WTAI 2015 - Special Session on Wearable Technology and Artificial Intelligence for Mining Personal Data

Within today’s society, it is a common practice to capture, store and share almost every moment of our lives. The inception of wearable devices, such as cameras, body sensors and mobile phones, allows us to continually capture rich information about our surroundings and ourselves. As such, these devices offer an innovative, and less obtrusive, method for capturing content ubiquitously. Various pieces of information can be recorded in this manner, such as photos, videos and physiological readings. Bringing together such heterogeneous data enables a digital profile of our lives to be reconstructed from our collected digital objects. However, mining these personal records to derive meaning, context, learning and understanding is a challenge. Nevertheless, the application of artificial intelligence in this area provides us with a unique opportunity to develop novel solutions, which include much richer data processing capabilities, so that we can obtain meaning from our data. As such, there are still many challenges that remain that encompass a variety of areas and form part of the topics under this special session. The topics of interest for this special session include, but are not limited to:
Intelligent Systems for Creating Personal Records
Mobile and Wireless Communication
Wearable Systems
Human to Computer Interaction
Structuring and Organising Personal Data
Big Data Analytics
Signal Processing
Artificial Intelligence
Image Processing
Data Mining
Manuscripts should follow LNCS format with at most 12 pages. All accepted papers will be published by Springer-Verlag in the Lecture Notes in Computer Science (LNCS) series or a recommended SCI-indexed journal.