Mobiguard : An IoT-based monitoring system for persons with walking disability at home integrating computer vision, mobile application, and schedule reminder (Record no. 37317)

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fixed length control field 02669nam a22002417a 4500
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control field FT8873
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control field 20251210133511.0
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fixed length control field 251210b ||||| |||| 00| 0 eng d
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Language code of text/sound track or separate title engtag
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Classification number T58.64 A73 2025
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100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Arcillas, Charlize L.; Sigua, Katrina Mae
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Title Mobiguard : An IoT-based monitoring system for persons with walking disability at home integrating computer vision, mobile application, and schedule reminder
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture .
Name of producer, publisher, distributor, manufacturer .
Date of production, publication, distribution, manufacture, or copyright notice c2025
300 ## - PHYSICAL DESCRIPTION
Other physical details Capstone Project: (Bachelor of Science in Information Technology) - Pamantasan ng Lungsod ng Maynila, 2025
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Formatted contents note ABSTRACT: Individuals with walking disabilities face significant risks, especially during emergencies like fires, due to their limited mobility. Caregivers, often balancing multiple responsibilities, struggle to provide constant supervision, increasing the safety risks for those under their care. Traditional monitoring methods offer limited real-time support, making it challenging to respond promptly during crises. To address these issues, this study developed MobiGuard, an IoT-based monitoring system designed to enhance the safety and well-being of persons with walking disabilities. The system aims to achieve three key objectives: (1) integrate a computer vision-based person tracking and fire detection model, (2) implement a mobile application for assistive communication between individuals and caregivers, and (3) enhance task management through real-time reminders with sound alarms. The MobiGuard system uses YOLOv8 for real-time object detection and tracking, paired with Arduino-controlled servo motors for dynamic camera adjustments. A mobile application, built with Android Studio and powered by Firebase, facilities caregiver-recipient communication and schedule management. The system also employs DFPlayer Mini and RTC DS3231 modules to deliver audio reminders at scheduled times. Results demonstrates the system’s effectiveness in accurately detecting persons (including came and wheelchair users) and fire, with a 92% accuracy rate for person detection and 70% for fire detection. Real-time notifications and audio reminders significantly improved caregiver response time and ensured timely task execution. Overall, MobiGuard provides a reliable solution for monitoring persons with walking disabilities, enhancing their safety and offering caregivers efficient tools for remote assistance and care management.
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Classification Filipiniana
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Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Permanent Location Current Location Shelving location Date acquired Total Checkouts Full call number Barcode Date last seen Price effective from Item type
          Filipiniana-Thesis PLM PLM Filipiniana Section 2025-10-02   T58.64 A73 2025 FT8873 2025-12-10 2025-12-10 Thesis/Dissertation

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