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05-01-2021

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

Authors: Abdul Rehman Javed, Muhammad Usman Sarwar, Saif ur Rehman, Habib Ullah Khan, Yasser D. Al-Otaibi, Waleed S. Alnumay

Published in: Neural Processing Letters | Issue 1/2023

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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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Title: PP-SPA: Privacy Preserved Smartphone-Based Personal Assistant to Improve Routine Life Functioning of Cognitive Impaired Individuals
Authors: Abdul Rehman Javed
Muhammad Usman Sarwar
Saif ur Rehman
Habib Ullah Khan
Yasser D. Al-Otaibi
Waleed S. Alnumay
Publication date: 05-01-2021
Publisher: Springer US
Published in: Neural Processing Letters / Issue 1/2023
Print ISSN: 1370-4621
Electronic ISSN: 1573-773X
DOI: https://doi.org/10.1007/s11063-020-10414-5

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