000 02271nam a22002417a 4500
003 FT8766
005 20251105131416.0
008 251105b ||||| |||| 00| 0 eng d
041 _aengtag
050 _aT58.64 M55 2024
082 _a.
100 1 _aMijares, Kenneth L.; Sabar, John Ian B.; Tabañag, James Serafin L.
245 _aUplift-Mobility analysis for post-stroke recovery with exercise tracking and virtual-assisted therapy
264 1 _a.
_b.
_cc2024
300 _bCapstone Project: (Bachelor of Science in Information Technology) - Pamantasan ng Lungsod ng Maynila, 2025
336 _2text
_atext
_btext
337 _2unmediated
_aunmediated
_bunmediated
338 _2 volume
_a volume
_b volume
505 _aABSTRACT: Stroke remains a leading cause of long-term disability worldwide, significantly impairing individuals mobility and quality of life. Traditional post-stroke rehabilitation methods, while effective, often face challenges related to consistency, patient adherence, and accessibility. This study investigates the impact of modern technological interventions, such as exercise tracking and virtual-assisted therapy, on enhancing post-stroke mobility recovery. The primary objective was to develop the Uplift Mobility mobile application, which offers real-time data collection, personalized exercise programs, and immediate feedback. Utilizing a sprint (scrum) methodology, key features of the application include facial recognition for secure user identification, mobility analysis using MediaPipe for optimizing exercise routines, and an emergency alert system employing audio notifications. The study successfully achieved its objectives, with the facial recognition system implemented using Dlib achieving 95.65% accuracy, and the pose estimation module using MediaPipe reaching 88.25% accuracy. Despite challenges such as limited tool access and connectivity issues, the Uplift Mobility application demonstrated significant potential in supporting post-stroke rehabilitation by enhancing exercise adherence and improving patient outcomes. Future iterations, informed by user feedback, aim to further optimize the application’s functionality and user experience
526 _aF
655 _aacademic writing
942 _2lcc
_cMS
999 _c37020
_d37020