An important goal of pervasive computing is to seamlessly integrate devices into the users’ everyday life, and explore various approaches to understanding information about users and surrounding environments. The human emotion is one of the most crucial and attractive information for pervasive computing. In many application scenarios, it would be beneficial if the emotion states could be detected with embedded sensors in smartphones and wearable devices, in order to raise user awareness, as well as understand how these emotions influence users’ decision making and reasoning. However, the emotion detection has proved to be a complex and challenging task, and thus, varying difficulties, regarding sensing modalities, data analysis, and application, arise.

1. Sensing Modalities – what to sense and how to sense it with embedded sensors in mobile devices and/or biosensors in wearable devices.

2. Data analysis – different approaches to emotion detection based on different types of collected data.

3. Application – How to effectively use the emotion information in pervasive computing and context-aware applications.

While there have been contributions targeting some of these challenges, there are still unsolved problems. The proposed workshop will explore the challenges of sensing, modeling, recognition, and synthesis of emotion detection with embedded sensors in smartphones and wearable devices for pervasive computing. Therefore, we invite unique contributions addressing these challenges and provide a workshop to facilitate collaboration among research groups focusing on emotion detection for pervasive computing.