Results 1 to 10 of about 3,123,613 (291)
Machine Learning Models for the Classification of Sleep Deprivation Induced Performance Impairment During a Psychomotor Vigilance Task Using Indices of Eye and Face Tracking [PDF]
High risk professions, such as pilots, police officers, and TSA agents, require sustained vigilance over long periods of time and/or under conditions of little sleep. This can lead to performance impairment in occupational tasks.
Matthew S. Daley +5 more
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Nowadays, daily life involves the extensive use of computers, since human beings are immersed in a technological society. Therefore, it is mandatory to interact with computers, which represents a true disadvantage for people with upper limb disabilities.
Pablo Ramos +4 more
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An Adaptive Face Tracker with Application in Yawning Detection
In this work, we propose an adaptive face tracking scheme that compensates for possible face tracking errors during its operation. The proposed scheme is equipped with a tracking divergence estimate, which allows to detect early and minimize the face ...
Aasim Khurshid, Jacob Scharcanski
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Multi-face recognition and dynamic tracking based on reinforcement learning algorithm [PDF]
Aiming at the problem that the current low accuracy rate of face detection and target tracking, a reinforcement learning algorithm is proposed, which integrates face detection technology and target tracking technology organically, adopts the face ...
Li Yuxin, Xie Yinggang, Lu Xi
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Arousal is one of the dimensions of core affect and frequently used to describe experienced or observed emotional states. While arousal ratings of facial expressions are collected in many studies it is not well understood how arousal is displayed in or ...
Jan N. Schneider +3 more
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The problem of suppressing false detections in video is relevant for large video surveillance systems, since it leads to an increase in the load on equipment and operators in situational centers.
Nikita Bagrov
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In order to achieve facial object detection and tracking in video, a method based on nonlinear sequence Monte Carlo filtering technology is proposed. The algorithm is simple, effective, and easy to operate, which can solve the problems of scale change ...
Du Yunming, Liu Yi, Tian Jing
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Understanding the online behavior and purchase intent of online consumers in social media can bring significant benefits to the ecommerce business and consumer research community.
Katerina Tzafilkou +2 more
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Fusion of Multi-Intensity Image for Deep Learning-Based Human and Face Detection
For ordinary IR-illuminators in nighttime surveillance system, insufficient illumination may cause misdetection for faraway object while excessive illumination leads to over-exposure of nearby object.
Peggy Joy Lu, Jen-Hui Chuang
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Face Recognition and Tracking Framework for Human–Robot Interaction
Recently, face recognition became a key element in social cognition which is used in various applications including human–robot interaction (HRI), pedestrian identification, and surveillance systems.
Aly Khalifa +5 more
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