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  5. The use of SHIMMER to detect stride time in running gait
 
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The use of SHIMMER to detect stride time in running gait

Author(s)
McGrath, Denise  
Greene, Barry R.  
O'Donovan, Karol  
Caulfield, Brian  
Uri
http://hdl.handle.net/10197/2399
Date Issued
2010-07
Date Available
2010-08-18T13:39:55Z
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.
Sponsorship
Not applicable
Type of Material
Conference Publication
Copyright (Published Version)
2010 Elsevier
Subjects

Wireless sensing

SHIMMER

Subject – LCSH
Wireless sensor networks
Gait in humans
Biomechanics--Data processing
Language
English
Status of Item
Peer reviewed
Conference Details
Poster presentation at Engineering Emotion: 8th Conference of the International Sports Engineering Association, Vienna, July 12-16 2010
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-sa/1.0/
File(s)
No Thumbnail Available
Name

ISEA 2010.doc

Size

36.5 KB

Format

Microsoft Word

Checksum (MD5)

c2bf133aee1d5f56dc9f0fa365d30a08

Owning collection
Computer Science Research Collection
Mapped collections
CLARITY Research Collection•
Public Health, Physiotherapy and Sports Science Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
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