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Link to original content: https://unpaywall.org/10.1007/S11063-020-10414-5
PP-SPA: Privacy Preserved Smartphone-Based Personal Assistant to Improve Routine Life Functioning of Cognitive Impaired Individuals | Neural Processing Letters Skip to main content

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PP-SPA: Privacy Preserved Smartphone-Based Personal Assistant to Improve Routine Life Functioning of Cognitive Impaired Individuals

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Abstract

Mobile ubiquitous computing has not only enriched human comfort but also has a deep impact on changing standards of human daily life. Modern inventions can be even more automated by using the Internet of Things (IoT) and Artificial Intelligence (AI). Mobile devices, body area networks, and embedded computing systems allow healthcare providers to continuously assess and monitor their patients but also bring privacy concerns. This paper proposes a smartphone-based end-to-end novel framework named PP-SPA for privacy-preserved Human Activity Recognition (HAR) and real-time activity functioning support using the smartphone-based virtual personal assistant. PP-SPA helps to improve the routine life functioning of the Cognitive Impaired individuals. PP-SPA uses a highly accurate machine learning model that takes input from smartphone sensors (i.e., accelerometer, gyroscope, magnetometer, and GPS) for accurate HAR and uses a digital diary to recommend real-time support for improvement in individual’s health. PP-SPA yields a proficient accuracy of 90% with the Hoeffding Tree and Logistic Regression algorithm which endeavors reasonable models in terms of uncertainty.

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Acknowledgements

This research was supported by Researchers Supporting Project Number (RSP-2020/250), King Saud University, Riyadh, Saudi Arabia.

Author information

Authors and Affiliations

  1. Department of Cyber Security, Air University, Islamabad, Pakistan

    Abdul Rehman Javed

  2. Department of Computer Science, Shifa Tameer-e-Millat University, Islamabad, Pakistan

    Muhammad Usman Sarwar

  3. Department of Computer Science, Air University, Islamabad, Pakistan

    Saif ur Rehman

  4. College of Business and Economics, Qatar University, Doha, Qatar

    Habib Ullah Khan

  5. Department of Information Systems in Rabigh, King Abdulaziz University, Jeddah, 21589, Saudi Arabia

    Yasser D. Al-Otaibi

  6. Computer Science Departement, King Saud University, Riyadh, Saudi Arabia

    Waleed S. Alnumay

Authors
  1. Abdul Rehman Javed
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  2. Muhammad Usman Sarwar
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  3. Saif ur Rehman
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  4. Habib Ullah Khan
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  5. Yasser D. Al-Otaibi
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  6. Waleed S. Alnumay
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Correspondence to Abdul Rehman Javed.

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Javed, A.R., Sarwar, M.U., ur Rehman, S. et al. PP-SPA: Privacy Preserved Smartphone-Based Personal Assistant to Improve Routine Life Functioning of Cognitive Impaired Individuals. Neural Process Lett 55, 35–52 (2023). https://doi.org/10.1007/s11063-020-10414-5

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