Accuracy of a System for Measuring Three-Dimensional Torso Kinematics during Manual Materials Handling

2004 ◽  
Vol 20 (2) ◽  
pp. 185-194
Author(s):  
Rebecca J. Giorcelli ◽  
Richard E. Hughes ◽  
Richard S. Current ◽  
John R. Myers

This paper describes a procedure developed and validated to assess the accuracy of an infrared-based motion measurement system used to perform a kinematic analysis of the torso with respect to the pelvis during simulated lifting tasks. Two rigid reflective marker triads were designed and fabricated for attachment to the thorax over the 6th thoracic vertebra and the pelvis. System accuracy was assessed for planar rotation as well as rotations about multiple orthogonal axes. A test fixture was used to validate known triad orientations. The spatial coordinates of these triads were collected at 120 Hz using a ProReflex motion measurement system. Single value decomposition was used to estimate a rotation matrix describing the rigid body motion of the thorax triad relative to the sacral triad at each point in time. Euler angles corresponding to flexion, lateral bending, and twisting were computed from the rotation matrix. All measurement error residuals for flexion, lateral bending, and twisting were below 1.75°. The estimated mean measurement errors were less than 1° in all three planes. These results suggest that the motion measurement system is reliable and accurate to within approximately 1.5° for the angles examined.

2020 ◽  
Author(s):  
Alice Tissot Garcia ◽  
André Luiz Da Silva Kelbouscas ◽  
Leonardo L. da C. Guimarães ◽  
Sibyla Vioto Silva ◽  
Vinícius Menezes de Oliveira

Assistive robotics has been shown to be an important tool in the patient's rehabilitation process. One of the rst steps in this process is to capture the movements performed by the patient to analyze the movement restrictions presented. The present work presents the development of a range of motion measurement system based on the position of thejoints in the three-dimensional space of the upper limbs using the Kinect sensor. In addition, preliminary tests are presented to capture compensatory movements of the trunk, in order to investigate the feasibility of using this system as a tool to detect compensatory movements.


2019 ◽  
Vol 59 (3) ◽  
pp. 1111-1118
Author(s):  
Keisuke Watanabe ◽  
Takao Abe ◽  
Goushiro Isozaki ◽  
Takeshi Okuyama ◽  
Mami Tanaka

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