A practice-based research is presented investigating a method of teaching CI-recipients to play the piano with the goal of improving their aural perception. The method is based on the concept of ideomotor learning i.e. the development of a neural association between music and the movement that produces …

Het doel van dit onderzoek is te onderzoeken onder welke omstandigheden en onder welke condities relatief moderne modelleringstechnieken zoals support vector machines, neural networks en random forests voordelen zouden kunnen hebben in medisch-wetenschappelijk onderzoek en in de medische praktijk in …

The implementation of computer games in physical therapy is motivated by characteristics such as attractiveness, motivation, and engagement, but these do not guarantee the intended therapeutic effect of the interventions. Yet, these characteristics are important variables in physical therapy interventions …

In this short paper, we address the interpretability of hidden layer representations in deep text mining: deep neural networks applied to text mining tasks. Following earlier work predating deep learning methods, we exploit the internal neural network activation (latent) space as a source for performing …

In 2017 Volvo will deliver 100 self-driving cars as part of the Drive Me project. These cars will be able to drive autonomously on the ring road of Gothenburg, without requiring any driver supervision. To realize this vision, the cars need different algorithms to recognize, and be able to react to, different …

Background Exergames are becoming an increasingly popular tool for training balance ability, thereby preventing falls in older adults. Automatic, real time, assessment of the user's balance control offers opportunities in terms of providing targeted feedback and dynamically adjusting the gameplay to …

Doctoral thesis about the neural basis of emotion processing and regulation in groups at increased risk for psychosis.

Anomaly detection is a key factor in the processing of large amounts of sensor data from Wireless Sensor Networks (WSN). Efficient anomaly detection algorithms can be devised performing online node-local computations and reducing communication overhead, thus improving the use of the limited hardware …