@inproceedings{5dd9ed36cd7a4f348abaa88f844b90c3,
title = "Emotion-Aroused Human Behaviors Perception Using RNNPB",
abstract = "This paper proposes a novel framework to recognize emotions using the algorithm of a recurrent neural network with parameter bias (RNNPB). For this purpose, we performed three simulation experiments aim to explore the relationship between the perception and action. Three types of emotion-driven sequences are fed into the network for training. The training of RNNPB utilizes back-propagation through time (BPTT) method and the parametric bias unit (PB unit) updates in a self-organizing way. The results of the experiments show that the merged sequences can distinguish the emotion better compared to the other two kinds of information.",
keywords = "BPTT, Emotion Recognition, RNNPB",
author = "Jie Li and Chenguang Yang and Junpei Zhong and Shilu Dai",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 10th International Conference on Modelling, Identification and Control, ICMIC 2018 ; Conference date: 02-07-2018 Through 04-07-2018",
year = "2018",
month = nov,
day = "9",
doi = "10.1109/ICMIC.2018.8529875",
language = "English",
series = "10th International Conference on Modelling, Identification and Control, ICMIC 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "10th International Conference on Modelling, Identification and Control, ICMIC 2018",
}