منابع مشابه
Using machine learning to detect events in eye-tracking data.
Event detection is a challenging stage in eye movement data analysis. A major drawback of current event detection methods is that parameters have to be adjusted based on eye movement data quality. Here we show that a fully automated classification of raw gaze samples as belonging to fixations, saccades, or other oculomotor events can be achieved using a machine-learning approach. Any already ma...
متن کاملEEG and Eye Tracking Demonstrate Vigilance Enhancement with Challenge Integration
Maintaining vigilance is possibly the first requirement for surveillance tasks where personnel are faced with monotonous yet intensive monitoring tasks. Decrement in vigilance in such situations could result in dangerous consequences such as accidents, loss of life and system failure. In this paper, we investigate the possibility to enhance vigilance or sustained attention using "challenge inte...
متن کاملAnalyzing Behavioral Markers of Autistic Children Using Eye Tracking Data
Introduction: Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder that occurs in the early years of life and is characterized by social impairment, verbal and non-verbal communication difficulties as well as stereotypical behaviors. Rehabilitating autistic children at the early stages of growth, in which their brain is highly flexible, yields to enhanced treatment process and provid...
متن کاملEye Estimation to Detect Drowsiness
An Eye estimation technique has been developed, using a non-intrusive machine vision based concepts. The system uses a small monochrome security camera that points directly towards the driver’s face and monitors the driver’s eyes in order to detect fatigue This paper describes how to find the eyes, and determine the status of the eyes are open or closed. An application of Viola Jones algorithm ...
متن کاملTracking gesture to detect gender
Nonverbal behavior is a very important part of human interactions; and how this behavior is tracked and rendered is also key to establishing social presence. Tracking nonverbal behavior is useful not only for rendering signals via avatar, but also for providing clues about interactants. In this paper we describe a novel method of determining identity (i.e., gender) using machine learning with i...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Vision
سال: 2012
ISSN: 1534-7362
DOI: 10.1167/12.9.538