Cited by 66Emotion and Mood RecognitionHeart Rate Variability and Autonomic ControlGaze Tracking and Assistive Technology

Comparative analysis of emotion estimation methods based on physiological measurements for real-time applications

Kukolja, Davor, Popović, Siniša, Horvat, Marko, Kovač, Bernard, Ćosić, Krešimir·2014·International Journal of Human-Computer Studies

Integrity signals

Registry

Crossref · 10.1016/j.ijhcs.2014.05.006

Cites

53 of 53 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Recent research has shown that under certain circumstances multimodal emotion recognition is possible even in real time.

    “Recent research has shown that under certain circumstances multimodal emotion recognition is possible even in real time [37].”

    From Survey on AI-Based Multimodal Methods for Emotion Detection (2019) · cites this paper as [37]

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Kukolja, D., Popović, S., Horvat, M., Kovač, B., & Ćosić, K.
Affiliations
University of Zagreb (HR)
Corresponding author
Kukolja, Davor
Venue
International Journal of Human-Computer Studies
Publisher
Elsevier BV
Published
2014-10
Volume
72
Issue
10-11
Pages
717-727
ISSN
1071-5819 (ISSN-L)
OpenAlex
W1963552713
Cited by
66
References
53
Citations by year
2026: 2 · 2025: 2 · 2024: 3 · 2023: 6 · 2022: 8 · 2021: 9 · 2020: 5 · 2019: 9 · 2018: 4 · 2017: 5 · 2016: 10 · 2015: 3
FWCI
8.35
Type
journal article
Language
en
Open access
closed
Locations
International Journal of Human-Computer Studies (publishedVersion)
Topics
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Emotion and Mood Recognition
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Heart Rate Variability and Autonomic Control
  • Physical Sciences › Computer Science › Human-Computer Interaction › Gaze Tracking and Assistive Technology
Keywords
emotion recognition, physiological signals, feature reduction, multilayer perceptron, sequential floating forward selection, minimum redundancy maximum relevance, k-nearest neighbors, ECG, respiration, skin conductance, skin temperature, International Affective Picture System

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review