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Human-Centred Acoustic Detection for Smartphone Application in Healthcare
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Author(s): Yuanying Qu (University of Liverpool, UK), Xingheng Wang (Xi'an Jiaotong-Liverpool University, China), Limin Yu (Xi'an Jiaotong-Liverpool University, China), Xu Zhu (Harbin Institute of Technology, Shenzhen, China), Wenwu Wang (University of Surrey, UK) and Zhi Wang (Zhejiang University, China)
Copyright: 2023
Pages: 26
Source title:
Diverse Perspectives and State-of-the-Art Approaches to the Utilization of Data-Driven Clinical Decision Support Systems
Source Author(s)/Editor(s): Thomas M. Connolly (DS Partnership, UK), Petros Papadopoulos (University of Strathclyde, UK) and Mario Soflano (Glasgow Caledonian University, UK)
DOI: 10.4018/978-1-6684-5092-5.ch006
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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.
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