The World Health Organization (WHO) indicates that Musculoskeletal Disorders (MSD) “range from those that arise suddenly and are short-lived, such as fractures, sprains, and strains, to lifelong conditions associated with ongoing pain and disability” [1]. These conditions can man- ifest in individuals of any age and across global populations. They carry significant economic implications, leading to a decline in work efficiency and adversely impacting the well-being of those affected. The "Regional Occupational Health Plan 2022-2025" for the Occitanie region mentions sev- eral figures to illustrate the necessity of placing health and prevention at the heart of work in the region: MSD represent 80% of recognized occupational diseases; 71% of employees are exposed to postural and articular constraints; 32% of employees are exposed to one or more chemicals regardless of their sector of activity. As for the statistical service responsible for labor, employment, and vocational training within the public statistical system (DARES), its analysis No. 031 from August 2022 lists the thresholds above which exposure can be qualified as "onerous" (according to the Medical Surveillance of Employees’ Exposure to Occupational Risks (SUMER) survey from 2017). However, it specifies that most quantification methods are based on medical investigators’ expertise and employees’ perceptions [2]. We focus on identifying and automatically calculating ergonomic risks in this context and this preliminary work. First, we conduct a literature review on a well-known method called “REBA". Then, we use motion capture to analyze the human motion and calculate the REBA score automatically