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Publikācija: Gait Analysis by using Smart Socks System

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Nosaukums oriģinālvalodā Gait Analysis by using Smart Socks System
Pētniecības nozare 3. Medicīnas un veselības zinātnes
Pētniecības apakšnozare 3.3. Veselības un sporta zinātnes
Autori Pēteris Eizentāls
Aleksejs Kataševs
Aleksandrs Okss
Atslēgas vārdi smart socks system, gait analysis
Anotācija Feet plantar pressure measurement and gait pattern analysis can be utilized for different disease detection as well as post-operation rehabilitation monitoring. Increasingly popular for gait analysis in research have become smart sock systems as an alternative to the more expensive commercial analogs, however, analysis with such systems are complicated due to the limited sensor count and other inherit limitations of textile pressure sensors. This paper proposes a new method for gait pattern recognition for use with smart sock systems. According to this method, steps are classified depending on the sum of Manhattan distances (SMD) between two high-dimension vectors, from which one describes the step to analyze and the other is a predefined vector representing a specific gait pattern. The gait pattern with the lowest SMD value to the particular step vector is assigned to each step. An experiment was performed to verify the proposed method, where three volunteers simulated three gait types, normal, pronation and supination, and the simulated steps were compared to references. The experimental results confirmed that typically the lowest SMD value was obtained by the reference corresponding to the tested gait pattern type. In one of the demonstrated cases, the mean SMD value for the same set of steps with the reference for normal step was 1.26, 1.77, and 1.78, with reference for pronation it was 1.75, 1.57, and 2.59, and reference for supination, 1.75, 2.15 and 1.46, for normal gait, gait with pronation and gait with supination, respectively. It can be seen that the lowest mean SMD value for each gait type is when the correct reference is applied.
DOI: 10.1088/1757-899X/459/1/012037
Hipersaite: http://iopscience.iop.org/article/10.1088/1757-899X/459/1/012037 
Atsauce Eizentāls, P., Kataševs, A., Okss, A. Gait Analysis by using Smart Socks System. No: IOP Conference Series: Materials Science and Engineering, Grieķija, Mitilini, 5.-7. septembris, 2018. IOP Publishing Ltd: IOP Publishing Ltd, 2018, 1.-6.lpp. ISSN 1757-8981. e-ISSN 1757-899X. Pieejams: doi:10.1088/1757-899X/459/1/012037
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