Segmentation of Gait Sequences in Sensor-Based Movement Analysis: A Comparison of Methods in Parkinson’s Disease

Haji Ghassemi N, Hannink J, Martindale C, Gaßner H, Müller M, Klucken J, Eskofier B (2018)

Publication Language: English

Publication Type: Journal article, Original article

Publication year: 2018

Journal

Sensors MDPI

URI: http://www.mdpi.com/1424-8220/18/1/145

DOI: 10.3390/s18010145

Authors with CRIS profile

Nooshin Haji Ghassemi Lehrstuhl für Informatik 14 (Bild- und Sprachverarbeitung) Julius Hannink Lehrstuhl für Informatik 14 (Bild- und Sprachverarbeitung) Christine Martindale Lehrstuhl für Informatik 14 (Bild- und Sprachverarbeitung) Heiko Gaßner Department of Molecular Neurology Meinard Müller International Audio Laboratories Erlangen (AudioLabs) Jochen Klucken Department of Molecular Neurology Björn Eskofier Lehrstuhl für Informatik 14 (Machine Learning and Data Analytics)

Additional Organisation(s)

Machine Learning and Data Analytics Lab

How to cite

APA:

Haji Ghassemi, N., Hannink, J., Martindale, C., Gaßner, H., Müller, M., Klucken, J., & Eskofier, B. (2018). Segmentation of Gait Sequences in Sensor-Based Movement Analysis: A Comparison of Methods in Parkinson’s Disease. Sensors. https://dx.doi.org/10.3390/s18010145

MLA:

Haji Ghassemi, Nooshin, et al. "Segmentation of Gait Sequences in Sensor-Based Movement Analysis: A Comparison of Methods in Parkinson’s Disease." Sensors (2018).

BibTeX: Download