PERANCANGAN APLIKASI KLASIFIKASI UKURAN PAKAIAN MENGGUNAKAN METODE BODY MEASUREMENT DAN FUZZY LOGIC BERBASIS KINECT
Oleh : Erwin, Alexander Agung Santoso Gunawan, dan Widodo Budiharto
The purpose of this research is to design an application to determine the shirt size classification using Body Measurement method and Fuzzy Logic based on Kinect. Body Measurement method is used to measure the length of the human’s body part using Kinect. Fuzzy Logic is used to determine the shirt size classification based on the measurement results. In our daily life, clothing is one of the main things. Determining shirt size classification is usually done by trial and error clothes beforehand and thus require a longer time. Application of Body Measurement method on Kinect can simplify the determination of appropriate clothing size classification. Results from this research indicate that the method of Body Measurement and Fuzzy Logic can be used to determine the classification of the size of clothing with minimum error rate of 2:23% and maximum error rate of 11:23%.
Keyword : Shirt size classification, Computer Vision, Body Measurement, Fuzzy Logic, Kinect.
Published at : Updated