The driver felt sleepy when they don’t take proper rest while driving on long routes. restless careless mistake could be fatal to as well others’ lives. This issue has been increased such a level that system required avoid accidents and save life. alertness detection can play significant role hazards. identify the drowsiness face of generate an alarm for them stop or necessary actions. Eye stat...

Non-verbal communication, such as eye contact between drivers and pedestrians, has been regarded one way to reduce accident risk. So far, studies have assumed rather than objectively measured the occurrence of contact. We address this research gap by developing an detection method testing it in indoor experiment with scripted driver–pedestrian interactions at a pedestrian crossing. Thirty parti...

Recognition of Emotion can be identified using Eye Tracking methods which may be non-intrusive. SVD and HMM are used for eye tracking to recognize emotions, which classifies six different emotions with less correlation coefficiency and 77% accuracy is achieved. This work also focus on emotion recognition with HMM using the distance calculation method ,measuring sclera and iris distance.A fully ...

Diabetes in general can be classified as Type 1, 2, gestational diabetes mellitus that occur during pregnancy, and specific types of due to certain health condition. Monitoring glucose level is crucial order maintain a healthy lifestyle, especially among diabetic patients. Today, researchers looking for less painful, cheap, user-friendly noninvasive method monitor the body level. One promising ...

Globally, cataract is a common eye disease and one of the leading causes blindness vision impairment. The traditional process detecting cataracts involves examination using slit-lamp microscope or ophthalmoscope by an ophthalmologist, who checks for clouding normally clear lens eye. lack resources unavailability sufficient number experts pose burden to healthcare system throughout world, resear...

Reliable detection of irises is a necessary precondition for any iris-based biometric identification system. It is also important in measuring the movement of eyes in applications such as alertness detection and eye-guided user interfaces. This paper introduces a novel iterative algorithm for the accurate and fast localization of irises in eye images.

This paper describes a novel algorithm for exact eye contour detection in frontal face image. The exact eye shape is a useful piece of input information for applications like facial expression recognition, feature-based face recognition and face modelling. In contrast to well-known eye-segmentation methods, we do not rely on deformable models or image luminance gradient (edge) map. The eye wind...