Upper Body Motion Tracking System with Inertial Sensors for Ergonomic Issues in Industrial Environments

Caputo, Francesco; D’Amato, Egidio; Spada, Stefania; Sessa, Fabrizio; Losardo, Marco

doi:10.1007/978-3-319-41694-6_77

Cited by 9 publications

(2 citation statements)

References 5 publications

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“…Table 3 summarizes the recent studies related to the kinematic and kinematic variable by using motion capture. Predict the angle of deviation for shoulder and trunk flexion using the angular acceleration [28] Wearable accelerometer Proposed low-cost wearable inertial sensor to track the upper body movement [69] Wearable accelerometer…”

Section: Kinetic and Kinematic Variablementioning

confidence: 99%

“…This is because the force is the product of mass and the rate of change of velocity, and the force predicted by this system neglects the mass during the observation. EMG may reflect the demand for muscle tissue, higher demand being associated with high force applied [69]. Another well-known method for obtaining body force is by using a force plate and foot plant combined with motion capture technologies [32,33,41,76].…”

Section: Forcementioning

confidence: 99%

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Implementation of Kinetic and Kinematic Variables in Ergonomic Risk Assessment Using Motion Capture Simulation: A Review

Yunus

Jaafar

Mohamed

et al. 2021

IJERPH

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Work-related musculoskeletal disorders (WMSDs) are among the most common disorders in any work sector and industry. Ergonomic risk assessment can reduce the risk of WMSDs. Motion capture that can provide accurate and real-time quantitative data has been widely used as a tool for ergonomic risk assessment. However, most ergonomic risk assessments that use motion capture still depend on the traditional ergonomic risk assessment method, focusing on qualitative data. Therefore, this article aims to provide a view on the ergonomic risk assessment and apply current motion capture technology to understand classical mechanics of physics that include velocity, acceleration, force, and momentum in ergonomic risk assessment. This review suggests that using motion capture technologies with kinetic and kinematic variables, such as velocity, acceleration, and force, can help avoid inconsistency and develop more reliable results in ergonomic risk assessment. Most studies related to the physical measurement conducted with motion capture prefer to use non-optical motion capture because it is a low-cost system and simple experimental setup. However, the present review reveals that optical motion capture can provide more accurate data.

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Section: Kinetic and Kinematic Variablementioning

confidence: 99%