Recently, the use of mobile devices has become increasingly popular in the field of emotion recognition. With the creation of large spontaneous multimodal databases, there has been a recent push towards using multimodal data for affect recognition. Along with this push, BCI technologies are becoming more ubiquitous and affordable, which has allowed researchers, designers, and developers to extend affective BCI research in human-computer interaction with an emphasis on multimodal interaction.

By leveraging different measurement tools, such as cameras and physiological sensors we will be able to more accurately classify emotions. Investigation into this can help us advance how these measurements obtained in mobile devices and be used for user feedback for self-regulation. Considering this, the purpose of this workshop is to spark a conversation on how to advance such measurements, specifically for emotion recognition and not mood, with mobile devices and wearables.

Important Dates:

Submission Deadline:July 27, 2018 Extended until August 6th, 2018
Notification of Acceptance:August 10, 2018
Camera Ready:August 17, 2018
Workshop Date: October 8, 2018

For questions, contact Shaun Canavan at scanavan@usf.edu.