In our multi-view face and eye detection, we use a cascaded classifier trained by gentle AdaBoost algorithm, one of the appearance-based pattern learning method. Specifically, in order to detect multi-view face, we propose a special cascaded classifier using coarse-to-fine search, simple-to-complex search, and parallel-to-separated search. In order to detect eye, we propose a four-step eye dete...

The analysis of eye movements is valuable in both clinical work and research. One of the characteristic type of eye movements is saccade. The accurate detection of saccadic eye movements is the base for further processing of saccade parameters such velocity, amplitude and duration. This paper presents an accurate saccade detection method which is supported by the fuzzy clustering. The proposed ...

This paper discusses the calibration phase required prior to working of any gesture recognition or eye tracking devices. The calibration phase is an starting phase of eye tracking system. Prior to tracking phase, calibration (for eye detection) is required. Four methods have been tried in this paper, namely: using a box, multiple frames, laser and neural networks. The results of implementing ea...

The majority of facial recognition systems depend on the correct location of both the left and right eye centers in an effort to geometrically normalize face images. We propose a novel eye detection algorithm that efficiently locates the eye centers in five different bands of the SWIR spectrum, ranging from 1150 nm up to 1550 nm in increments of 100 nm. Our eye detection methodology utilizes a ...

There has been a growing interest in the field of facial expression recognition especially in the last two decades. An example of such a system is the improvement of driver carefulness and accident reduction. The driver’s face is tracked while he is driving and he is warned if there seems to be an alerting fact that can result in an accident such as sleepy eyes, or looking out of the road. Furt...

An electroencephalogram (EEG) is often corrupted by different types of artifacts. Many efforts have been made to enhance its quality by reducing the artifact. The EEG contains the technical artifacts (noise from the electric power source, amplitude artifact, etc.) and biological artifacts (eye artifacts, ECG and EMG artifacts). This paper is focused on eyeblinking artifact detection from the vi...