PMID- 29891829
OWN - NLM
STAT- MEDLINE
DCOM- 20181009
LR  - 20191210
IS  - 1424-8220 (Electronic)
IS  - 1424-8220 (Linking)
VI  - 18
IP  - 6
DP  - 2018 Jun 11
TI  - A Globally Generalized Emotion Recognition System Involving Different 
      Physiological Signals.
LID - 10.3390/s18061905 [doi]
LID - 1905
AB  - Machine learning approaches for human emotion recognition have recently 
      demonstrated high performance. However, only/mostly for subject-dependent 
      approaches, in a variety of applications like advanced driver assisted systems, 
      smart homes and medical environments. Therefore, now the focus is shifted more 
      towards subject-independent approaches, which are more universal and where the 
      emotion recognition system is trained using a specific group of subjects and then 
      tested on totally new persons and thereby possibly while using other sensors of 
      same physiological signals in order to recognize their emotions. In this paper, 
      we explore a novel robust subject-independent human emotion recognition system, 
      which consists of two major models. The first one is an automatic feature 
      calibration model and the second one is a classification model based on Cellular 
      Neural Networks (CNN). The proposed system produces state-of-the-art results with 
      an accuracy rate between 80% and 89% when using the same elicitation materials 
      and physiological sensors brands for both training and testing and an accuracy 
      rate of 71.05% when the elicitation materials and physiological sensors brands 
      used in training are different from those used in training. Here, the following 
      physiological signals are involved: ECG (Electrocardiogram), EDA (Electrodermal 
      activity) and ST (Skin-Temperature).
FAU - Ali, Mouhannad
AU  - Ali M
AUID- ORCID: 0000-0001-7941-5900
AD  - Department of Smart Systems Technologies, Alpen-Adira University, Klagenfurt 
      9020, Austria. Mouhannad.Ali@aau.at.
FAU - Machot, Fadi Al
AU  - Machot FA
AD  - Research Center Borstel-Leibniz Center for Medicine and Biosciences, Borstel 
      23845, Germany. falmachot@fz-Borstel.de.
FAU - Mosa, Ahmad Haj
AU  - Mosa AH
AD  - Department of Smart Systems Technologies, Alpen-Adira University, Klagenfurt 
      9020, Austria. Ahmad.HajMosa@aau.at.
FAU - Jdeed, Midhat
AU  - Jdeed M
AD  - Department of Smart Systems Technologies, Alpen-Adira University, Klagenfurt 
      9020, Austria. midhat.jdeed@aau.at.
FAU - Machot, Elyan Al
AU  - Machot EA
AD  - Carl Gustav Carus Faculty of Medicine, Dresden University of Technology, Dresden 
      01069, Germany. Elyan.Al-Machot@uniklinikum-dresden.de.
FAU - Kyamakya, Kyandoghere
AU  - Kyamakya K
AD  - Department of Smart Systems Technologies, Alpen-Adira University, Klagenfurt 
      9020, Austria. kyandoghere.kyamakya@aau.at.
LA  - eng
PT  - Journal Article
DEP - 20180611
PL  - Switzerland
TA  - Sensors (Basel)
JT  - Sensors (Basel, Switzerland)
JID - 101204366
SB  - IM
MH  - Algorithms
MH  - Electric Conductivity
MH  - Electrocardiography
MH  - *Emotions/classification/physiology
MH  - Heart/physiology
MH  - Humans
MH  - *Neural Networks, Computer
MH  - Skin Temperature
PMC - PMC6021954
OTO - NOTNLM
OT  - cellular neural networks (CNN)
OT  - classification
OT  - dynamic calibration
OT  - emotion recognition
OT  - physiological signals
COIS- The authors declare no conflict of interest. Authors ensure that there are no 
      personal circumstances, interest or sponsors that may be perceived as 
      inappropriately influencing the representation or interpretation of reported 
      research results.
EDAT- 2018/06/13 06:00
MHDA- 2018/10/10 06:00
PMCR- 2018/06/01
CRDT- 2018/06/13 06:00
PHST- 2018/05/13 00:00 [received]
PHST- 2018/06/04 00:00 [revised]
PHST- 2018/06/07 00:00 [accepted]
PHST- 2018/06/13 06:00 [entrez]
PHST- 2018/06/13 06:00 [pubmed]
PHST- 2018/10/10 06:00 [medline]
PHST- 2018/06/01 00:00 [pmc-release]
AID - s18061905 [pii]
AID - sensors-18-01905 [pii]
AID - 10.3390/s18061905 [doi]
PST - epublish
SO  - Sensors (Basel). 2018 Jun 11;18(6):1905. doi: 10.3390/s18061905.