Micro-doppler-based in-home aided and unaided walking recognition with multiple radar and sonar systems

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dc.contributor.authorGurbuz, S. Z.
dc.contributor.authorClemente, C.
dc.contributor.authorBalleri, Alessio
dc.contributor.authorSotaghan, J. J.
dc.date.accessioned2016-08-23T15:43:22Z
dc.date.available2016-08-23T15:43:22Z
dc.date.issued2016-08-23
dc.descriptionPublished in IET Radar, Sonar and Navigation. Online first 21/06/2016.en_UK
dc.description.abstractThe potential for using micro-Doppler signatures as a basis for distinguishing between aided and unaided gaits is considered in this study for the purpose of characterising normal elderly gait and assessment of patient recovery. In particular, five different classes of mobility are considered: normal unaided walking, walking with a limp, walking using a cane or tripod, walking with a walker, and using a wheelchair. This presents a challenging classification problem as the differences in micro-Doppler for these activities can be quite slight. Within this context, the performance of four different radar and sonar systems – a 40 kHz sonar, a 5.8 GHz wireless pulsed Doppler radar mote, a 10 GHz X-band continuous wave (CW) radar, and a 24 GHz CW radar – is evaluated using a broad range of features. Performance improvements using feature selection is addressed as well as the impact on performance of sensor placement and potential occlusion due to household objects. Results show that nearly 80% correct classification can be achieved with 10 s observations from the 24 GHz CW radar, whereas 86% performance can be achieved with 5 s observations of sonar.en_UK
dc.identifier.citationGurbuz SZ, Clemente C, Balleri A, Soraghan JJ. (2017) Micro-Doppler-based in-home aided and unaided walking recognition with multiple radar and sonar systems, IET Radar Sonar and Navigation, Volume 11, Issue 1, January 2017, pp. 107-115.
dc.identifier.urihttp://dspace.lib.cranfield.ac.uk/handle/1826/10399
dc.identifier.urihttps://doi.org/10.1049/iet-rsn.2016.0055
dc.rightsAttribution-NonCommercial 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/
dc.titleMicro-doppler-based in-home aided and unaided walking recognition with multiple radar and sonar systemsen_UK
dc.typeArticleen_UK

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