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dc.contributor.authorBalmain, Bryce Nicholas
dc.contributor.authorTuttle, Neil
dc.contributor.authorBailey, Joseph
dc.contributor.authorCheng, Katie
dc.contributor.authorDuryea, Mitchell
dc.contributor.authorHoulihan, Josephine
dc.contributor.authorWotherspoon, James
dc.contributor.authorMorris, Norman
dc.date.accessioned2019-06-08T01:32:36Z
dc.date.available2019-06-08T01:32:36Z
dc.date.issued2019
dc.identifier.issn0172-4622
dc.identifier.doi10.1055/a-0732-5621
dc.identifier.urihttp://hdl.handle.net/10072/383202
dc.description.abstractWe examined the accuracy of Smart Socks - a device that measures foot pressure during gait for detecting step-count across various walking speeds. Thirty-six participants (17 men; 19 women) wore Smart Socks (Sock), a pedometer (Pedometer), and a smartphone with a commercially available Phone Application (Phone) pedometer to measure step-count during 3-min of treadmill or over-ground walking at 1.3, 2.2, 3.0, 3.8, and 4.7 km/h. Steps were compared to a gold-standard tally-counter (Count), collected by independent assessors. All devices (Sock, Pedometer, and Phone) underestimated step-count when compared to Count at 1.3 km/h (p<0.05); however, Sock (27±18%) demonstrated a lower percent error compared to Phone (40±28%) and Pedometer (98±5%) (both p<0.01). At 2.2 km/h, Sock was not different compared to Count (Sock: 213±39; Count: 229±24 steps, p=0.25); however, both Phone (271±55 steps) and Pedometer (169±166 steps) were different compared to Count (p<0.05). At 3.0 km/h, both Sock (258±30 steps) and Pedometer (254±45 steps) were similar to Count (267±22 steps) (p>0.05); however, Phone (291±28 steps) overestimated step-count (p<0.01). All devices (Sock, Pedometer, and Phone) were similar to Count at 3.8, and 4.7 km/h (p>0.05). These findings demonstrate that Smart Socks are more accurate than pedometers used in the present study for detecting step-count during treadmill or over-ground ambulation at slower walking speeds.
dc.description.peerreviewedYes
dc.languageEnglish
dc.publisherThieme
dc.relation.ispartofpagefrom133
dc.relation.ispartofpageto138
dc.relation.ispartofissue2
dc.relation.ispartofjournalInternational Journal of Sports Medicine
dc.relation.ispartofvolume40
dc.subject.fieldofresearchHuman Movement and Sports Sciences
dc.subject.fieldofresearchMechanical Engineering
dc.subject.fieldofresearchcode1106
dc.subject.fieldofresearchcode0913
dc.titleUsing Smart Socks to Detect Step-count at Slow Walking Speeds in Healthy Adults
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
dc.description.versionPost-print
gro.rights.copyright© 2018 Georg Thieme Verlag. This is the author-manuscript version of the paper. Reproduced in accordance with the copyright policy of the publisher. The definitive version is available at www.thieme-connect.com
gro.hasfulltextFull Text
gro.griffith.authorTuttle, Neil A.
gro.griffith.authorBalmain, Bryce N.
gro.griffith.authorMorris, Norman


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