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Human-centred acoustic detection for smartphone application in healthcare

  • Yuanying Qu*
  • , Xingheng Wang
  • , Limin Yu
  • , Xu Zhu
  • , Wenwu Wang
  • , Zhi Wang
  • *Corresponding author for this work
  • University of Liverpool
  • Xi'an Jiaotong-Liverpool University
  • Harbin Institute of Technology
  • University of Surrey
  • Zhejiang University

Research output: Chapter in Book or Report/Conference proceedingChapterpeer-review

3 Citations (Scopus)

Abstract

In acoustic sensing techniques, acoustic sensors use the main functionality, namely recording and playing the sound, to explore related research and achieve various applications along with novel user experiences. Acoustic sensing is developed in the research, where human-centred research is a vital branch. Human-based research is crucial to healthcare with excellent privacy protection and long-term support. This chapter presents a comprehensive illustration of human-centred acoustic sensing focusing on two innovative dimensions: vertical direction and horizontal direction, to illustrate and analyse the latest developments. In addition, smartphone-based applications and deep learning approaches are systematically described. This chapter also analyses existing technology, predicts its development trend and provides constructive suggestions for future research.

Original languageEnglish
Title of host publicationDiverse Perspectives and State-of-the-Art Approaches to the Utilization of Data-Driven Clinical Decision Support Systems
PublisherIGI Global
Pages125-150
Number of pages26
ISBN (Electronic)9781668450949
ISBN (Print)9781668450925
DOIs
Publication statusPublished - 11 Nov 2022

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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