At MUM 2017, the 16th International Conference on Mobile and Ubiquitous Multimedia, we will have two Workshops. All important dates are displayed on the organizers' webpages (see below):
|Workshop Day||November 26, 2017|
W126. Nov 2017 09:00 - 17:00
The workshop covers multiple disciplines that come together to nurture the developing field of Character Computing. Contributions from any of (but not limited to) the following fields are welcome: Affective Computing, Personality Computing, Cognitive Computing, Psychology, Biotechnology, Machine Learning, Data Science, Adaptive Systems, Personified Interfaces.
Organizers: Alia el Bolock, German University in Cairo, Egypt; Jailan Salah, German University in Cairo, Egypt; Slim Abdennadher, German University in Cairo, Egypt; Yomna Abdelrahman, University of Stuttgart, Germany.
W226. Nov 2017 10:00 - 17:00
This workshop will investigate approaches towards smart attention management systems. We will discuss the fundamental challenges of smart notifications and the design of proactive notification mechanisms. We invite submissions that focus on the understanding of users and their current, mobile information handling.
Organizers: Dominik Weber, University of Stuttgart; Alexandra Voit, University of Stuttgart; Anja Exler, Karlsruhe Institute of Technology; Svenja Schröder, University of Vienna; Matthias Böhmer, TH Köln; Tadashi Okoshi, Keio University.
T126. Nov 2017 09:00 - 13:30
One key feature of TensorFlow includes the possibility to compile the trained model to run efficiently on mobile phones. This enables a wide range of opportunities for researchers and developers. In this tutorial, we teach attendees two basic steps to run neural networks on a mobile phone: Firstly, we will teach how to develop neural network architectures and train them in TensorFlow. Secondly, we show the process to run the trained models on a mobile phone.
Organizers: Huy Viet Le, Sven Mayer and Niels Henze; University of Stuttgart, Germany.
T226. Nov 2017 14:30 - 17:00
Reading The Mobile Brain: From Laboratory To Real-World Electroencephalography
It is increasingly viable to measure the brain activity of mobile users, as they go about their everyday business in their natural world environment. This is due to: (i) modern signal processing methods, (ii) lightweight and cost-effective measurement devices, and (iii) a better, albeit incomplete, understanding of how measurable brain activity relates to mental processes. Here, we address how brain activity can be measured in mobile users and how this contrasts with measurements obtained under controlled laboratory conditions.
Organizers: Christiane Glatz, Max Planck Institute; Thomas Kosch, LMU Munich; Marie Lahmer, Jonas Ditz, Max Planck Institute; Albrecht Schmidt, LMU Munich; Lewis Chuang, Max Planck Institute.