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doi:10.1007/978-3-031-21236-9_1

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Hayford Perry Fordson, Katherine Gardhouse, Nicholas, Cicero, Junichi Chikazoe, Eve DeRosa, and Adam Anderson, "A Novel Deep Learning Based Emotion Recognition Approach To Well Being from Fingertip Blood Volume Pulse", Proceedings of the 2022 IEEE International Conference on Machine Learning and Cybernetics (ICMLC) 2022. pp. 130-137.

doi:101109/ICMLC56445.2022.9941301

 

Hayford Perry Fordson, Xiaofen Xing, Kailing Guo and Xiangmin Xu. "Emotion Recognition With Knowledge Graph Based on Electrodermal Activity", Front. Neurosci. 16:911767. pp 1-12 (2022).

doi: 10.3389/fnins.2022.865201

 

Hayford Perry Fordson, Xiaofen Xing, Kailing Guo and Xiangmin Xu. "Not All Electrode Channels Are Needed: Knowledge Transfer From Only Stimulated Brain Regions for EEG Emotion Recognition", Front. Neurosci.16:865201. pp. 1-13 (2022).

doi:103389/fnins.2022.911767

 

Hayford Perry Fordson, Xiaofen Xing, Kailing Guo and Xiangmin Xu "A Feature Learning Approach Based on Multimodal Human Body Data for Emotion Recognition", 2021 IEEE Signal Processing in Medicine and Biology Symposium (SPMB) 2021, pp. 1-6. doi:10.1109/spmb52430.2021.9672303

 

Shuzhen Li, Xiaofen Xing, Weiquan Fan, Bolun Cai, Perry Fordson, and Xiangmin Xu. “Spatiotemporal and frequential cascaded attention networks for speech emotion recognition", Neurocomputing 448 (2021) 238-248.

doi: 10.1016/j.neucom2021.02.094.