Accuracy and repeatability of single-pose calibration of inertial measurement units for whole-body motion analysis.

Portable inertial measurement units (IMUs) are suitable for motion analysis outside the laboratory. However, IMUs depend on the calibration of each body segment to measure human movement. Different calibration approaches have been developed for simplicity of use or similarity to laboratory motion analysis, but they have not been extensively examined. The main objective of the study was to determine the accuracy and repeatability of two common single-pose calibrations (N-pose and T-pose) under different conditions of placement (self-placement and passive placement), as well as their similarity to laboratory analysis based on anatomical landmarks. A further aim of the study was to develop two additional single-pose calibrations (chair-pose and stool-pose) and determine their accuracy and repeatability. Postures and movements of 12 healthy participants were recorded simultaneously with a full-body IMU suit and an optoelectronic system as the criterion measure. Three repetitions of the T-pose and the N-pose were executed by self-placement and passive placement, and three repetitions of the chair-pose and stool-pose were also performed. Repeatability for each single-pose calibration showed an average intraclass correlation coefficient for all axes and joints between 0.90 and 0.94 and a standard error of measurement between 1.5° and 2.1°. The T-pose with passive placement is recommended to reduce longitudinal axis offset error and to increase similarity to laboratory motion analysis. Finally, the chair-pose obtained the least longitudinal axis offset error amongst the tested poses, which shows potential for IMU calibration.

[1]  Bryan Buchholz,et al.  ISB recommendation on definitions of joint coordinate systems of various joints for the reporting of human joint motion--Part II: shoulder, elbow, wrist and hand. , 2005, Journal of biomechanics.

[2]  D. Roetenberg,et al.  Xsens MVN: Full 6DOF Human Motion Tracking Using Miniature Inertial Sensors , 2009 .

[3]  F. V. D. van der Helm,et al.  Magnetic distortion in motion labs, implications for validating inertial magnetic sensors. , 2009, Gait & posture.

[4]  B M Jolles,et al.  Functional calibration procedure for 3D knee joint angle description using inertial sensors. , 2009, Journal of biomechanics.

[5]  A Leardini,et al.  Position and orientation in space of bones during movement: anatomical frame definition and determination. , 1995, Clinical biomechanics.

[6]  Aurelio Cappozzo,et al.  Joint kinematics estimate using wearable inertial and magnetic sensing modules. , 2008, Gait & posture.

[7]  Eduardo Palermo,et al.  Experimental evaluation of accuracy and repeatability of a novel body-to-sensor calibration procedure for inertial sensor-based gait analysis , 2014 .

[8]  Brice Bouvier,et al.  Upper Limb Kinematics Using Inertial and Magnetic Sensors: Comparison of Sensor-to-Segment Calibrations , 2015, Sensors.

[9]  Domenico Formica,et al.  A New Calibration Methodology for Thorax and Upper Limbs Motion Capture in Children Using Magneto and Inertial Sensors , 2014, Sensors.

[10]  Laura Rocchi,et al.  Ambulatory measurement of shoulder and elbow kinematics through inertial and magnetic sensors , 2008, Medical & Biological Engineering & Computing.

[11]  P. Allard,et al.  Shoulder Coordination During Full-Can and Empty-Can Rehabilitation Exercises. , 2015, Journal of athletic training.

[12]  Josien C. van den Noort,et al.  Reliability and precision of 3D wireless measurement of scapular kinematics , 2014, Medical & Biological Engineering & Computing.

[13]  J. Sinclair,et al.  The influence of tester experience on the reliability of 3D kinematic information during running. , 2014, Gait & posture.

[14]  Svend Erik Mathiassen,et al.  Observer performance in estimating upper arm elevation angles under ideal viewing conditions when assisted by posture matching software. , 2016, Applied ergonomics.

[15]  Christian Larue,et al.  Evaluation of Eight Methods for Aligning Orientation of Two Coordinate Systems. , 2016, Journal of biomechanical engineering.

[16]  P. Tétreault,et al.  Improvements in measuring shoulder joint kinematics. , 2012, Journal of biomechanics.

[17]  B. Dehez,et al.  Evaluation of initialization procedures for estimating upper limb kinematics with MARG sensors , 2012, 2012 4th IEEE RAS & EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob).

[18]  Christian Larue,et al.  Validation of inertial measurement units with an optoelectronic system for whole-body motion analysis , 2017, Medical & Biological Engineering & Computing.

[19]  W Gerbino,et al.  Retinal vs. environmental orientation in the perception of the right angle. , 1995, Acta psychologica.

[20]  J. Perry,et al.  Three dimensional upper extremity motion during manual wheelchair propulsion in men with different levels of spinal cord injury. , 1999, Gait & posture.

[21]  Lorenzo Chiari,et al.  Human movement analysis using stereophotogrammetry. Part 4: assessment of anatomical landmark misplacement and its effects on joint kinematics. , 2005, Gait & posture.

[22]  M. Morris,et al.  The reliability of three-dimensional kinematic gait measurements: a systematic review. , 2009, Gait & posture.

[23]  F C T van der Helm,et al.  Functionally interpretable local coordinate systems for the upper extremity using inertial & magnetic measurement systems. , 2010, Journal of biomechanics.

[24]  Josien C van den Noort,et al.  Measurement of scapular dyskinesis using wireless inertial and magnetic sensors: Importance of scapula calibration. , 2015, Journal of biomechanics.

[25]  E. Gutierrez-Farewik,et al.  Kinematic and kinetic analysis of static sitting of patients with neuropathic spine deformity. , 2011, Gait & posture.

[26]  P. Pidcoe,et al.  Repeatability of the modified Oxford foot model during gait in healthy adults. , 2011, Gait & posture.

[27]  G. Verni,et al.  Ambulatory measurement of the scapulohumeral rhythm: intra- and inter-operator agreement of a protocol based on inertial and magnetic sensors. , 2012, Gait & posture.

[28]  Hartmut Witte,et al.  ISB recommendation on definitions of joint coordinate system of various joints for the reporting of human joint motion--part I: ankle, hip, and spine. International Society of Biomechanics. , 2002, Journal of biomechanics.

[29]  Roberto Ramirez-Iniguez,et al.  Pose calibrations for inertial sensors in rehabilitation applications , 2013, 2013 IEEE 9th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob).

[30]  A. Cappozzo,et al.  Human movement analysis using stereophotogrammetry. Part 3. Soft tissue artifact assessment and compensation. , 2005, Gait & posture.