An Emotion Recognition System Based on Physiological Signals Obtained by Wearable Sensors

Author(s):  
Cheng He ◽  
Yun-jin Yao ◽  
Xue-song Ye
Sensors ◽  
2018 ◽  
Vol 18 (6) ◽  
pp. 1905 ◽  
Author(s):  
Mouhannad Ali ◽  
Fadi Machot ◽  
Ahmad Mosa ◽  
Midhat Jdeed ◽  
Elyan Machot ◽  
...  

2013 ◽  
Vol 380-384 ◽  
pp. 3750-3753 ◽  
Author(s):  
Chun Yan Nie ◽  
Rui Li ◽  
Ju Wang

Changes of physiological signals are affected by human emotions, but also the emotional fluctuations are reflected by the body's variation of physiological signal's feature. Physiological signal is a non-linear signal ,nonlinear dynamics and biomedical engineering ,which based on chaos theory, providing us a new method for studying on the parameters of these complex physiological signals which can hardly described by the classical theory. This paper shows physiological emotion signal recognition system based on the chaotic characteristics, and than describes some current applications of chaotic characteristics for multiple physiological signals on emotional recognition.


2019 ◽  
Vol 13 (4) ◽  
pp. JAMDSM0075-JAMDSM0075 ◽  
Author(s):  
Jyun-Rong ZHUANG ◽  
Ya-Jing GUAN ◽  
Hayato NAGAYOSHI ◽  
Keiichi MURAMATSU ◽  
Keiichi WATANUKI ◽  
...  

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