Automatic Eye Winks Interpretation System for Human-Machine Interface

Automatic Eye Winks Interpretation System for Human-Machine Interface

This paper proposes an automatic eye-wink interpretation system for human-machine interface to benefit the severely handicapped people. Our system consists of (1) applying the support vector machine (SVM) to detect the eyes, (2) using the template matching algorithm to track the eyes, (3) using SVM classifier to verify the open or closed eyes and convert the eye winks into a sequence of codes (...

Eye-hand Hybrid Gesture Recognition System for Human Machine Interface

Gesture Recognition has become a way for computers to recognise and understand human body language. They bridge the gap between machines and human beings and make the primitive interfaces like keyboards and mice redundant. This paper suggests a hybrid gesture recognition system for computer interface and wireless robot control. The real-time eye-hand gesture recognition system can be used for c...

Brain-machine interface for eye movements.

A number of studies in tetraplegic humans and healthy nonhuman primates (NHPs) have shown that neuronal activity from reach-related cortical areas can be used to predict reach intentions using brain-machine interfaces (BMIs) and therefore assist tetraplegic patients by controlling external devices (e.g., robotic limbs and computer cursors). However, to our knowledge, there have been no studies ...

EMG-Based Human-Machine Interface System

Design of wireless EOG system for establishing Human Machine Interface

According to study on the group of persons with severe disabilities shows that many of them have the ability to control their eye movements, which could be used to develop various human machine interface systems to help control artifacts around them. This paper illustrates the design factor associated with the development of wireless Electro-oculography (EOG) system for paralyzed people allowin...