Evaluation of the Kinect™ sensor for 3-D kinematic measurement in the workplace.

Recording posture and movement is important for determining risk of musculoskeletal injury in the workplace, but existing motion capture systems are not suited for field work. Estimates of the 3-D relative positions of four 0.10 m cubes from the Kinect were compared to estimates from a Vicon motion capture system to determine whether the hardware sensing components were sensitive enough to be used as a portable 3-D motion capture system for workplace ergonomic assessments. The root-mean-squared errors (SD) were 0.0065 m (0.0048 m), 0.0109 m (0.0059 m), 0.0057 m (0.0042 m) in the x, y and z directions (with x axis to the right, y axis away from the sensor and z axis upwards). These data were collected over a range of 1.0-3.0m from the device covering a field of view of 54.0 degrees horizontally and 39.1 degrees vertically. Requirements for software, hardware and subject preparation were also considered to determine the usability of the Kinect in the field.

[1]  Jack P Callaghan,et al.  A validation of a posture matching approach for the determination of 3D cumulative back loads. , 2008, Applied ergonomics.

[2]  J P Callaghan,et al.  Determining the minimum sampling rate needed to accurately quantify cumulative spine loading from digitized video. , 2003, Applied ergonomics.

[3]  J P Callaghan,et al.  A comparison of low back kinetic estimates obtained through posture matching, rigid link modeling and an EMG-assisted model. , 2011, Applied ergonomics.

[4]  Dan K Ramsey,et al.  Effect of skin movement artifact on knee kinematics during gait and cutting motions measured in vivo. , 2005, Gait & posture.

[5]  Jack P. Callaghan,et al.  Cumulative spinal loading exposure methods for manual material handling tasks. Part 1: is cumulative spinal loading associated with lower back disorders? , 2006 .

[6]  M A Brodie,et al.  The static accuracy and calibration of inertial measurement units for 3D orientation , 2008, Computer methods in biomechanics and biomedical engineering.

[7]  Shrawan Kumar,et al.  Working Postures: A Literature Review , 2004, Journal of Occupational Rehabilitation.

[8]  Marimuthu Palaniswami,et al.  Computational intelligence for movement sciences : neural networks and other emerging techniques , 2006 .

[9]  Laurel Kuxhaus,et al.  Effects of camera switching on fine accuracy in a motion capture system. , 2009, Journal of biomechanical engineering.

[10]  Zhang Ji,et al.  C57BL/6および129SvEvマウス間の大動脈弓形状,血行動態,プラークパッターンの相異 | 文献情報 | J-GLOBAL 科学技術総合リンクセンター , 2009 .