एर्गोनॉमिक्स जर्नल
खुला एक्सेस

अमूर्त

Input Variables for Manual Material Handling Assessment Methods Obtained Using Body Worn Sensors

Khaled Hafez

Quantifying the workplace risk factors such as body inclination angles, load weights, and vertical and horizontal reaching distances is essential to prevent work-related musculoskeletal disorders. Most of these factors need to be measured during the task. Assessing the work performed using a direct observation approach is time consuming and the study can encounter observational errors as well as disturb the workers. Wearable sensing technologies could replace the use of optical motion capturing systems. No review study was conducted to discuss the use of wearable technology as a means for providing input variables for various manual material handling job assessment methods. The current study provides a review about wearable technologies that can be used to provide input variables for different ergonomic assessment methods. The validity of diverse wearable sensors in quantifying different biomechanical measures is included. Also, the synchronization of those measures with various ergonomic assessment methods is discussed.