Proposal and experimental evaluation of fall detection solution based on wearable and depth data fusion
2016 (English)In: ICT Innovations 2015: Emerging Technologies For Better Living, Springer, 2016, Vol. 399, 99-108 p.Conference paper (Refereed)Text
Fall injury issues represent a serious problem for elderly in our society. These people want to live in their home as long as possible and technology can improve their security and independence. In this work we study the joint use of a camera based system and wearable devices, in the so called data fusion approach, to design a fall detection solution. The synchronization issues between the heterogeneous data provided by the devices are properly treated, and three different fall detection algorithms are implemented. Experimental results are also provided, to compare the proposed solutions.
Place, publisher, year, edition, pages
Springer, 2016. Vol. 399, 99-108 p.
, Advances in Intelligent Systems and Computing, ISSN 2194-5357 ; 399
Data fusion, Depth camera, Fall detection, Inertial sensor, Synchronization
Computer Systems Geriatrics
IdentifiersURN: urn:nbn:se:kth:diva-181123DOI: 10.1007/978-3-319-25733-4_11ISI: 000378027100011ISBN: 978-3-319-25733-4ISBN: 978-3-319-25731-0OAI: oai:DiVA.org:kth-181123DiVA: diva2:901020
7th International Conference on Information and Communication Technologies, ICT 2015, Ohrid, Macedonia, 1 October 2015 through 4 October 2015
Funding Details: IC1303, COST, European Cooperation in Science and Technology
QC 201602052016-02-052016-01-292016-07-18Bibliographically approved