Using articulated speech EEG signals for imagined speech decoding

Brain-Computer Interfaces (BCIs) open avenues for communication among individuals unable to use voice or gestures. Silent speech interfaces are one such approach for BCIs that could offer a trans- formative means of connecting with the external world. Performance on imagined speech decoding however is rather low due to, amongst others, data...

A Living Lab for Flow: An architectural meta exploration on the optimal mental state for well-being

This Master's thesis project is conceived in two parts. <br/><br/>The first part is the research project and is titled &lt;&lt;The Art of Acquiring Flow&gt;&gt; where the study assesses an architect’s ability to experience ‘design flow’, during the ideation phase, based on the type of design tool utilized. In order to test the hypothesis, I...

3 Factor Authentication Using a Dry-Electrode In-Ear Electroencephalography recorder: A research on the feasibility of several classification methods

This bachelor end project thesis is describing ways to use dry-electrode electroencephalography (EEG) measurements for authentication. There are five proposed methods based on the literature study, which in this report are called: ’frequency tagging’, ’pseudowords’, ’familiar music’, ’mental tasks’, and ’emotions’. First, all methods were tested...

Graph analysis of resting state EEG functional networks

Migraine is associated with brain dysfunction, possibly due to disturbances in the interactions between distributed cortical regions. Detection of these disturbances in the topological organization of the brain’s functional network would contribute to further understanding of migraine pathophysiology. Altered cortical responses to external...

PLOT Perception: Perceiving Liveability through Objective Technology

Current mobile sensory technology allows us to track eye movement and measure physiological activities in our body. There are several studies conducted in how our body reacts to certain environments by using skin conduction (Nold, 2009) or EEG sensors (Mavros, P., Austwick, M.Z. &amp; Smith, A.H. (2016). Although these methods are fairly new in...

Analyzing psychophysical and electrophysiological data using mixed-effect models: Quantification of stimulus processing using intra-epidermal electrodes

Background: One of the biggest challenges of analyzing electroencephalogram (EEG) data in pain processing is the low signal-to-noise ratio (SNR). A common method to increase the SNR is to average time-locked responses over repeated trials. Unfortunately, relevant information is lost due to averaging. In addition, EEG responses are influenced by...

Nonlinearity in the Light Processing of the Human Visual System

Visual evoked potentials, i.e responses to visual stimulation as recorded using electroencephalography have indicated the existence of nonlinear behavior of the visual pathway. Nonlinearities and time delay in the visual system play an important role in understanding the complex nature of the visual system. This study investigated the nonlinear...