Samueli School of Engineering

Abstract: RORRIM is a smart mirror that hopes to encourage the incorporation of smart technology to promote a healthy lifestyle by displaying personal health information in plain view. The display shows health data including heart rate, step count, SpO2, and wrist temperature specific to a user in addition to information time and weather. To manage multiple end-users, RORRIM has a facial recognition feature which is primarily used to register or change users and switch between personalized profiles. Health data is measured and pulled from a Fitbit and noninvasive Arduino sensors. The user’s health information is stored both locally on the Raspberry Pi and also uploaded to a secure Firebase server. Through machine learning, this health information makes personal inferences about stress state at a 91% accuracy and recommendations to assist the user for living a healthier lifestyle. Advisor: Assistant Professor Salma Elmalaki Dept. of Electrical Engineering and Computer Science. Supported by The Green Initiative Fund