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.

移动无处不在的计算不仅丰富了人类的舒适感，而且对不断变化的人类日常生活水平产生了深远的影响。通过使用物联网（IoT）和人工智能（AI），现代发明甚至可以更加自动化。移动设备，人体局域网和嵌入式计算系统使医疗保健提供者能够不断评估和监视其患者，但同时也带来隐私问题。本文提出了一个名为PP-SPA的基于智能手机的端到端新颖框架，用于使用隐私保护的人类活动识别（HAR）和使用基于智能手机的虚拟个人助理的实时活动功能支持。聚丙烯SPA帮助改善认知障碍者的日常生活功能。PP-SPA使用高度精确的机器学习模型，该模型从智能手机传感器（例如，加速度计，陀螺仪，磁力计和GPS）获取输入以实现准确的HAR，并使用数字日记推荐实时支持以改善个人健康。通过Hoeffding树和Logistic回归算法，PP-SPA可以达到90％的准确度，该算法力图在不确定性方面采用合理的模型。