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Affective Computing researchers win Best Paper Award at IEEE BHI 2019

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Terumi Umematsu

Terumi Umematsu 

by Chia Evers

May 24, 2019

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"Improving Students' Daily Life Stress Forecasting using LSTM Neural Networks," by Terumi Umematsu, Akane Sano, Sara Taylor, and Rosalind W. Picard, won the Best Paper Award, 1st prize, at the 2019 IEEE International Conference on Biomedical and Health Informatics (BHI) in Chicago.  

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Terumi Umematsu

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Umematsu, T., Sano, A., Taylor, S., and Picard, R. "Improving Students' Daily Life Stress Forecasting using LSTM Neural Networks." IEEE International Conference on Biomedical and Health Informatics (BHI), Chicago, Illinois, May 2019. (BEST PAPER AWARD - 1st Prize)
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