Results 11 to 20 of about 142,458 (260)

Sensor-Assisted Face Tracking

open access: yesInternational Journal of Distributed Sensor Networks, 2015
Generally, face detection and tracking focus only on visual data analysis. In this paper, we propose a novel method for face tracking in camera video. By making use of the context metadata captured by wearable sensors on human bodies at the time of video
Dingbo Duan, Jian Ma
doaj   +2 more sources

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]

open access: yesFrontiers in Artificial Intelligence, 2020
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
doaj   +2 more sources

Face Tracking in the Compressed Domain [PDF]

open access: yesEURASIP Journal on Advances in Signal Processing, 2006
A compressed domain generic object tracking algorithm offers, in combination with a face detection algorithm, a low-compu-tational-cost solution to the problem of detecting and locating faces in frames of compressed video sequences (such as MPEG-1 or ...
Fonseca Pedro Miguel, Nesvadba Jan
doaj   +2 more sources

Inr tracking with face-to-face and phone app

open access: yesMedicine, 2023
Background: Warfarin has a narrow therapeutic window. Maintaining the patient’s international normalized ratio (INR) within a predefined therapeutic range is one of the main challenges of warfarin treatment. This study aimed to compare the INR values of patients followed by face-to-face and telephone applications.
Muhammet Onur Hanedan   +6 more
openaire   +2 more sources

Hierarchical Eyelid and Face Tracking [PDF]

open access: yes, 2007
Most applications on Human Computer Interaction (HCI) require to extract the movements of user faces, while avoiding high memory and time expenses. Moreover, HCI systems usually use low-cost cameras, while current face tracking techniques strongly depend on the image resolution.
Orozco, Francisco J.   +3 more
openaire   +3 more sources

Fusion of Multi-Intensity Image for Deep Learning-Based Human and Face Detection

open access: yesIEEE Access, 2022
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
doaj   +1 more source

Uncertainty Measurements in Non-Contact Neonatal Heart Rate Monitoring

open access: yesIEEE Access, 2023
Continuously monitoring patient vital signs in the neonatal intensive care unit (NICU) requires wired sensors that can irritate fragile skin, motivating the development of non-contact physiologic signal estimation approaches.
Yasmina Souley Dosso   +3 more
doaj   +1 more source

Towards Preventing Gaps in Health Care Systems through Smartphone Use: Analysis of ARKit for Accurate Measurement of Facial Distances in Different Angles

open access: yesSensors, 2023
There is a growing consensus in the global health community that the use of communication technologies will be an essential factor in ensuring universal health coverage of the world’s population.
Leon Nissen   +6 more
doaj   +1 more source

An improved active shape model for underground face tracking

open access: yesGong-kuang zidonghua, 2017
For low accuracy of face tracking applying active shape model(ASM) in condition of sudden change of illumination and contaminated and covered miner face in underground coal mine, an improved ASM was proposed.
ZHANG Xiuqin, WANG Rong, ZHANG Yingjun
doaj   +1 more source

Comparisons of local methods for face alignment

open access: yesIET Computer Vision, 2016
Exploring relations among different local methods for face alignment is a problem to be solved crucially. It is of significance for face recognition and face tracking. In this study, a general framework for local face alignment is presented.
Gang Zhang   +3 more
doaj   +1 more source

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