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Inicio  /  Applied Sciences  /  Vol: 12 Par: 17 (2022)  /  Artículo
ARTÍCULO
TITULO

Deep Learning in Left and Right Footprint Image Detection Based on Plantar Pressure

Peter Ardhianto    
Ben-Yi Liau    
Yih-Kuen Jan    
Jen-Yung Tsai    
Fityanul Akhyar    
Chih-Yang Lin    
Raden Bagus Reinaldy Subiakto and Chi-Wen Lung    

Resumen

In this study, the left and right footprint images were predicted based on deep learning object detection models. YOLOv4 models are the most balanced deep learning models in detecting left and right feet from footprint images. In different object detection models, the right foot showed higher accuracy than the left foot.

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