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Augmented Reality Body Sound Simulation: A Revolutionary Teaching Tool

Explore innovative AR-based system instructed by Dr. Chathura De Silva, PhD., for realistic body sound pattern training. Develop interactive simulations of diseases and enhance learning efficiency. Cut the learning curve with this unique tool.

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Augmented Reality Body Sound Simulation: A Revolutionary Teaching Tool

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  1. Augmented Reality Based Body Sound Simulation Instructed by Dr. Chathura De Silva PhD (NUS-Singapore), MEng (NTU-Singapore), BSc Eng.(Hons) (Moratuwa) Department of Computer Science and Engineering, University of Moratuwa. Email : chathura@uom.lk Presented by S.A.M Samarawickrama 118229H

  2. Objective of the research • Provide a teaching / practicing tool which makes the tedious and time consuming process of getting used to body sounds patterns, a simple and effective one • For that… • Generating sound map of human body • Simulating the abnormalities which can occur during disease conditions • providing interaction between the simulated conditions Proposed solution

  3. Work done so far • Identification and implementation of main basic software modules. • Recorder module • Trainer module (partial) • Deciding the architecture of sound map • Implementing sound map, and simulating dynamic interaction • Designing and implementing the case file structure (with maximum customizability)

  4. Architecture of the sound map • Sounds are recorded at common auscultation sites. • Grid is specified, where within each grid cell the sound is assumed to be having no variations • Grid may be unique for each case • Grid cells which contain common auscultation site will produce the exact recorded sound • Other cells will produce linear combination of sounds which are heard at common auscultation sites.

  5. Architecture of the sound map

  6. Architecture of the sound map - justification • Doctors are only concerned about the sounds heard at common auscultation points • Better to have actual sounds at common auscultation sites • User experience is also expressed as a linear combination of sounds heard at common points

  7. Recorder Module

  8. Recorder Module • Records sounds heard at common auscultation points • Collects sound name and associated disease condition data • Configures sound map associated with that particular case • Each case contains configurable unique sound map

  9. Configuring sound map - Recorder Module

  10. Trainer Module

  11. The tasks that will be completed in the next two weeks • Starting of camera integration and visual cue processing • Recording sounds from actual patients • Implementing hardware • Recording • Configuring sound maps for recorded cases

  12. Thank You

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