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The paper describes the steps involved in designing and implementing a mobile app for real time monitoring of mental stress using voice features and machine learning techniques. The app is easy to use and completely non-invasive. It is called StressID and it is available in the Google Play store. With the use of a server application presenting a web interface, interested parties may remotely monitor...
We developed a square wave based artificial neuron to take advantage of inexpensive and readily available Field Programmable Gate Array technologies. While conventional neurons require computationally intensive floating point arithmetic to determine the output, our artificial neuron converts inputs into square waves and the time that these waves require to produce a predetermined bit pattern is used...
We propose a non-parametric model for pedestrian motion based on Gaussian Process regression, in which trajectory data are modelled by regressing relative motion against current position. We show how the underlying model can be learned in an unsupervised fashion, demonstrating this on two databases collected from static surveillance cameras. We furthermore exemplify the use of model for prediction,...
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