Support Vector Machines: What they do and their best ‘trick’

In the past years machine learning has been used to address many different problems in neuroscience. When we talk about classification, several algorithms have been proposed for specific tasks. For instance, in Starlab we have used discriminative learning algorithms for EEG/ECG classification (e.g. neurodegenerative diseases) or time-series classification. This type of algorithms model the dependence […]

Visual Perception

The most important component of a digital camera is the image sensor. Nowadays CCD and CMOS sensors monopolise the digital market. Those sensors capture a continuous signal—the light—which is converted through a filtering process into discrete signals. Within this process, simplified here in one line, the element that controls the white balance level is key. The same […]

Face detection libraries: A qualitative evaluation

Neurokai’s services offer different solutions for industrial and academic researchers. Our Experience Lab service focuses on providing a custom solution for emotion recognition based on a multimodal system (EEG, ECG, GSR and facial). In order to develop our vision-based emotion recognition system, integrated within the multimodal one, we analysed several libraries for face detection. The […]

Vision-based emotion recognition

How many times would you have liked to know what the person in front of you was feeling? Perhaps, you were criticizing a specific brand in an interview, and the guy just in front of you was a self-devoted user of this brand. Or the other way around: the interviewer was interested on knowing what […]