Multimodal Autoencoder: A Deep Learning Approach to Filling In Missing Sensor Data and Enabling Better Mood Prediction

1 code implementation • 26 Oct 2017 • Natasha Jaques, Sara Taylor, Akane Sano, Rosalind W. Picard

To accomplish forecasting of mood in real-world situations, affective computing systems need to collect and learn from multimodal data collected over weeks or months of daily use.

Denoising