Download Our App
About Us
Human Activity Recognition has been researched in thousands of papers so far, with mobile / environmental sensors in ubiquitous / pervasive domains, and with cameras in vision domains. As well, Human Behavior Analysis is also explored for long-term health care, rehabilitation, emotion recognition, human interaction, and so on. However, many research challenges remain for realistic settings, such as complex and ambiguous activities / behavior, optimal sensor combinations, (deep) machine learning, data collection, platform systems, and killer applications.
WHY WORK FOR US
Machines recognising our activity and affect bear great potential from improved human-computer interaction to multimedia retrieval, health monitoring, and many more. Here, starting with the history of Affective Computing in particular, we shall move to the state-of-the-art in technical modelling. This will be supported by results and findings from recent competitive research challenges in the field. From this,
WHAT ARE WE LOOKING FOR IN YOUTH
Björn W. Schuller received his diploma, doctoral degree, habilitation, and Adjunct Teaching Professor in Machine Intelligence and Signal Processing all in EE/IT from TUM in Munich/Germany. He is Full Professor of Artificial Intelligence and the Head of GLAM - the Group on Language, Audio, & Music - at Imperial College London/UK, Full Professor and Chair of Embedded Intelligence for Health Care and Wellbeing at the University of Augsburg/Germany, co-founding CEO and current CSO of audEERING – an Audio Intelligence company based near Munich and in Berlin
OFFICE LOCATION
Adelaide , Adelaide Convention Centre,
North Terrace, Adelaide,
South Australia
Australia , 5000,
(Join this Talent Community today to get the latest updates, news, and job opportunities!)
Are you hiring?
Post a job
It's free*
