@inproceedings{c2389688f18843a683b9b06a05cdad5d,
title = "Emotion Recognition in the Wild from Long-term Heart Rate Recording using Wearable Sensor and Deep Learning Ensemble Classification",
abstract = "Long-term, continuous physiological recordings are currently being intensely investigated for tracking emotions. Emotional valence has been of more interest due to its relevance to cardiac and neurophysiological disease. In this research, multiple configurable convolutional neural networks (CNNs) were developed for different image-encoding techniques used as their input. Ensemble classification was then used to achieve a combined performance of the multiple CNNs by training a simple support vector machine (SVM) classifier using the last output layers of the CNNs as its input. Valence-labelled signals from the heart rate (HR) recorded using a wearable sensor from a wristband in a daily setting for one week from 80 participants were used for the image transforms. Accuracies of more than 91% were achieved with the classification ensembling, showing an improvement of the binary classification of emotional valence by more than 19% compared to using CNNs on their own.",
keywords = "convolutional neural network, deep learning, emotion recognition, emotional valence, ensemble classification, heart rate, wearable sensor",
author = "Nasrat, {Sara A.} and Uichin Lee and Zitouni, {M. Sami} and Khandoker, {Ahsan H.} and Soowon Kang and Jelinek, {Herbert F.}",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2021 ; Conference date: 09-12-2021 Through 12-12-2021",
year = "2021",
doi = "10.1109/BIBM52615.2021.9669553",
language = "British English",
series = "Proceedings - 2021 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2021",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1676--1678",
editor = "Yufei Huang and Lukasz Kurgan and Feng Luo and Hu, {Xiaohua Tony} and Yidong Chen and Edward Dougherty and Andrzej Kloczkowski and Yaohang Li",
booktitle = "Proceedings - 2021 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2021",
address = "United States",
}