A pre-trained machine learning model that has been tuned for sentiment classification of opinionated utterances.
Learn more...Classifies the facial expression of the Patient, providing valuable insides to the clinician about emotional incongruities.
Learn more...Developed to detect activities of daily living (ADLs) using acceleration data obtained from wearable inertial sensors.
Learn more...Make predictions about a future health status of PMSS (Parkinson’s Disease, Multiple Sclerosis and Stroke) patients, given a history of tracked predictor variables.
Learn more...Sleep Analysis Toolkit that is focusing on the analysis and assessment of sleep data with respect to PD sleep disorders.
Learn more...Serves as the sole point of interaction with the semantic model (i.e., ontology) and the knowledge stored in it.
Learn more...A deep learning computer vision model, suitable for edge devices, that has been trained to recognise the mood of the user given their facial expression. The model has been developed to run as a background service of other mobile applications.
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