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Noldus Information Technology facereader fr
Example of the automatic facial coding analysis of the <t>Facereader</t> software (Noldus Information Technology). (Left) Depicted is a happy facial expression from the ADFES inventory (model F01; ). The net represents the digital face model which establishes distance measures between distinct facial features. Based on this information, activity of specific action units is estimated. (Right) In a next step, the current profile of action unit activities is integrated to higher order emotion measures (in this case the basic emotion happiness, pleasant valence, and relatively high arousal).
Facereader Fr, supplied by Noldus Information Technology, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Average 90 stars, based on 1 article reviews
facereader fr - by Bioz Stars, 2026-05
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90
Noldus Information Technology facereader software
Example of the automatic facial coding analysis of the <t>Facereader</t> software (Noldus Information Technology). (Left) Depicted is a happy facial expression from the ADFES inventory (model F01; ). The net represents the digital face model which establishes distance measures between distinct facial features. Based on this information, activity of specific action units is estimated. (Right) In a next step, the current profile of action unit activities is integrated to higher order emotion measures (in this case the basic emotion happiness, pleasant valence, and relatively high arousal).
Facereader Software, supplied by Noldus Information Technology, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/facereader software/product/Noldus Information Technology
Average 90 stars, based on 1 article reviews
facereader software - by Bioz Stars, 2026-05
90/100 stars
  Buy from Supplier

Image Search Results


Example of the automatic facial coding analysis of the Facereader software (Noldus Information Technology). (Left) Depicted is a happy facial expression from the ADFES inventory (model F01; ). The net represents the digital face model which establishes distance measures between distinct facial features. Based on this information, activity of specific action units is estimated. (Right) In a next step, the current profile of action unit activities is integrated to higher order emotion measures (in this case the basic emotion happiness, pleasant valence, and relatively high arousal).

Journal: Frontiers in Psychology

Article Title: Read My Face: Automatic Facial Coding Versus Psychophysiological Indicators of Emotional Valence and Arousal

doi: 10.3389/fpsyg.2020.01388

Figure Lengend Snippet: Example of the automatic facial coding analysis of the Facereader software (Noldus Information Technology). (Left) Depicted is a happy facial expression from the ADFES inventory (model F01; ). The net represents the digital face model which establishes distance measures between distinct facial features. Based on this information, activity of specific action units is estimated. (Right) In a next step, the current profile of action unit activities is integrated to higher order emotion measures (in this case the basic emotion happiness, pleasant valence, and relatively high arousal).

Article Snippet: We compared automatically generated scores for valence and arousal of the Facereader (FR; Noldus Information Technology) with the current psychophysiological gold standard of measuring emotional valence (Facial Electromyography, EMG) and arousal (Skin Conductance, SC).

Techniques: Software, Expressing, Activity Assay

Mean  Facereader  valence (2A) and electromyography delta (2B, standard deviations in parenthesis, 95% confidence intervals in square brackets, difference to baseline in arbitrary units [AU] or millivolt [mV]), separately for time windows and stimulus categories.

Journal: Frontiers in Psychology

Article Title: Read My Face: Automatic Facial Coding Versus Psychophysiological Indicators of Emotional Valence and Arousal

doi: 10.3389/fpsyg.2020.01388

Figure Lengend Snippet: Mean Facereader valence (2A) and electromyography delta (2B, standard deviations in parenthesis, 95% confidence intervals in square brackets, difference to baseline in arbitrary units [AU] or millivolt [mV]), separately for time windows and stimulus categories.

Article Snippet: We compared automatically generated scores for valence and arousal of the Facereader (FR; Noldus Information Technology) with the current psychophysiological gold standard of measuring emotional valence (Facial Electromyography, EMG) and arousal (Skin Conductance, SC).

Techniques:

Averaged signals of Facereader Valence (A) Electromyography Delta (B) , Facereader Arousal (C) , and Skin Conductance (D) separate for time windows in seconds after picture onset (three seconds stimulus presentation) and stimulus category (difference to baseline in Arbitrary Units [AU], millivolt [mV], or micro Siemens [μS]). Error bars are standard errors of the mean. Green areas highlight time windows with significant stimulus category effects.

Journal: Frontiers in Psychology

Article Title: Read My Face: Automatic Facial Coding Versus Psychophysiological Indicators of Emotional Valence and Arousal

doi: 10.3389/fpsyg.2020.01388

Figure Lengend Snippet: Averaged signals of Facereader Valence (A) Electromyography Delta (B) , Facereader Arousal (C) , and Skin Conductance (D) separate for time windows in seconds after picture onset (three seconds stimulus presentation) and stimulus category (difference to baseline in Arbitrary Units [AU], millivolt [mV], or micro Siemens [μS]). Error bars are standard errors of the mean. Green areas highlight time windows with significant stimulus category effects.

Article Snippet: We compared automatically generated scores for valence and arousal of the Facereader (FR; Noldus Information Technology) with the current psychophysiological gold standard of measuring emotional valence (Facial Electromyography, EMG) and arousal (Skin Conductance, SC).

Techniques:

Mean  Facereader  arousal and skin conductance (standard deviations in parenthesis, 95% confidence intervals in square brackets, difference to baseline in arbitrary units [AU] or microsiemens [μS]), separately for time windows and stimulus categories.

Journal: Frontiers in Psychology

Article Title: Read My Face: Automatic Facial Coding Versus Psychophysiological Indicators of Emotional Valence and Arousal

doi: 10.3389/fpsyg.2020.01388

Figure Lengend Snippet: Mean Facereader arousal and skin conductance (standard deviations in parenthesis, 95% confidence intervals in square brackets, difference to baseline in arbitrary units [AU] or microsiemens [μS]), separately for time windows and stimulus categories.

Article Snippet: We compared automatically generated scores for valence and arousal of the Facereader (FR; Noldus Information Technology) with the current psychophysiological gold standard of measuring emotional valence (Facial Electromyography, EMG) and arousal (Skin Conductance, SC).

Techniques:

Correlation between valence ratings and Facereader Valence (A) , valence ratings and Electromyography Delta (B) as well as between arousal ratings and Facereader Arousal (C) , arousal ratings and Skin Conductance (D) . Values indicate z -standardized mean values per stimulus.

Journal: Frontiers in Psychology

Article Title: Read My Face: Automatic Facial Coding Versus Psychophysiological Indicators of Emotional Valence and Arousal

doi: 10.3389/fpsyg.2020.01388

Figure Lengend Snippet: Correlation between valence ratings and Facereader Valence (A) , valence ratings and Electromyography Delta (B) as well as between arousal ratings and Facereader Arousal (C) , arousal ratings and Skin Conductance (D) . Values indicate z -standardized mean values per stimulus.

Article Snippet: We compared automatically generated scores for valence and arousal of the Facereader (FR; Noldus Information Technology) with the current psychophysiological gold standard of measuring emotional valence (Facial Electromyography, EMG) and arousal (Skin Conductance, SC).

Techniques: