Mental Health and Sensing

Abdul Kawsar Tushar, Ashad Kabir, Syed Ishtiaque Ahmed

Research output: Book chapter/Published conference paperChapter (peer-reviewed)

Abstract

Mental health is a global epidemic, affecting close to half a billion people worldwide. Chronic shortage of resources hamper detection and recovery of affected people. Effective sensing technologies can help fight the epidemic through early detection, prediction, and resulting proper treatment. Existing and novel technologies for sensing mental health state could address the aforementioned concerns by activating granular tracking of physiological, behavioral, and social signals pertaining to problems in mental health. Our paper focuses on the available methods of sensing mental health problems through direct and indirect measures. We see how active and passive sensing by technologies as well as reporting from relevant sources can contribute toward these detection methods. We also see available methods of therapeutic treatment available through digital means. We highlight a few key intervention technologies that are being developed by researchers to fight against mental illness issues.
Original languageEnglish
Title of host publicationSignal Processing Techniques for Computational Health Informatics
PublisherSpringer
Pages247-260
ISBN (Electronic)978-3-030-54932-9
ISBN (Print)978-3-030-54931-2
DOIs
Publication statusPublished - 08 Oct 2020

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  • University of Toronto

    Ashad Kabir (Visiting researcher)

    11 Apr 2018

    Activity: Visiting an external institutionVisiting an external organisationAcademic

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