Anjith George

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— On-board monitoring of the alertness level of an automotive driver has been a challenging research in transportation safety and management. In this paper, we propose a robust real-time embedded platform to monitor the loss of attention of the driver during day as well as night driving conditions. The PERcentage of eye CLOSure (PERCLOS) has been used as(More)
— Facial expression analysis is one of the popular fields of research in human computer interaction (HCI). It has several applications in next generation user interfaces, human emotion analysis, behavior and cognitive modeling. In this paper, a facial expression classification algorithm is proposed which uses Haar classifier for face detection purpose,(More)
—Human Computer Interaction (HCI) is an evolving area of research for coherent communication between computers and human beings. Some of the important applications of HCI as reported in literature are face detection, face pose estimation, face tracking and eye gaze estimation. Development of algorithms for these applications is an active field of research.(More)
—This paper proposes a novel framework for the use of eye movement patterns for biometric applications. Eye movements contain abundant information about cognitive brain functions, neural pathways, etc. In the proposed method, eye movement data is classified into fixations and saccades. Features extracted from fixations and saccades are used by a Gaussian(More)
—Iris centre localization in low-resolution visible images is a challenging problem in computer vision community due to noise, shadows, occlusions, pose variations, eye blinks, etc. This paper proposes an efficient method for determining iris centre in low-resolution images in the visible spectrum. Even low-cost consumer-grade webcams can be used for gaze(More)
—Estimation eye gaze direction is useful in various human-computer interaction tasks. Knowledge of gaze direction can give valuable information regarding users point of attention. Certain patterns of eye movements known as eye accessing cues are reported to be related to the cognitive processes in the human brain. We propose a real-time framework for the(More)
—Drowsiness level detection of an individual is very important in many safety critical applications such as driving. There are several invasive and contact based methods such as use of blood biochemical, brain signals etc. which can estimate the level of drowsiness very accurately. However, these methods are very difficult to implement in practical(More)
—Detection of fatigue due to drowsiness or loss of attention in human drivers is an evolving area of research. Several algorithms have been implemented to detect the level of fatigue in human drivers by capturing videos of facial image sequences and extracting facial features such as eye closure rates, eye gaze, head nodding, blink frequency etc. However,(More)
—Face detection is an essential step in many computer vision applications like surveillance, tracking, medical analysis, facial expression analysis etc. Several approaches have been made in the direction of face detection. Among them, Haar-like features based method is a robust method. In spite of the robustness, Haar-like features work with some(More)
DECLARATION I certify that a. the work contained in this report is original and has been done by me under the guidance of my supervisor(s). b. the work has not been submitted to any other Institute for any degree or diploma. c. I have followed the guidelines provided by the Institute in preparing the report. d. I have conformed to the norms and guidelines(More)
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