A hybrid Risk Assessment Kit by Using Observing and Instrument Methods

Risk assessment methods are promising to remedy the work-related musculoskeletal disorders (WRMSD). For this reason, self-reporting, observing and instrumental risk assessment methods were proposed, in the literature. Amongst these assessment methods, the instrumental risk assessment method has the highest level of efficiency and accuracy. However, the instrument method, such as smart-garment, provide data regarding the postures of an operator while does not provide information for the operator's surrounding. In case of processing the instrument method's data by an ergonomist, additional information regarding the operator environment will be mandated. This research work aims to propose a hybrid risk assessment kit (HRAK) that combines the observing and instrument risk assessment methods in real-time. The HRAK employs Bluetooth low energy (BLE) technology to connect the operators remotely with an ergonomist. Moreover, we design a smart-garment for the instrument-based risk assessment method. Furthermore, we develop a graphical risk assessment platform (GRAP) to configure and monitor the postures of operators and to assist the ergonomist to quantify the hazard postures. Graphical results are obtained and analyzed for the operator's postures by using GRAP. Finally, the posture's results are classified based on adaptable thresholds into hazard or alerting, attention and normal postures.