Academy & Industry Research Collaboration Center (AIRCC)

Volume 12, Number 10, June 2022

An Intelligent Sensor Mobile Phone Assisting System using AI and Machine Learning


Ruilang Liang1 and Yu Sun2, 1USA, 2California State Polytechnic University, USA


Technology is taking over the world [7]. Thus, how elderly people can request for help when they use a mobile device if there is anybody around them? In this paper, we address this issue by providing a system that can share and remote control a mobile device in real time [8]. An Android mobile app has been developed as an assistant tool. Thus, when a user needs help, she/he uses an unique ID, sends a request and shares the mobile screen, so the helper sees the sharing screen in his/her device and assists the person who needs help. We applied our application to data analysis and accurate measurements. For the accurate measurement, we conducted diverse experiments to observe the stability of use in different devices, and the influence of geographic, environmental, and network factors. The result shows there are no interrupts during the 30 experiments, which means that the system is stable for use and the network speed is the main factor which affects the average connection delay. For the data analysis, we advertised the Mobile App in communities and schools and received a total of 20 feedback questionnaires. We observe that users from 66 - 70 yield the highest positive score.


Machine Learning, Screen Remote Sharing, Mobile APP.