Low-Cost Multi-Directional EOG Interface with State-Stabilized Gesture Detection for Independent Living Support in Paralytic Patients

Artificial Intelligence–Powered Eye-Tracking Assistive System with You Only Look Once, Version 3 for Individuals with Disabilities

Assistive technologies for individuals with disabilities are crucial in promoting social inclusion and enabling them to participate more fully in daily life. This article focuses on designing and developing a cost-effective head-mounted eye-tracking system aimed at enhancing the quality of life for individuals with sev...

Smart Glasses for Paralytic Patients with Health Monitoring System

Wearable Gyroscope-Based Motion Tracking and Hand Gesture Recognition Using ANOVA for Feature Discrimination

A wearable hand gesture recognition system employing an MPU6500 gyroscope to detect tri-axial angular velocity corresponding to five different pre-defined hand gestures, making it ideal for applications in rehabilitation monitoring, assistive communication, and wearables.

An action-level gesture recognition method based on sEMG and channel-recalibrated multiscale temporal features

The proposed SE-MSCFormer offers an efficient and robust solution for low-sampling-rate sEMG gesture recognition and confirms that the synergy between the multi-scale temporal configuration and channel recalibration enhances overall recognition performance.

Intelligent Hand Gesture Controlled Wheelchair for Mobility-Impaired Patients

Brain Controlled-based Wheelchair Using Emotiv EPOC Sensor

This project focuses on the development of a brain-controlled wheelchair system aimed at enhancing the mobility and independence of individuals with physical disabilities. The system leverages the user to control wheelchair movement using EEG brain signals. These brain signals are translated into several move commands...