GymPro: a pose-based gym workout analysis and feedback system

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dc.contributor.authorSubasinghe, LS
dc.contributor.authorSiriwardhana, SMCR
dc.contributor.authorSiyambalagaspitiya, A
dc.contributor.editorGunawardena, S
dc.date.accessioned2025-11-19T06:07:58Z
dc.date.issued2025
dc.description.abstractMaintaining proper exercise form is crucial for injury prevention and workout effectiveness. However, many gym-goers lack access to personal trainers. GymPro addresses this issue by utilizing deep learning and pose estimation to analyze workout movements in real-time and provide instant corrective feedback.
dc.identifier.conferenceApplied Data Science & Artificial Intelligence (ADScAI) Symposium 2025
dc.identifier.departmentDepartment of Computer Science & Engineering
dc.identifier.doihttps://doi.org/10.31705/ADScAI.2025.54
dc.identifier.emaillasana.21@cse.mrt.ac.lk
dc.identifier.emailchirantha.21@cse.mrt.ac.lk
dc.identifier.emailanjitha.21@cse.mrt.ac.lk
dc.identifier.facultyEngineering
dc.identifier.placeMoratuwa, Sri Lanka
dc.identifier.proceedingProceedings of Applied Data Science & Artificial Intelligence Symposium 2025
dc.identifier.urihttps://dl.lib.uom.lk/handle/123/24396
dc.language.isoen
dc.publisherDepartment of Computer Science and Engineering
dc.subjectPose Estimation
dc.subjectDeep Learning
dc.subjectGym Workout Analysis
dc.subjectComputer Vision
dc.subjectFitness Application.
dc.titleGymPro: a pose-based gym workout analysis and feedback system
dc.typeConference-Extended-Abstract

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