Human activity recognition for musculoskeletal accidents at workplace

dc.contributor.authorHafiz Muhammad Abdullah
dc.contributor.authorFA17-BSE-014
dc.contributor.authorDr. M. Aksam Iftikhar
dc.contributor.authorLHR TP 7024
dc.date.accessioned2026-02-17T08:17:00Z
dc.date.issued2021
dc.description.abstractThe industrial revolution that aims to automate industries without human interaction by using artificial intelligence. Employees are trained and are provided with standard operating procedures (SOPs) to work in a safe environment. However, sometimes due to the reckless behaviour of employees or improper training, accidents happen. Employers are held responsible for employee’s financial aid due to injuries or accidents that takes place at the workplace. This project will allow surveillance on employee’s activities for musculoskeletal injuries using Deep learning techniques for awkward posture recognition. The benefit of this project is that it will guide employers in training employees and will try to investigate the person responsible for the accident that takes place in the workplace.
dc.identifier.urihttps://repository.cuilahore.edu.pk/handle/123456789/1793
dc.language.isoen
dc.publisherLibrary Information Services, COMSATS University Islamabad, Lahore Campus
dc.relation.ispartofseriesLHR TP 7024
dc.subjectTECHNOLOGY::Information technology::Computer science
dc.subjectDr. M. Aksam Iftikhar
dc.titleHuman activity recognition for musculoskeletal accidents at workplace
dc.typeThesis

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