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

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

Journal: Journal of Medical Systems

Article Title: Validity of the Empatica E4 Wristband to Measure Heart Rate Variability (HRV) Parameters: a Comparison to Electrocardiography (ECG)

doi: 10.1007/s10916-020-01648-w

Figure Lengend Snippet: Block diagram for the Empatica E4 wristband. Note. BVP = blood volume pulse, EDA = electrodermal activity, HF = high frequency, HR = heart rate, IBI = inter beat interval, LF = low frequency, LF/HF = ratio between low and high frequency, RMSSD = root mean squared differences of successive difference of intervals, SDNN = standard deviation of the normal to normal interval

Article Snippet: The Empatica E4 wristband contains four sensors: (1) an electrode for Electrodermal activity (EDA), (2) 3-axis accelerometer, (3) a temperature sensor, and (4) a photoplethysmography (PPG) to measure blood volume pulse (BVP) from which it derives HR and the inter beat interval (IBI) ([ ]; see Fig. ).

Techniques: Blocking Assay, Activity Assay, Standard Deviation

Journal: Journal of Medical Systems

Article Title: Validity of the Empatica E4 Wristband to Measure Heart Rate Variability (HRV) Parameters: a Comparison to Electrocardiography (ECG)

doi: 10.1007/s10916-020-01648-w

Figure Lengend Snippet: Signal comparison of ANS parameters obtained from VU-AMS and Empatica E4 recordings ( N = 345)

Article Snippet: The Empatica E4 wristband contains four sensors: (1) an electrode for Electrodermal activity (EDA), (2) 3-axis accelerometer, (3) a temperature sensor, and (4) a photoplethysmography (PPG) to measure blood volume pulse (BVP) from which it derives HR and the inter beat interval (IBI) ([ ]; see Fig. ).

Techniques:

Journal: Journal of Medical Systems

Article Title: Validity of the Empatica E4 Wristband to Measure Heart Rate Variability (HRV) Parameters: a Comparison to Electrocardiography (ECG)

doi: 10.1007/s10916-020-01648-w

Figure Lengend Snippet: Differences between resting and meditation ANS parameters obtained from the VU-AMS and Empatica E4 per condition

Article Snippet: The Empatica E4 wristband contains four sensors: (1) an electrode for Electrodermal activity (EDA), (2) 3-axis accelerometer, (3) a temperature sensor, and (4) a photoplethysmography (PPG) to measure blood volume pulse (BVP) from which it derives HR and the inter beat interval (IBI) ([ ]; see Fig. ).

Techniques: