An action recognition system has many applications, ranging from security to sign language interpretation. If a subject's body pose can be tracked in streams of video, a wealth of information about possible actions can ...

Brain oscillations are known to re ect uctuations of low and high excitability states in neuronal populations. These oscillations can adjust to the surrounding environment such that high excitability states co-occur ...

Humans often stabilize objects by co-contraction, also known as the activation of opposing muscles. With more muscle activation there is also more limb stiffness. More muscle activation requires more energy. Several ...

This thesis project studied the effects of exclusion learning when learning L2 vocabulary. This method was implemented in a multiple choice flashcard application along with a control algorithm. The exclusion algorithm ...

The perception of upright can be biased by the visual context. The extent of the bias is linked to the functioning of the vestibular organ. The rod-in-frame task is an excellent method to test this biasing effect. The ...

As machine learning systems grow to take up ever more space in our everyday lives, ensuring that they are aligned with human values became an important topic. One issue of automatic systems which learn from large amount ...

A key challenge in developing companion agents for children is keeping them inter- ested after novelty e ects wear o . Self-Determination Theory posits that motivation is sustained if the human feels related to the agent. ...

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This thesis presents an investigation of how environmental settings influence the appearance of altruism within small groups of agents. A set of simulation environments has been setup in which agents can perform simple ...

In this thesis we propose a 3D apparent personality prediction model as extension of the multimodal residual neural network used for first impression analysis by Güçlütürk et al. [1]. The original model was trained on ...