GDL

Journal from gdlhub / 2021-01-20 15:24:36
Oleh : Henry Hernandez Martínez, Holman Montiel Ariza, Luz Andrea Gaviria Roa, Telkomnika
Dibuat : 2021-01-18, dengan 1 file

Keyword : artificial neural network; classifier; computational learning method; deep learning;
Url : http://journal.uad.ac.id/index.php/TELKOMNIKA/article/view/15200
Sumber pengambilan dokumen : web

Some case studies treated by physiotherapists or orthopedists to measure the alignment of the lower extremities during a gait cycle are based on empirical methods of visual observation. This methodology does not guarantee total success, since it depends on the experience of the specialist, what can cause irreversible damage to patients, such as: hip displacement, wear and overload of the joints of a single lower limb. Although, this problem has been addressed in the investigation by means of devices implementation with sensors or methods of processing sequences of images and videos, this topic is still under investigation because the current methods depend on many external elements and data given by an expert in the area. Therefore, this paper proposes a partial solution to this problem by systematizing the experience of a specialist through a computational learning method.

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