Shih, Chen-Hsuan IrisChen-Hsuan IrisShihNißen, MarciaMarciaNißenBüchter, DirkDirkBüchterDurrer, DominiqueDominiqueDurrerl’Allemand, DagmarDagmarl’AllemandFleisch, ElgarElgarFleischKowatsch, TobiasTobiasKowatsch2023-04-132023-04-132018-01-29https://www.alexandria.unisg.ch/handle/20.500.14171/100806Biofeedback-based Breathing Trainings (BBTs) shows significant effect on health (WAN10, DIL16). State-of-the-art BBTs require dedicated (high cost) hardware and health professionals which represent a significant barrier to their widespread adoption. While It has been shown that a smartphone microphone has the ability to record audio signals from exhalation in a quality of professional respiratory devices (LAR12), the ultimate goal of this project is to answer the research question: To which degree of accuracy can a mobile application detect respiratory acoustic patterns in quasi-real-time with a smartphone’s microphone, thus capable of triggering adequate biofeedback?conference poster