Search
Search Results
-
Pupil center detection inspired by multi-task auxiliary learning characteristic
Robust and accurate pupil center detection is a prerequisite for eye-tracking system. In natural environments, due to rapid illumination...
-
Pupil centre’s localization with transformer without real pupil
Pupil Centre’s localization is an essential aspect of ergonomics; it may be used in emotion analysis and attention evaluation. Numerous research...
-
Pistol: Pupil Invisible Supportive Tool in the Wild
This paper is an in the wild evaluation of the eye tracking tool Pistol. Pistol supports Pupil Invisible projects and other eye trackers (Dikablis,...
-
Pupil Size Measurement and Application to Iris Presentation Attack Detection
This chapter presents a comprehensive study on the application of stimulated pupillary light reflex to presentation attack detection (PAD) that can...
-
Pupil localization algorithm based on lightweight convolutional neural network
Pupil localization is one of the most critical and essential requirements for eye gaze estimation and eye movement tracking. Because pupil images...
-
Pupil detection schemes in human eye: a review
Pupil detection in a human eyeimage or video plays a key role in many applications such as eye-tracking, diabetic retinopathy screening, smart homes,...
-
Multi-source Information Fusion for Depression Detection
Depression is the most common psychiatric disorder. Traditional depression detection methods almost rely on structured scales and clinical opinions,...
-
Pupil Segmentation Using Stirling’s Interpolation Based Fractional Differential Mask
Pupil localization is one of the significant pre-processing steps in iris recognition system, which plays a vital role in human authentication...
-
Symptoms of Dementia in Elderly Persons Using Waveform Features of Pupil Light Reflex
A procedure for detecting cognitive impairment in senior citizens is examined using pupil light reflex (PLR) to chromatic light pulses and a portable...
-
Pupil and Electromyography (EMG) Responses to Collision Warning in a Real Driving Environment
The purpose of this study is to assess drivers’ upcoming decisions to collision warnings by analyzing their pupil and electromyography (EMG)...
-
Explainable Enhanced Recurrent Neural Network for lie detection using voice stress analysis
Lie detection is a crucial aspect of human interactions that affects everyone in their daily lives. Individuals often rely on various cues, such as...
-
A novel drowsiness detection model using composite features of head, eye, and facial expression
Drowsiness is the principal cause of road crashes nowadays, as per the existing data. Drowsiness may put many precious lives in jeopardy. Drowsiness...
-
Detection of exudates from retinal images for non-proliferative diabetic retinopathy detection using deep learning model
Diabetes is considered to be the foundation of a slew of other health issues and late consequences, according to medical experts. The rise in...
-
Preference detection of the humanoid robot face based on EEG and eye movement
The face of a humanoid robot can affect the user experience, and the detection of face preference is particularly important. Preference detection...
-
Eye pupil localization algorithm using convolutional neural networks
Eye pupil localization is one of the indispensable technologies in various computer vision applications such as virtual reality and augmented...
-
MPB: Multi-Peak Binarization for Pupil Detection
Automatic pupil detection is a fundamental part of eye-related tasks like eye tracking, gaze estimation and eye movement identification. Especially,...
-
A Robust and Accurate Particle Filter-Based Pupil Detection Method for Big Datasets of Eye Video
Accurate detection of pupil position in successive frames of eye videos is finding applications in many areas including assistive systems and...
-
Deep insights on processing strata, features and detectors for fingerprint and iris liveness detection techniques
Fingerprint and iris traits are used in sensitive applications and so, spoofing them can impose a serious security threat as well as financial...
-
Distracted driver detection using learning representations
With the current market’s growing need for electric vehicles and technologies in high-end vehicles, distracted driver detection requires the...
-
Edge Detection in Gray-Scale Images Using Partial Sum of Second-Order Taylor Series Expansion
In this work, we present an accurate and novel edge detection technique for gray-scale images using partial sum of Taylor series expansion (TSE)....
