Ta teden nam bo na predavanju Piškot Christine Martindale iz Friedrich-Alexander Universität v Nemčiji predstavila napredne pristope za mobilno analizo hoje.

Vabljeni v četrtek, 3. avgusta, ob 14.15 v predavalnico 20 na FRI! 

Why is mobile gait analysis not a closed book?

Povzetek:

Mobile gait analysis is a well-known area with publications regarding applications in the medical field for groups such as the elderly and Parkinsons patients, and on the fitness side, running applications and smart watches. However, there are still challenges to overcome in order to achieve mobile gait analysis for heterogenous diseases such as those displaying spastic gait. On the fitness and athlete side, there is still no widely applicable solution to the need for accurate and realistic training data. Her research work begins to address a solution for mobile gait analysis for Hereditary Spastic Paraplegic gait and, in collaboration with Assist. Prof. Sebastijan Šprager, semi-supervised learning methods to reduce the need for large volumes of labeled data for training of clinically applicable mobile gait analysis solutions.

O predavateljici:

Christine Martindale, born in 1990 in Harare, Zimbabwe, earned her bachelor's (with honours) and M.Sc. degrees in Mechatronics Engineering and Electrical Engineering at the University of Cape Town in 2012 and 2013, respectively. She received a second M.Sc. degree in Biomedical Engineering in 2014 from the Imperial College of London as a Beit scholar. She is currently pursuing her PhD in Computer Science within the Machine Learning and Data Analytics Lab at the Friedrich-Alexander Universität, Erlangen-Nürnberg, under the supervision of Prof. Bjoern Eskofier. In London, her research focused on simultaneous therapy and imaging using a single ultrasound transducer. Currently, her research focuses on machine learning in mobile gait analysis.