Date of Award
6-11-2024
Document Type
Thesis
Publisher
Santa Clara : Santa Clara University, 2024
Department
Computer Science and Engineering
First Advisor
Behnam Dezfouli
Second Advisor
Yuhong Liu
Abstract
The proliferation of Internet of Things (IoT) devices emphasizes a greater connection between humans and smart technology. From computer peripherals, personal electronics, and domestic appliances to building access management, healthcare, and security systems, modern applications are generating as much data or more than they are receiving from other sources. Human presence is a type of data that is becoming a compelling requirement for a plethora of today’s applications that must ensure seamless interactions of users with the systems and their associated services. The ultra low-power, high performance presence detection system is an accelerometer-based system capable of person detection, people counting, and operating as a low-power wake-up system for older, resource-intensive systems. Utilizing STMicroelectronics’ software and hardware we seek the sustainability, efficiency, and ethical standards that are necessary to prepare for the smart world with increased energy usage and privacy risks.
Recommended Citation
Bajarias, Dante; Medal, Cristian; and Kaeley, Jashan, "Ultra Low-power, High-Performance Presence Detection System" (2024). Computer Science and Engineering Senior Theses. 304.
https://scholarcommons.scu.edu/cseng_senior/304