21 papers
Critical Thinking in the Age of Artificial Intelligence: A Survey-Based Study with Machine Learning Insights
M Murshidul Bari, Akif Islam, Mohd Ruhul Ameen +2
The growing use of artificial intelligence (AI) in education, professional work, and everyday problem-solving has raised important questions about its effect on human reasoning. Wh…
Stack Transformer Based Spatial-Temporal Attention Model for Dynamic Sign Language and Fingerspelling Recognition
Koki Hirooka, Abu Saleh Musa Miah, Tatsuya Murakami +3
Hand gesture-based Sign Language Recognition (SLR) serves as a crucial communication bridge between deaf and non-deaf individuals. While Graph Convolutional Networks (GCNs) are com…
A Methodological and Structural Review of Parkinsons Disease Detection Across Diverse Data Modalities
Abu Saleh Musa Miah, taro Suzuki, Jungpil Shin
Parkinsons Disease (PD) is a progressive neurological disorder that primarily affects motor functions and can lead to mild cognitive impairment (MCI) and dementia in its advanced s…
Classification of ADHD and Healthy Children Using EEG Based Multi-Band Spatial Features Enhancement
Md Bayazid Hossain, Md Anwarul Islam Himel, Md Abdur Rahim +3
Attention Deficit Hyperactivity Disorder (ADHD) is a common neurodevelopmental disorder in children, characterized by difficulties in attention, hyperactivity, and impulsivity. Ear…
Electromyography-Based Gesture Recognition: Hierarchical Feature Extraction for Enhanced Spatial-Temporal Dynamics
Jungpil Shin, Abu Saleh Musa Miah, Sota Konnai +2
Hand gesture recognition using multichannel surface electromyography (sEMG) is challenging due to unstable predictions and inefficient time-varying feature enhancement. To overcome…
IoT-Based Real-Time Medical-Related Human Activity Recognition Using Skeletons and Multi-Stage Deep Learning for Healthcare
Subrata Kumer Paul, Abu Saleh Musa Miah, Rakhi Rani Paul +3
The Internet of Things (IoT) and mobile technology have significantly transformed healthcare by enabling real-time monitoring and diagnosis of patients. Recognizing medical-related…