Paper
30 April 1999 Investigation of human locomotion using Penny & Giles electrogoniometer
Krzysztof Jaworek, Marcin Derlatka, Mateusz Dominikowski
Author Affiliations +
Proceedings Volume 3730, Optoelectronic and Electronic Sensors III; (1999) https://doi.org/10.1117/12.346863
Event: Optoelectronic and Electronic Sensors III, 1998, Jurata, Poland
Abstract
This paper deals with the experimental measurements, data filtering and theoretical representation of the angular position of a human led in 3D space during normal and pathological walking. The angular position of a human leg during walking in sagittal plane was measured by a new electrogoniometer made by a UK company named Penny & Giles. This system is a spatial mechanism made of a group of links which are coupled by proper angular sensor. This instrument enables an indirect evaluation of the angular position of a human leg in the 3D space from knowledge of the system geometry and from the angular value readings. This instrument is light, small-sized technologically new and is easy to use. However, its dynamics features have not been analyzed in the literature. Therefore we decided to analyze the instrument in order to built a DWT (Discrete Wavelets Transform) filter for filtering data recorded by a electrogoniometer Penny & Giles. We built filter corresponding to Daubechies wavelets, DAUB #20. The DWT filter is sufficient for filtering high frequency noise which exists during experimental measurement of the angular position of a human leg during normal and pathological gait. Filtering using Daubechies wavelets--DAUB #20 is more efficient than commercial numerical filtering delivered by Penny & Giles company.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Krzysztof Jaworek, Marcin Derlatka, and Mateusz Dominikowski "Investigation of human locomotion using Penny & Giles electrogoniometer", Proc. SPIE 3730, Optoelectronic and Electronic Sensors III, (30 April 1999); https://doi.org/10.1117/12.346863
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Cited by 2 scholarly publications.
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KEYWORDS
Discrete wavelet transforms

Sensors

Gait analysis

Wavelets

Digital filtering

Electronic filtering

Mathematical modeling

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