Development of an Area Scan Step Length Measuring System Using a Polynomial Estimate of the Heel Cloud Point

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dc.contributor.author Kadir, Nursyuhada Binti Haji
dc.contributor.author Muguro, Joseph K.
dc.contributor.author Matsushita, Kojiro
dc.contributor.author Senanayake, Senanayake Mudiyanselaga Namal Arosha
dc.contributor.author Sasaki, Minoru
dc.date.accessioned 2022-04-12T09:38:36Z
dc.date.available 2022-04-12T09:38:36Z
dc.date.issued 31-04-2022
dc.identifier.uri https://doi.org/10.3390/signals3020011
dc.identifier.uri http://repository.dkut.ac.ke:8080/xmlui/handle/123456789/5707
dc.description.abstract Due to impaired mobility caused by aging, it is very important to employ early detection and monitoring of gait parameters to prevent the inevitable huge amount of medical cost at a later age. For gait training and potential tele-monitoring application outside clinical settings, low-cost yet highly reliable gait analysis systems are needed. This research proposes using a single LiDAR system to perform automatic gait analysis with polynomial fitting. The experimental setup for this study consists of two different walking speeds, fast walk and normal walk, along a 5-m straight line. There were ten test subjects (mean age 28, SD 5.2) who voluntarily participated in the study. We performed polynomial fitting to estimate the step length from the heel projection cloud point laser data as the subject walks forwards and compared the values with the visual inspection method. The results showed that the visual inspection method is accurate up to 6 cm while the polynomial method achieves 8 cm in the worst case (fast walking). With the accuracy difference estimated to be at most 2 cm, the polynomial method provides reliability of heel location estimation as compared with the observational gait analysis. The proposed method in this study presents an improvement accuracy of 4% as opposed to the proposed dual-laser range sensor method that reported 57.87 cm ± 10.48, an error of 10%. Meanwhile, our proposed method reported ±0.0633 m, a 6% error for normal walking. en_US
dc.language.iso en en_US
dc.publisher MDPI en_US
dc.title Development of an Area Scan Step Length Measuring System Using a Polynomial Estimate of the Heel Cloud Point en_US
dc.type Article en_US


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