On the public citation graph

An online noise filter for eye-tracker data recorded in a virtual environment

https://doi.org/10.1145/1344471.1344511
0 signed · 32 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/bf02257178openalex-snapshot
Medical applications of virtual reality
inferredcites →https://doi.org/10.1016/0006-8993(83)90760-6openalex-snapshot
Saccadic eye movements after extremely short reaction times in the monkey
inferredcites →https://doi.org/10.1016/0167-8655(94)90082-5openalex-snapshot
Detail-preserving median based filters in image processing
inferredcites →https://doi.org/10.1038/369742a0openalex-snapshot
Where we look when we steer
inferredcites →https://doi.org/10.1080/0014013031000111266openalex-snapshot
Responding to a fire emergency in a virtual environment: different patterns of action for different situations
inferredcites →https://doi.org/10.1080/01431160210154885openalex-snapshot
A detail-preserving and flexible adaptive filter for speckle suppression in SAR imagery
inferredcites →https://doi.org/10.1089/cpb.2005.8.592openalex-snapshot
Scene Perception, Gaze Behavior, and Perceptual Learning in Virtual Environments
inferredcites →https://doi.org/10.1089/cpb.2006.9983openalex-snapshot
Presence as Determined by Fractal Perceptual-Motor Dynamics
inferredcites →https://doi.org/10.1109/31.83870openalex-snapshot
Center weighted median filters and their applications to image enhancement
inferredcites →https://doi.org/10.1109/83.503916openalex-snapshot
A new efficient approach for the removal of impulse noise from highly corrupted images
inferredcites →https://doi.org/10.1109/83.806630openalex-snapshot
Tri-state median filter for image denoising
inferredcites →https://doi.org/10.1109/97.654865openalex-snapshot
Restoration of impulse noise corrupted images using long-range correlation
inferredcites →https://doi.org/10.1109/97.889633openalex-snapshot
Adaptive impulse detection using center-weighted median filters
inferredcites →https://doi.org/10.1109/icnnsp.2003.1279234openalex-snapshot
A new kind of impulse noise filter based on PCNN
inferredcites →https://doi.org/10.1109/iscas.1998.698795openalex-snapshot
An efficient method for the removal of impulse noise from speech and audio signals
inferredcites →https://doi.org/10.1109/tip.2005.857261openalex-snapshot
A universal noise removal algorithm with an impulse detector
inferredcites →https://doi.org/10.1117/1.601964openalex-snapshot
Impulse noise removal using polynomial approximation
inferredcites →https://doi.org/10.3758/bf03195475openalex-snapshot
A breadth-first survey of eye-tracking applications

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4059768openalex-extracted
COLET: A Dataset for Cognitive WorkLoad Estimation Based on Eye-Tracking
inferred← citeshttps://doi.org/10.1007/978-3-032-18566-2_15openalex-snapshot
Eye-Tracking Using Web-Camera and Deep Learning
inferred← citeshttps://doi.org/10.1007/s12544-014-0139-zopenalex-snapshot
Cognitive workload and visual behavior in elderly drivers with hearing loss
inferred← citeshttps://doi.org/10.1007/s13173-013-0102-1openalex-snapshot
A survey on automatic techniques for enhancement and analysis of digital photography
inferred← citeshttps://doi.org/10.1016/j.aap.2017.03.013openalex-snapshot
Evaluation of methods for the assessment of attention while driving
inferred← citeshttps://doi.org/10.1016/j.apergo.2016.08.001openalex-snapshot
Changes in glance behaviour when using a visual eco-driving system – A field study
inferred← citeshttps://doi.org/10.1016/j.trf.2014.02.007openalex-snapshot
Continuous versus intermittent presentation of visual eco-driving advice
inferred← citeshttps://doi.org/10.1109/access.2020.2986272openalex-snapshot
An Evaluation Method for Visual Search Stability in Urban Tunnel Entrance and Exit Sections Based on Markov Chain
inferred← citeshttps://doi.org/10.1109/tits.2011.2174786openalex-snapshot
Processing of Eye/Head-Tracking Data in Large-Scale Naturalistic Driving Data Sets
inferred← citeshttps://doi.org/10.1109/tvcg.2024.3456153openalex-snapshot
Filtering on the Go: Effect of Filters on Gaze Pointing Accuracy During Physical Locomotion in Extended Reality
inferred← citeshttps://doi.org/10.1145/3747327.3764902openalex-snapshot
Inferring User State from Gaze Dynamics in a VR Throwing Task: Toward Adaptive and User-Centered Rehabilitation Support
inferred← citeshttps://doi.org/10.3390/s19030626openalex-snapshot
Understanding Eye Movement Signal Characteristics Based on Their Dynamical and Fractal Features
inferred← citeshttps://doi.org/10.3758/s13428-024-02529-7openalex-snapshot
The fundamentals of eye tracking part 4: Tools for conducting an eye tracking study
inferred← citeshttps://doi.org/10.5244/c.35.305openalex-snapshot
Noise-Aware Video Saliency Prediction
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.