Funding: Innovation Fund Denmark, Grand Solutions
Project partners: iMotions A/S, Cachet, Zealand University Hospital, Gillberg Neuropsychiatry Centre
Duration: 2017-2021
Summary:
The aim of this project is to develop a software infrastructure which can collect and aggregate data in-the-wild with data collected in-the-lab and prepare it for analysis, thereby empowering researchers to conduct biometric healthcare research more efficiently.
In addition to handling data ingestion and storage, the platform will allow researchers to define the studies they want to run: configuring the sensors and devices used for data collection, defining when data should be collected, and defining the stimuli and tasks to be presented to participants over the course of the experiment.
On the data analysis side, as part of the project we will introduce new methods for analyzing physiological signals, including machine learning techniques for detecting long-term patterns and changes in the patients'
condition.