Intelligent operating architecture for audio-visual breast self-examination multimedia training system

• Main Authors: Billones, Robert Kerwin C., Masilang, Rey Anthony A., Jose, John Anthony C., Dadios, Elmer P.
• Format: text
• Published: Animo Repository 2016
• Subjects: Breast—Examination > Automation; Self-examination, Medical > Automation; Computer vision; Automatic speech recognition; Biomechanical Engineering
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/2384; https://animorepository.dlsu.edu.ph/context/faculty_research/article/3383/type/native/viewcontent
• Institution: De La Salle University

This paper introduces the initiated development of a computerised system called Breast Self-Examination-Multimedia Training System (BSE-MTS) and ongoing research for its development into effective, intelligent, high-tech system. Firstly, it presents the major components of the BSE-MTS and describes its future development into an intelligent system. Then, it outlines the development of the system as an intelligent integration of various modules of heterogeneous information, i.e.: (1) domain knowledge and perception of breast structures, locations, nodules (2) graphic and visual information (3) speech recognition and speech synthesis in the specific domain (4) interactive audio-visual feedback to the users of the BSE-MTS. The authors performed tests on using BSEMTS and present the outcomes. The paper is result of a research study. © 2015 IEEE.