scholarly journals Face Detection: Mapping Human Performance

Perception ◽  
10.1068/p5007 ◽  
2003 ◽  
Vol 32 (8) ◽  
pp. 903-920 ◽  
Author(s):  
Michael B Lewis ◽  
Andrew J Edmonds
Keyword(s):  
Reaction Time ◽  
Face Detection ◽  
Human Performance ◽  
Limited Attention ◽  
Focused Attention ◽  
Deformable Template ◽  
Detection Systems ◽  
Face Experiment ◽  
Extensive Body ◽  
Inversion Effects

The recognition of faces has been the focus of an extensive body of research, whereas the preliminary and prerequisite task of detecting a face has received limited attention from psychologists. Four experiments are reported that address the question how we detect a face. Experiment 1 reveals that we use information from the scene to aid detection. In experiment 2 we investigated which features of a face speed the detection of faces. Experiment 3 revealed inversion effects and an interaction between the effects of blurring and reduction of contrast. In experiment 4 the sizes of effects of reversal of orientation, luminance, and hue were compared. Luminance was found to have the greatest effect on reaction time to detect faces. The results are interpreted as suggesting that face detection proceeds by a pre-attentive stage that identifies possible face regions, which is followed by a focused-attention stage that employs a deformable template. Comparisons are drawn with automatic face-detection systems.

scholarly journals Traumatic Brain Injury, Aging and Reaction Time

1989 ◽  
Vol 16 (2) ◽  
pp. 161-167 ◽  
Author(s):  
D.T. Stuss ◽  
L.L. Stethem ◽  
T.W. Picton ◽  
E.E. Leech ◽  
G. Pelchat
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Standard Deviation ◽  
Reaction Time ◽  
Attentional Control ◽  
Focused Attention ◽  
Redundant Information ◽  
Complex Reaction ◽  
Control Processes ◽  
Simple Rt

ABSTRACT:The effects of traumatic brain injury (TBI) and aging were compared on tests of simple and complex reaction time (RT). Simple RT was not significantly affected by aging or TBI. TBI patients, however, tended to be slower on Simple RT tasks, and had a larger standard deviation. Individuals over age 60 and patients of any age with TBI demonstrated slower RT with choice RT tests. In addition, both groups (those over 60 and TBI patients) were less able than other groups to inhibit the processing of redundant information. For the TBI patients, this occurred primarily on reassessment. These results suggest that the deficit in both aging and TBI is not only a generalized neuronal slowing but a more specific impairment in attentional control processes, exhibited as a deficit in focused attention.

Predicting Human Performance IV: Choice Reaction Time

1972 ◽  
Author(s):  
Warren H. Teichner ◽  
Marjorie J. Krebs
Keyword(s):  
Reaction Time ◽  
Choice Reaction Time ◽  
Human Performance

scholarly journals Reaction time after head injury: fatigue, divided and focused attention, and consistency of performance.

1989 ◽  
Vol 52 (6) ◽  
pp. 742-748 ◽  
Author(s):  
D T Stuss ◽  
L L Stethem ◽  
H Hugenholtz ◽  
T Picton ◽  
J Pivik ◽  
...  
Keyword(s):  
Reaction Time ◽  
Head Injury ◽  
Focused Attention

Evaluation of Algorithms for Combining Independent Data Sets in a Human Performance Expert System

1987 ◽  
Vol 31 (7) ◽  
pp. 811-814
Author(s):  
Valerie J. Gawron ◽  
David J. Travale ◽  
Colin Drury ◽  
Sara Czaja
Keyword(s):  
Reaction Time ◽  
Expert System ◽  
Human Performance ◽  
Test Procedure ◽  
Reaction Time Task ◽  
Error Rates ◽  
Task Completion ◽  
Data Sets ◽  
Independent Data ◽  
Independent Variables

A major problem facing system designers today is predicting human performance in: 1) systems that have not yet been built, 2) situations that have not yet been experienced, and 3) situations for which there are only anecdotal reports. To address this problem, the Human Performance Expert System (Human) was designed. The system contains a large data base of equations derived from human performance research reported in the open literature. Human accesses these data to predict task performance times, task completion probabilities, and error rates. A problem was encountered when multiple independent data sets were relevant to one task. For example, a designer is interested in the effects of luminance and front size on number of reading errors. Two data sets exist in the literature: one examining the effects of luminance, the other, font size. The data in the two sets were collected at different locations with different subjects and at different times in history. How can the two data sets be combined to address the designer's problem? Four combining algorithms were developed and then tested in two steps. In step one, two reaction-time experiments were conducted: one to evaluate the effect the number of alternatives on reaction time; the second, signals per minute and number of displays being monitored. The four algorithms were used on the data from these two experiments to predict reaction time in the situation where all three independent variables are manipulated simultaneously. In step two of the test procedure, a third experiment was conducted. Subjects who had not participated in either Experiment One or Two performed a reaction-time task under the combined effects of all three independent variables. The predictions made from step one were compared to the actual empirical data collected in step two. The results of these comparisons are presented.

scholarly journals Priming to Promote Fluent Motor Skill Execution: Exploring Attentional Demands

2014 ◽  
Vol 36 (4) ◽  
pp. 366-374 ◽  
Author(s):  
Danielle Adams ◽  
Kelly J. Ashford ◽  
Robin C. Jackson
Keyword(s):  
Reaction Time ◽  
Completion Time ◽  
Reaction Time Task ◽  
Soccer Players ◽  
Task Completion ◽  
Focused Attention ◽  
Attentional Demands ◽  
Skilled Performance ◽  
Probe Reaction Time ◽  
Speed And Accuracy

The effect of priming on the speed and accuracy of skilled performance and on a probe-reaction time task designed to measure residual attentional capacity, was assessed. Twenty-four skilled soccer players completed a dribbling task under three prime conditions (fluency, skill-focus, and neutral) and a control condition. Results revealed changes in trial completion time and secondary task performance in line with successfully priming autonomous and skill-focused attention. Retention test data for task completion time and probe-reaction time indicated a linear decrease in the priming effect such that the effect was nonsignificant after 30 min. Results provide further support for the efficacy of priming and provide the first evidence of concurrent changes in attentional demands, consistent with promoting or disrupting automatic skill execution.

scholarly journals A comparison of single-session focused attention meditation and computerised attention task instantaneous effects on cognitive control in sequence learning

2018 ◽  
Author(s):  
Russell Weili Chan ◽  
Maarten Alberto Immink ◽  
Kurt Lushington
Keyword(s):  
General Practice ◽  
Reaction Time ◽  
Sequence Learning ◽  
Attention Allocation ◽  
Focused Attention ◽  
Learning Effects ◽  
Single Session ◽  
Top Down ◽  
Attention Task ◽  
And Control

Chan et al. (2017) demonstrated that top-down control states established in FAM persist to influence subsequent sequence learning through increased stimulus-based planning. To test if top-down control influences on attention allocation and contribute to sequence learning effects of FAM, we compared against a computerised attention task (CAT). We investigated if effort, arousal or pleasure associated with FAM or CAT, explained the influence on sequence learning. Relative to Control, FAM and CAT resulted in shorter reaction time (RT) in the SRTT. FAM resulted in a greater rate of improvement than both CAT and control across training blocks of the SRTT, aligned with general practice benefits associated with reliance on stimulus-based planning. Neither effort, arousal or pleasure associated with FAM, CAT or control conditions correlated with SRTT performance or learning indices. Enhanced sequence learning following FAM is attributed to increased top-down control states established by FAM that transfer to subsequent sequence learning.

scholarly journals Security Implementation by Machine Learning Based Face Recognization with SVM

2021 ◽  
pp. 214-218
Author(s):  
Apurva Yawalikar ◽  
U. W. Hore
Keyword(s):  
Machine Learning ◽  
Face Recognition ◽  
Face Detection ◽  
Detection System ◽  
Object Class ◽  
Detection Systems ◽  
The Face ◽  
Object Class Detection ◽  
Human Faces ◽  
Work Done

Face detection is a computer technology being used in a variety of applications that identifies human faces in digital images. Face detection also refers to the psychological process by which humans locate and attend to faces in a visual scene. Face detection can be regarded as a specific case of object-class detection. In object-class detection, the task is to find the locations and sizes of all objects in an image that belong to a given. As per the various face detection system seen various work done onto the detection with various way. In existing this are get evaluate with the HOG with SVM, which will help us to get the exact value so that it is necessary to implement the system which will more effective and advance. As per the face detection seen there are various face detection systems are implemented. Determining face is easy but recognition is quite typical so that we are proposed machine learning based face recognition with SVM which helps to determine and detect the faces So the proposed system will get integrated with highly efficient and effective SVM model for face recognition. The proposed methodology will help us to implement the face based security implementation in any security system like door lock, mobile screen lock etc.

Effects of Foreperiod and Time on Task on Reaction Time and Movement Time

1992 ◽  
Vol 74 (1) ◽  
pp. 131-144 ◽  
Author(s):  
Roald Arild Bjørklund
Keyword(s):  
Reaction Time ◽  
Motor System ◽  
Human Performance ◽  
Movement Time ◽  
Time On Task ◽  
Visual Reaction Time ◽  
Preparatory Set ◽  
Main Effect ◽  
Visual Reaction ◽  
Main Effects

The study was undertaken to investigate the effects of foreperiod (range 0.5 to 5.0 sec.) and 80 min. time on task (TOT) on reaction time (RT) and three subsequent fractions of movement time (MT) in a visual reaction-time experiment. Main effects of foreperiod and TOT, and an interaction between them appeared on RT. During the first 40 min. TOT, the most rapid RTs were observed at the foreperiods exceeding 1.5 sec., while after 40 min. TOT an increment in RT also emerged at the 5-sec. foreperiod. The interaction indicates that some kind of time-dependent fatigue affects ability to maintain preparatory set mainly with long fore-periods. A main effect of foreperiod was observed on all the three fractions of MT; the measurements lengthened with prolonged foreperiods, indicating that onset of fore-period generates a general preparedness in the motor system. TOT did not affect MT. The study indicates that temporal factors affect the perceptual component of simple human performance more than the motor components.

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