Graduation Year
2026
Document Type
Thesis
Degree
M.S.B.E.
Degree Name
MS in Biomedical Engineering (M.S.B.E.)
Degree Granting Department
Medical Engineering
Major Professor
Stephen Saddow, Ph.D.
Co-Major Professor
Alexandro Castellanos, Ph.D.
Committee Member
Alex Otten, Ph.D.
Keywords
Alert Systems, Computer Vision, Fall Detection, Mobile Application Integration, Navigation
Abstract
The global aging population has increased the demand for caregiving, while the availability of caregivers has not grown at the same pace. These trends have contributed to disparities in consistent and accessible care for older adults and increased caregiver burden. Geriatric care robots have emerged as a promising solution to support older adults and reduce caregiver burden. Existing systems have been developed for a wide range of applications, including rehabilitation, social support, assistance with activities of daily living, therapy, and caregiver telepresence. This thesis presents the development of SAM-1, an assistive robot designed to support remote monitoring of older adults at home. The system includes four primary functional modules: navigation, computer vision, audio communication, and a mobile application. Together, these modules support monitoring and communication between a remote caregiver and patients. This work describes the hardware design, software architecture, and results of module-level testing for SAM-1. The results demonstrate the feasibility of the proposed design, establishing SAM-1 as a functional prototype and the foundation for the future development of a more robust telepresence robotic platform.
Scholar Commons Citation
Ahsan, Aana Farhana, "SAM-1: An Assistive Robot for Remote Patient Monitoring" (2026). USF Tampa Graduate Theses and Dissertations.
https://digitalcommons.usf.edu/etd/11218
