TOTBİD Dergisi

TOTBİD Dergisi

2024, Cilt 23, Sayı, 1     (Sayfalar: 058-065)

Gait analysis with artificial intelligence and machine learning approaches

Cemil Yıldız 1, Mehmet Ali Yılmaz 2, Yasemin Yılmaz 3

1 SBÜ Gülhane Tıp Fakültesi, SBÜ TEKMER, Futuracy AŞ, Ankara
2 Ankara TEKMER, Metakod Ltd. Şti., Ankara
3 Hacettepe Üniversitesi, Hareket ve Antrenman Bilimleri Ana Bilim Dalı, YL Öğr., Ankara

DOI: 10.5578/totbid.dergisi.2024.10
Görüntüleme: 581
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İndirme : 391

Gait analysis (GA) gives us valuable academic or practical information about the musculoskeletal system. It can be performed in three-dimensional (instrumental) or daily natural environment in specially designed synthetic laboratory conditions with different devices and methods. In recent years, artificial intelligence (AI) applications offer solutions in many different fields in health information technologies. In the following review article, information about AI and machine learning based gait analysis approaches will be given including current literature. We will also discuss their advantages and limitations by comparing them with alternative methods and give an overview of how they can be used in our daily practice.

Anahtar Kelimeler : artificial intelligence; machine learning; gait analysis; sensor; image analysis; applications