Towards Explainability in mHealth Application for Mitigation of Forward Head Posture in Smartphone Users

Richard O. Oyeleke, Babafemi G. Sorinolu

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    1 Scopus citations

    Abstract

    Machine learning (ML) algorithms have recorded tremendous successes in many areas, notably healthcare. With increasing computing power of mobile devices, mobile health (mHealth) applications are embedded with ML models to learn users behavior and influence positive lifestyle changes. Although ML algorithms have shown impressive predictive power over the years, nonetheless, it is necessary that their inferences and recommendations are also explainable. Explainability can promote users' trust, particularly when ML algorithms are deployed in high-stake domains such as healthcare. In this study, first, we present our proposed situation-aware mobile application called Smarttens coach app that we developed to assist smartphone users in mitigating forward head posture. It embeds an efficientNet CNN model to predict forward head posture in smartphone users by analyzing head posture images of the users. Our Smarttens coach app achieved a state-of-the-art accuracy score of 0.99. However, accuracy score alone does not tell users the whole story about how Smarttens coach app draws its inference on predicted posture binary class. This lack of explanation to justify the predicted posture class label could negatively impact users' trust in the efficacy of the app. Therefore, we further validated our Smarttens coach app posture prediction efficacy by leveraging an explainable AI (XAI) framework called LIME to generate visual explanations for users' predicted head posture class label.

    Original languageEnglish
    Title of host publication2022 IEEE International Conference on E-Health Networking, Application and Services, HealthCom 2022
    Pages49-55
    Number of pages7
    ISBN (Electronic)9781665480161
    DOIs
    StatePublished - 2022
    Event2022 IEEE International Conference on E-health Networking, Application and Services, HealthCom 2022 - Genoa, Italy
    Duration: 17 Oct 202219 Oct 2022

    Publication series

    Name2022 IEEE International Conference on E-Health Networking, Application and Services, HealthCom 2022

    Conference

    Conference2022 IEEE International Conference on E-health Networking, Application and Services, HealthCom 2022
    Country/TerritoryItaly
    CityGenoa
    Period17/10/2219/10/22

    Keywords

    • Explainable AI
    • efficientNet CNN
    • forward head posture
    • mHealth
    • physiatry
    • smartphone

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