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Sports Informatics Data Collection and Analysis (thesis)


Description Analysis of a range of bio- and behavioural signals can provide rich information into the effectiveness and quality of different exercise programs. However care needs to be taken when collecting such data to assure effectives of subsequent analysis.
Task Design effective data collection paradigms to collect multisensory information from a wide array of device from individuals performing different sport activities.
Utilises A range of different software
Requirements Prior in signal analysis and machine learning a plus
Languages English
Supervisor Dr. Nicholas Cummins (nicholas.cummins@informatik.uni-augsburg.de)