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Empatica Inc e4 interbeat interval (ibi
Sampling rate of signals and other data available in the Emognition dataset.
E4 Interbeat Interval (Ibi, supplied by Empatica Inc, 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/e4 interbeat interval (ibi/product/Empatica Inc
Average 90 stars, based on 1 article reviews
e4 interbeat interval (ibi - by Bioz Stars, 2026-03
90/100 stars

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1) Product Images from "Emognition dataset: emotion recognition with self-reports, facial expressions, and physiology using wearables"

Article Title: Emognition dataset: emotion recognition with self-reports, facial expressions, and physiology using wearables

Journal: Scientific Data

doi: 10.1038/s41597-022-01262-0

Sampling rate of signals and other data available in the Emognition dataset.
Figure Legend Snippet: Sampling rate of signals and other data available in the Emognition dataset.

Techniques Used: Sampling, Activity Assay

Examples of data available in the Emognition dataset: ( a ) physiological signals recorded with wearable devices: 4 x EEG (Muse 2); BVP, EDA, SKT (Empatica E4); raw BVP, processed BVP, HR (Samsung Watch); ACC from all devices; ( b ) upper-body recordings capturing the facial reactions to the stimuli, from the left: neutral, disgust, surprise; ( c ) facial landmarks generated with the OpenFace library facilitating emotion recognition from the face. The participant gave written consent to include her image in this article.
Figure Legend Snippet: Examples of data available in the Emognition dataset: ( a ) physiological signals recorded with wearable devices: 4 x EEG (Muse 2); BVP, EDA, SKT (Empatica E4); raw BVP, processed BVP, HR (Samsung Watch); ACC from all devices; ( b ) upper-body recordings capturing the facial reactions to the stimuli, from the left: neutral, disgust, surprise; ( c ) facial landmarks generated with the OpenFace library facilitating emotion recognition from the face. The participant gave written consent to include her image in this article.

Techniques Used: Generated



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Empatica Inc e4 interbeat interval (ibi
Sampling rate of signals and other data available in the Emognition dataset.
E4 Interbeat Interval (Ibi, supplied by Empatica Inc, 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/e4 interbeat interval (ibi/product/Empatica Inc
Average 90 stars, based on 1 article reviews
e4 interbeat interval (ibi - by Bioz Stars, 2026-03
90/100 stars
  Buy from Supplier

90
Empatica Inc interbeat interval ibi e4
Sampling rate of signals and other data available in the Emognition dataset.
Interbeat Interval Ibi E4, supplied by Empatica Inc, 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/interbeat interval ibi e4/product/Empatica Inc
Average 90 stars, based on 1 article reviews
interbeat interval ibi e4 - by Bioz Stars, 2026-03
90/100 stars
  Buy from Supplier

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Sampling rate of signals and other data available in the Emognition dataset.

Journal: Scientific Data

Article Title: Emognition dataset: emotion recognition with self-reports, facial expressions, and physiology using wearables

doi: 10.1038/s41597-022-01262-0

Figure Lengend Snippet: Sampling rate of signals and other data available in the Emognition dataset.

Article Snippet: At the end of each day, data from the smartphone was transferred to the secure disk; A wristband Empatica E4 monitoring blood volume pulse (BVP), interbeat interval (IBI), electrodermal activity (EDA), acceleration, and skin temperature (SKT).

Techniques: Sampling, Activity Assay

Examples of data available in the Emognition dataset: ( a ) physiological signals recorded with wearable devices: 4 x EEG (Muse 2); BVP, EDA, SKT (Empatica E4); raw BVP, processed BVP, HR (Samsung Watch); ACC from all devices; ( b ) upper-body recordings capturing the facial reactions to the stimuli, from the left: neutral, disgust, surprise; ( c ) facial landmarks generated with the OpenFace library facilitating emotion recognition from the face. The participant gave written consent to include her image in this article.

Journal: Scientific Data

Article Title: Emognition dataset: emotion recognition with self-reports, facial expressions, and physiology using wearables

doi: 10.1038/s41597-022-01262-0

Figure Lengend Snippet: Examples of data available in the Emognition dataset: ( a ) physiological signals recorded with wearable devices: 4 x EEG (Muse 2); BVP, EDA, SKT (Empatica E4); raw BVP, processed BVP, HR (Samsung Watch); ACC from all devices; ( b ) upper-body recordings capturing the facial reactions to the stimuli, from the left: neutral, disgust, surprise; ( c ) facial landmarks generated with the OpenFace library facilitating emotion recognition from the face. The participant gave written consent to include her image in this article.

Article Snippet: At the end of each day, data from the smartphone was transferred to the secure disk; A wristband Empatica E4 monitoring blood volume pulse (BVP), interbeat interval (IBI), electrodermal activity (EDA), acceleration, and skin temperature (SKT).

Techniques: Generated