Acquisition and annotation of a multimodal-multisensory data set of human-passive rollator-
carer interactions have enabled the analysis of related human behavioural patterns and the …

Starting from the famous" Put That There!" demonstration prototype, developed by the
Architecture Machine Group at MIT in the late 1970s, the growing potential of multimodal …

The MOBOT project has envisioned the development of cognitive robotic assistant
prototypes that act proactively, adaptively and interactively with respect to elderly humans …

The ethical decisions behind the acquisition and analysis of audio, video or physiological
human data, harnessed for (deep) machine learning algorithms, is an increasing concern for …

The mere availability of most musical heritage as image documents or audio recordings
does not enable tasks such as indexing or editing unless they are transcribed into a …

We present in this paper a new approach for human-action extraction and recognition in a
multi-modal context. Our solution contains two modules. The first one applies temporal …

Recently multimodal information fusion systems are popularly used to increase the reliability
of recognition systems. These systems employ data from different modalities. Since different …

The term “multimodal music dataset” is often used to describe music-related data that
represent music as a multimedia art form and multimodal experience. However, the term …

In this thesis we consider an Activity recognition problem for Cross-Country Skiing; the goal
of this work is to recognize different types of Cross Country techniques from inertial sensors …

ACKNOWLEDGEMENTS I would first like to thank Vassilis Athitsos—my advisor, my mentor,
my reality check, and my friend—for his sound guidance, his steadfast support, his patience …