In recent years, exercise games have been criticized for not being able to engage their players into levels of physical activity that are high enough to yield health benefits. A major challenge in the design of exergames, however, is that it is difficult to assess the amount of physical activity an exergame yields due to limitations of existing techniques to assess energy expenditure of exergam...

Non-intrusive speech intelligibility (SI) prediction from binaural signals is useful in many applications. However, most existing signal-based measures are designed to be applied single-channel signals. Measures specifically take into account the properties of signal often intrusive - characterised by requiring access a clean and typically rely on combining both channels before making predictio...

“Can we watermark without perturbing an image?” We present the salient results of the investigation carried out to find an answer to this question.

Automatic prediction of speech intelligibility is highly desirable in the speech research community, since listening tests are timeconsuming and can not be used online. Most of the available objective speech intelligibility measures are intrusive methods, as they require a clean reference signal in addition to the corresponding noisy/processed signal at hand. In order to overcome the problem of...

Following a low cost and non-intrusive approach, in this paper we discuss how prediction rates from 5 different data mining algorithms using 4 different emotional labeling approaches differ when exploring the usage of keyboard and mouse interaction sources for affective states detection in a math problem solving experiment.

After psychological trauma, why do some only some parts of the traumatic event return as intrusive memories while others do not? Intrusive memories are key to cognitive behavioural treatment for post-traumatic stress disorder, and an aetiological understanding is warranted. We present here analyses using multivariate pattern analysis (MVPA) and a machine learning classifier to investigate wheth...