The use of SHIMMER to detect stride time in running gait

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dc.contributor.author McGrath, Denise
dc.contributor.author Greene, Barry R.
dc.contributor.author O'Donovan, Karol
dc.contributor.author Caulfield, Brian
dc.date.accessioned 2010-08-18T13:39:55Z
dc.date.available 2010-08-18T13:39:55Z
dc.date.copyright 2010 Elsevier en
dc.date.issued 2010-07
dc.identifier.uri http://hdl.handle.net/10197/2399
dc.description Poster presentation at Engineering Emotion: 8th Conference of the International Sports Engineering Association, Vienna, July 12-16 2010 en
dc.description.abstract Wireless sensing solutions that provide for accurate long term monitoring of walking and running stride characteristics in a real world environment would be an excellent tool for biomechanics researchers. SHIMMER™ is a small, wireless, low-power inertial sensor with a large storage capacity that facilitates wearable wireless sensing in both connected and disconnected modes. It is a very flexible, multi-sensing device, consisting of a tri-axial accelerometer, with options of add-on daughter boards such as tri-axial gyropscopes, or ECG/EMG sensors. The purpose of this study was to compare the performance of the SHIMMER wireless sensor platform for the determination of heel-strike and stride times, across a range of speeds, to a marker-based motion capture system (CODA, Charnwood Dynamics, UK). Previous studies have shown that the SHIMMER sensor and associated algorithms can successfully calculate these parameters in slow to fast walking speeds, but it has not yet been applied to running. en
dc.description.sponsorship Not applicable en
dc.description.uri Conference details en
dc.description.uri http://isea2010.technikum-wien.at/index.html en
dc.format.extent 37376 bytes
dc.format.mimetype application/msword
dc.language.iso en en
dc.relation.requires CLARITY Research Collection en
dc.relation.requires Public Health, Physiotherapy & Population Science Research Collection en
dc.subject Wireless sensing en
dc.subject SHIMMER en
dc.subject.lcsh Wireless sensor networks en
dc.subject.lcsh Gait in humans en
dc.subject.lcsh Biomechanics--Data processing en
dc.title The use of SHIMMER to detect stride time in running gait en
dc.type Conference Publication en
dc.internal.availability Full text available en
dc.status Peer reviewed en
dc.neeo.contributor McGrath|Denise|aut| en
dc.neeo.contributor Greene|Barry R.|aut| en
dc.neeo.contributor O'Donovan|Karol|aut| en
dc.neeo.contributor Caulfield|Brian|aut| en
dc.description.admin Abstract for a poster presentation (poster session no 3). Conference website - http://isea2010.technikum-wien.at/index.html. Poster presentation likely to be included in the forthcoming Proceedings of ISEA 10 published by Elsevier. DG 07/07/10 au - TS 28/07/10 Not part of published proceedings - 15/3/11 OR en


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