Muhammad Saqlain, S.;                     Ghani, A.;                     Khan, I.;                     Ghayyur, S.A.K.;                     Shamshirband , S.;                     Nabipour, N.;                     Shokri, M.    
        Image Analysis Using Human Body Geometry and Size Proportion Science for Action Classification. Appl. Sci. 2020, 10, 5453.
    https://doi.org/10.3390/app10165453
    AMA Style
    
                                Muhammad Saqlain S,                                 Ghani A,                                 Khan I,                                 Ghayyur SAK,                                 Shamshirband  S,                                 Nabipour N,                                 Shokri M.        
                Image Analysis Using Human Body Geometry and Size Proportion Science for Action Classification. Applied Sciences. 2020; 10(16):5453.
        https://doi.org/10.3390/app10165453
    
    Chicago/Turabian Style
    
                                Muhammad Saqlain, Syed,                                 Anwar Ghani,                                 Imran Khan,                                 Shahbaz Ahmed Khan Ghayyur,                                 Shahaboddin Shamshirband ,                                 Narjes Nabipour,                                 and Manouchehr Shokri.        
                2020. "Image Analysis Using Human Body Geometry and Size Proportion Science for Action Classification" Applied Sciences 10, no. 16: 5453.
        https://doi.org/10.3390/app10165453
    
    APA Style
    
                                Muhammad Saqlain, S.,                                 Ghani, A.,                                 Khan, I.,                                 Ghayyur, S. A. K.,                                 Shamshirband , S.,                                 Nabipour, N.,                                 & Shokri, M.        
        
        (2020). Image Analysis Using Human Body Geometry and Size Proportion Science for Action Classification. Applied Sciences, 10(16), 5453.
        https://doi.org/10.3390/app10165453