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A Facial response Database including local Facial expression and Biosignal responses (FDFB)
Acquisition date: 2016. 10 - 2016. 11
dataset description
The FDFB dataset is emotional response database that include user's biosignal and local facial expression. The users were emotionally triggered by watching 32 video clips with two-min length. these 32 video clips were selected from 40 video clips by online survey.
The number of subjected in the database is 20. we attached a glasses-typed wearable device on subject to measure emotional responses on face. the acquired facial responses include photoplethysmogram(PPG) on earlobe, electrodermal activity(EDA) on nose-mastoid, and local facial expression captured by built-in camera. We also measured emotional responses on reference location, the reference signal include photoplethysmogram(PPG) on fingers, electrodermal activity(EDA) on fingers, and electroencephalography(EEG).
dataset content
- 40 emotional video clip(only 32 video clips were used for the stimulus)
- 8 neutral video clip
- Arousal, valence ratings acquired by the online survey for selecting 32 emotional video clips
Emotional responses of 20 subjects:
- Emotional responses acquired from the glasses-typed wearable device
- Local facial expression(MAT file)
- PPG signal from earlobe(CSV file)
- EDA signal from nose and mastoid(CSV file)
- Emotional responses acquired from the reference location
- biosignal on reference location(BDF file)
- PPG signal from fingers
- EDA signal from fingers
- EEG signal
- Arousal, valence self-report ratings after watching emotional video clip.
if you are interested in the FDFB dataset, please mail to g15007@kist.re.kr
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Sample data and code: triple-blink, SSVEP, and EMG (A Hybrid BCI based Meal-Assist Robot system)
https://github.com/devhaji/HBCI_MAR_Sample
Offline experimental data and code: Hybrid BCI (SSVEP, Eye-blink, EMG) based meal assist robot
All data are preprocessed.
Sub#_SSVEP.mat: preprocessed SSVEP data
Sub#_EB.mat : preprocessed triple blink data
Sub#_EMG.mat : preprocessed EMG data
Sub#_EBEMG_all.mat : preprocessed EB EMG data for FPR calculation
EMSI.m : EMSI algorithm by H.Kim (hanyang university prof. C.H.Im)
SSVEP_Accuracy.m : Calculate SSVEP accuracy
EB_EMG_Accuracy_W.m : Calculate EB/EMG accuracy
EB_EMG_FPR_W.m : Calculate EB/EMG FPR
if you are interested in this study, please mail to hj910410@kist.re.kr