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Towards Robust Activity Recognition for Everyday Life: Methods and Evaluation
German Research Center for Artificial Intelligence (DFKI), Kaiserslautern, Germany.
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.ORCID iD: 0000-0002-1971-4295
German Research Center for Artificial Intelligence (DFKI), Kaiserslautern, Germany.
2013 (English)In: 7th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth), 2013, IEEE , 2013, 25-32 p.Conference paper, Published paper (Refereed)
Abstract [en]

The monitoring of physical activities under realistic, everyday life conditions - thus while an individual follows his regular daily routine - is usually neglected or even completely ignored. Therefore, this paper investigates the development and evaluation of robust methods for everyday life scenarios, with focus on the task of aerobic activity recognition. Two important aspects of robustness are investigated: dealing with various (unknown) other activities and subject independency. Methods to handle these issues are proposed and compared, a thorough evaluation simulates usual everyday scenarios of the usage of activity recognition applications. Moreover, a new evaluation technique is introduced (leave-one-other-activity-out) to simulate when an activity recognition system is used while performing a previously unknown activity. Through applying the proposed methods it is possible to design a robust physical activity recognition system with the desired generalization characteristic.

Place, publisher, year, edition, pages
IEEE , 2013. 25-32 p.
National Category
Signal Processing Information Systems
Identifiers
URN: urn:nbn:se:liu:diva-97303DOI: 10.4108/icst.pervasivehealth.2013.251928ISBN: 978-1-4799-0296-5 (print)ISBN: e-978-1-936968-80-0 OAI: oai:DiVA.org:liu-97303DiVA: diva2:646275
Conference
7th International Conference on Pervasive Computing Technologies for Healthcare and Workshops, PervasiveHealth 2013; Venice; Italy
Available from: 2013-09-07 Created: 2013-09-07 Last updated: 2015-09-22

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