction. The driver inattention state re…
View article: PCTC-Net: A Crack Segmentation Network with Parallel Dual Encoder Network Fusing Pre-Conv-Based Transformers and Convolutional Neural Networks
PCTC-Net: A Crack Segmentation Network with Parallel Dual Encoder Network Fusing Pre-Conv-Based Transformers and Convolutional Neural Networks Open
Cracks are common defects that occur on the surfaces of objects and structures. Crack detection is a critical maintenance task that traditionally requires manual labor. Large-scale manual inspections are expensive. Research has been conduc…
View article: User identification system based on 2D CQT spectrogram of EMG with adaptive frequency resolution adjustment
User identification system based on 2D CQT spectrogram of EMG with adaptive frequency resolution adjustment Open
User identification systems based on electromyogram (EMG) signals, generated inside the body in different signal patterns and exhibiting individual characteristics based on muscle development and activity, are being actively researched. Ho…
View article: EFFNet-CA: An Efficient Driver Distraction Detection Based on Multiscale Features Extractions and Channel Attention Mechanism
EFFNet-CA: An Efficient Driver Distraction Detection Based on Multiscale Features Extractions and Channel Attention Mechanism Open
Driver distraction is considered a main cause of road accidents, every year, thousands of people obtain serious injuries, and most of them lose their lives. In addition, a continuous increase can be found in road accidents due to driver’s …
View article: One-Dimensional Shallow Neural Network Using Non-Fiducial Based Segmented Electrocardiogram for User Identification System
One-Dimensional Shallow Neural Network Using Non-Fiducial Based Segmented Electrocardiogram for User Identification System Open
Recent user recognition technologies have focused on biometric signals to remotely identify users in the access management, medical welfare, and public sectors. The electrocardiogram (ECG) signal is an individual’s unique electrophysiologi…
View article: Automatic Classification Service System for Citrus Pest Recognition Based on Deep Learning
Automatic Classification Service System for Citrus Pest Recognition Based on Deep Learning Open
Plant diseases are a major cause of reduction in agricultural output, which leads to severe economic losses and unstable food supply. The citrus plant is an economically important fruit crop grown and produced worldwide. However, citrus pl…
View article: Identification System Based on Resolution Adjusted 2D Spectrogram of Driver’s ECG for Intelligent Vehicle
Identification System Based on Resolution Adjusted 2D Spectrogram of Driver’s ECG for Intelligent Vehicle Open
Recently, traditional vehicles are being developed into intelligent vehicles as information is exchanged among various devices inside and outside the vehicles. In the connected car environment, the need for vehicle security is growing due …
View article: User Recognition System Based on Spectrogram Image Conversion Using EMG Signals
User Recognition System Based on Spectrogram Image Conversion Using EMG Signals Open
Recently, user recognition methods to authenticate personal identity has attracted significant attention especially with increased availability of various internet of things (IoT) services through fifth-generation technology (5G) based mob…
View article: Biometrics System Technology Trends Based on Bio-signal
Biometrics System Technology Trends Based on Bio-signal Open
Biometrics is a technology that authenticates, identifies, and recognizes user using individual uniquephysical or behavioral characteristics. The scope of services is expanding with necessity and utility ina wide range of fields such as fi…
View article: Driver Identification System Using Normalized Electrocardiogram Based on Adaptive Threshold Filter for Intelligent Vehicles
Driver Identification System Using Normalized Electrocardiogram Based on Adaptive Threshold Filter for Intelligent Vehicles Open
Driver-centered infotainment and telematics services are provided for intelligent vehicles that improve driver convenience. Driver-centered services are performed after identification, and a biometrics system using bio-signals is applied. …
View article: Recognition System Using Fusion Normalization Based on Morphological Features of Post-Exercise ECG for Intelligent Biometrics
Recognition System Using Fusion Normalization Based on Morphological Features of Post-Exercise ECG for Intelligent Biometrics Open
Although biometrics systems using an electrocardiogram (ECG) have been actively researched, there is a characteristic that the morphological features of the ECG signal are measured differently depending on the measurement environment. In g…
View article: Analysis of Bio-signal based Biometrics Application Technique Trends for Smart Connected Car
Analysis of Bio-signal based Biometrics Application Technique Trends for Smart Connected Car Open
Current research in automobile security conducts driver authentication inside and outside the vehicle. There are two general methods of authenticating drivers being researched: one through direct contact with a sensor, and the other throug…
View article: ECG-Based Human Identification System by Temporal-Amplitude Combined Feature Vectors
ECG-Based Human Identification System by Temporal-Amplitude Combined Feature Vectors Open
ECG data are biosignals with unique characteristics that can be obtained regardless of time and space constraints. Owing to these advantages, they have been widely used for not only diagnosing diseases but also recognizing people. Numerous…
View article: User Identification System Using 2D Resized Spectrogram Features of ECG
User Identification System Using 2D Resized Spectrogram Features of ECG Open
Studies have been actively conducted on biometrics technology applying electrocardiogram (ECG) signals, which are more robust against forgeries and alterations than fingerprint and face authentication. The ECG lead-I signals measured using…
View article: A Study on ECG-based Biometrics using Open Source Hardware
A Study on ECG-based Biometrics using Open Source Hardware Open
Biometric technology uses unique physical features as bioinformation. Electrocardiogram(ECG) isa signal recording potential changes related to heartbeats in the form of voltage, and each individualhas unique ECG signals in terms of heart l…
View article: The Performance of Serum Biomarkers for Predicting Fibrosis in Patients with Chronic Viral Hepatitis
The Performance of Serum Biomarkers for Predicting Fibrosis in Patients with Chronic Viral Hepatitis Open
In a hepatitis B endemic region, platelet count and APRI could be considered as reliable non-invasive markers for predicting fibrosis of chronic viral hepatitis. However, it is necessary to validate the diagnostic accuracy of these markers…
View article: Successful Use of Extracorporeal Membrane Oxygenation in Diffuse Alveolar Hemorrhage Secondary to Systemic Lupus Erythematosus
Successful Use of Extracorporeal Membrane Oxygenation in Diffuse Alveolar Hemorrhage Secondary to Systemic Lupus Erythematosus Open
Diffuse alveolar hemorrhage (DAH) is an uncommon complication in patients with systemic lupus erythematosus (SLE), and mortality remains high. In recent years, cases of DAH due to SLE treated with extracorporeal membrane oxygenation (ECMO)…
View article: Collision tumor of hepatocellular carcinoma and neuroendocrine carcinoma involving the liver: Case report and review of the literature
Collision tumor of hepatocellular carcinoma and neuroendocrine carcinoma involving the liver: Case report and review of the literature Open
Primary hepatic neuroendocrine carcinoma (NEC) with concurrent occurrence of hepatocellular carcinoma (HCC) of the liver is very rare. Only 8 cases have been reported in the literature. Concurrent occurrence of HCC and NEC in the liver is …