activity
20232025
most citedA Methodological and Structural Review of Hand Gesture Recognition Across Diverse Data Modalities

65 citations · 80 across the 12 of their papers we have counts for

collaborators

12 papers

eess.SP2025

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…

cs.CV2025

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…

eess.SP20241 cited

Parkinson Disease Detection Based on In-air Dynamics Feature Extraction and Selection Using Machine Learning

Jungpil Shin, Abu Saleh Musa Miah, Koki Hirooka +2

Parkinson's disease (PD) is a progressive neurological disorder that impairs movement control, leading to symptoms such as tremors, stiffness, and bradykinesia. Many researchers an…

cs.AI2024

Multi-class heart disease Detection, Classification, and Prediction using Machine Learning Models

Mahfuzul Haque, Abu Saleh Musa Miah, Debashish Gupta +5

Heart disease is a leading cause of premature death worldwide, particularly among middle-aged and older adults, with men experiencing a higher prevalence. According to the World He…

cs.CV20241 cited

ChatGPT in Research and Education: Exploring Benefits and Threats

Abu Saleh Musa Miah, Md Mahbubur Rahman Tusher, Md. Moazzem Hossain +5

In recent years, advanced artificial intelligence technologies, such as ChatGPT, have significantly impacted various fields, including education and research. Developed by OpenAI,…

cs.CV20241 cited

Computer-Aided Fall Recognition Using a Three-Stream Spatial-Temporal GCN Model with Adaptive Feature Aggregation

Jungpil Shin, Abu Saleh Musa Miah, Rei Egawa1 +4

The prevention of falls is paramount in modern healthcare, particularly for the elderly, as falls can lead to severe injuries or even fatalities. Additionally, the growing incidenc…