Using a mobile range-camera motion capture system to evaluate the performance of integration of multiple low-cost wearable sensors and gait kinematics for pedestrian navigation in realistic environments

Abstract3-D gait analysis is the gold standard but many healthcare clinics and research institutes would benefit from a system that is inexpensive and simple but just as accurate. The present study examines whether a low-cost 2-D motion capture system can accurately and reliably assess adaptive gait kinematics in subjects with central vision loss, older controls, and younger controls. Subjects were requested to walk up and step over a 10 cm high obstacle that was positioned in the middle of a 4.5 m walkway. Four trials were simultaneously recorded with the Vicon motion capture system (3-D system) and a video camera that was positioned perpendicular to the obstacle (2-D system). The kinematic parameters (crossing height, crossing velocity, foot placement, single support time) were calculated offline. Strong Pearson’s correlations were found between the two systems for all parameters (average r = 0.944, all p < 0.001). Bland-Altman analysis showed that the agreement between the two systems was good in all three groups after correcting for systematic biases related to the 2-D marker positions. The test-retest reliability for both systems was high (average ICC = 0.959). These results show that a low-cost 2-D video system can reliably and accurately assess adaptive gait kinematics in healthy and low vision subjects.

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Human-Scale Motion Capture with an Accelerometer-Based Gaming Controller

Journal of Robotics and Mechatronics ◽

10.20965/jrm.2013.p0458 ◽

2013 ◽

Vol 25 (3) ◽

pp. 458-465 ◽

Cited By ~ 2

Author(s):

Sagar N. Purkayastha ◽

◽

Michael D. Byrne ◽

Marcia K. O’Malley

Keyword(s):

Motion Capture ◽

Mean Absolute Error ◽

Low Cost ◽

Absolute Error ◽

Camera Motion ◽

Motion Capture System ◽

Human Scale ◽

Acceleration Data ◽

Position Data ◽

Scale Motion

Gaming controllers are attractive devices for research due to their onboard sensing capabilities and low cost. However, a proper quantitative analysis regarding their suitability for motion capture has yet to be fully reported. In this paper, a detailed analysis of the accelerometers of the Nintendo Wiimote is presented. The gravity-compensated acceleration data from the accelerometers of theWiimote were plotted, compared and correlated with computed acceleration data derived from a six-camera motion capture system. The results show high correlation and low mean absolute error between the gravity-compensated data from the accelerometers of the controllers and computed acceleration from position data of the motion capture system. From the results obtained, it can be inferred that the Wiimote is well suited for motion capture applications where post-processing of data is practical.

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Quantifying the Accuracy of a Motion Detecting Neural Prosthesis

Volume 5: Biomedical and Biotechnology ◽

10.1115/imece2020-23219 ◽

2020 ◽

Author(s):

Martin L. Tanaka ◽

Premkumar Subbukutti ◽

David Hudson ◽

Kimberly Hudson ◽

Pablo Valenzuela ◽

...

Keyword(s):

Motion Capture ◽

Gait Cycle ◽

Neural Prosthesis ◽

Average Error ◽

Camera Motion ◽

Motion Capture System ◽

General Shape ◽

Neural Connections ◽

Measurement Units ◽

The Brain

Abstract The neural prosthesis under development is designed to improve gait in people with muscle weakness. The strategy is to augment impaired or damaged neural connections between the brain and the muscles that control walking. This third-generation neural prosthesis contains triaxial inertial measurement units (IMUs - accelerometers, gyroscopes, and processing chip) to measure body segment position and force sensitive resistors placed under the feet to detect ground contact. A study was conducted to compare the accuracy of the neural prosthesis using a traditional camera motion capture system as a reference. The IMUs were found to accurately represent the amplitude of the gait cycle components and generally track the motion. However, there are some differences in phase, with the IMUs lagging the actual motion. Phase lagged by about 10 degrees in the ankle and by about 5 degrees in the knee. Error of the neural prosthesis varied over the gait cycle. The average error for the ankle, knee and hip were 6°, 8°, and 9°, respectively. Testing showed that the neural prosthesis was able to capture the general shape of the joint angle curves when compared to a commercial camera motion capture system. In the future, measures will be taken to reduce lag in the gyroscope and reduce jitter in the accelerometer so that data from both sensors can be combination to obtain more accurate readings.

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DEVELOPMENT OF A MOTION CAPTURE SYSTEM USING KINECT

Jurnal Teknologi ◽

10.11113/jt.v76.5917 ◽

2015 ◽

Vol 76 (11) ◽

Author(s):

Katherina Bujang ◽

Ahmad Faiz Ahmad Nazri ◽

Ahmad Fidaudin Ahmad Azam ◽

Jamaluddin Mahmud

Keyword(s):

Motion Capture ◽

Low Cost ◽

Microsoft Kinect ◽

Motion Capture Data ◽

Motion Capture System ◽

Interface Motion ◽

Measurement Analysis ◽

Potential Alternative ◽

Repeatability And Reproducibility ◽

Data Tracking

Microsoft Kinect has been identified as a potential alternative tool in the field of motion capture due to its simplicity and low cost. To date, the application and potential of Microsoft Kinect has been vigorously explored especially for entertainment and gaming purposes. However, its motion capture capability in terms of repeatability and reproducibility is still not well addressed. Therefore, this study aims to explore and develop a motion capture system using Microsoft Kinect; focusing on developing the interface, motion capture protocol as well as measurement analysis. The work is divided into several stages which include installation (Microsoft Kinect and MATLAB); parameters and experimental setup, interface development; protocols development; motion capture; data tracking and measurement analysis. The results are promising, where the variances are found to be less than 1% for both repeatability and reproducibility analysis. This proves that the current study is significant and the gained knowledge could contribute

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Biomechanics Analysis of Sepak Takraw Tekong Serves via Depth Camera Motion Capture System

Proceedings of the 3rd International Colloquium on Sports Science, Exercise, Engineering and Technology ◽

10.1007/978-981-10-6772-3_15 ◽

2018 ◽

pp. 119-128

Author(s):

Muhammad Zulhilmi Kaharuddin ◽

Siti Badriah Khairu Razak ◽

Mohamed Shawal Abd Rahman ◽

Wee Chang An ◽

Muhammad Ikram Kushairi ◽

...

Keyword(s):

Motion Capture ◽

Depth Camera ◽

Camera Motion ◽

Motion Capture System

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Comparison of the Performance of the Leap Motion ControllerTM with a Standard Marker-Based Motion Capture System

Sensors ◽

10.3390/s21051750 ◽

2021 ◽

Vol 21 (5) ◽

pp. 1750

Author(s):

Amartya Ganguly ◽

Gabriel Rashidi ◽

Katja Mombaur

Keyword(s):

Motion Capture ◽

Gold Standard ◽

Low Cost ◽

Ring Finger ◽

Healthcare Services ◽

Leap Motion ◽

Motion Capture System ◽

Flexion Extension ◽

Standard Marker ◽

Motion Capture Systems

Over the last few years, the Leap Motion Controller™ (LMC) has been increasingly used in clinical environments to track hand, wrist and forearm positions as an alternative to the gold-standard motion capture systems. Since the LMC is marker-less, portable, easy-to-use and low-cost, it is rapidly being adopted in healthcare services. This paper demonstrates the comparison of finger kinematic data between the LMC and a gold-standard marker-based motion capture system, Qualisys Track Manager (QTM). Both systems were time synchronised, and the participants performed abduction/adduction of the thumb and flexion/extension movements of all fingers. The LMC and QTM were compared in both static measuring finger segment lengths and dynamic flexion movements of all fingers. A Bland–Altman plot was used to demonstrate the performance of the LMC versus QTM with Pearson’s correlation (r) to demonstrate trends in the data. Only the proximal interphalangeal joint (PIP) joint of the middle and ring finger during flexion/extension demonstrated acceptable agreement (r = 0.9062; r = 0.8978), but with a high mean bias. In conclusion, the study shows that currently, the LMC is not suitable to replace gold-standard motion capture systems in clinical settings. Further studies should be conducted to validate the performance of the LMC as it is updated and upgraded.

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Comparison of Lower Limb Segments Kinematics in a Taekwondo Kick. An Approach to the Proximal to Distal Motion

Journal of Human Kinetics ◽

10.1515/hukin-2015-0060 ◽

2015 ◽

Vol 47 (1) ◽

pp. 41-49 ◽

Cited By ~ 9

Author(s):

Isaac Estevan ◽

Coral Falco ◽

Julia Freedman Silvernail ◽

Daniel Jandacka

Keyword(s):

Motion Capture ◽

Lower Limb ◽

Kinematic Analysis ◽

Peak Velocity ◽

Frontal Plane ◽

Distal Segment ◽

Proximal Segment ◽

Camera Motion ◽

Motion Capture System ◽

Sequential Movement

AbstractIn taekwondo, there is a lack of consensus about how the kick sequence occurs. The aim of this study was to analyse the peak velocity (resultant and value in each plane) of lower limb segments (thigh, shank and foot), and the time to reach this peak velocity in the kicking lower limb during the execution of the roundhouse kick technique. Ten experienced taekwondo athletes (five males and five females; mean age of 25.3 ±5.1 years; mean experience of 12.9 ±5.3 years) participated voluntarily in this study performing consecutive kicking trials to a target located at their sternum height. Measurements for the kinematic analysis were performed using two 3D force plates and an eight camera motion capture system. The results showed that the proximal segment reached a lower peak velocity (resultant and in each plane) than distal segments (except the peak velocity in the frontal plane where the thigh and shank presented similar values), with the distal segment taking the longest to reach this peak velocity (p < 0.01). Also, at the instant every segment reached the peak velocity, the velocity of the distal segment was higher than the proximal one (p < 0.01). It provides evidence about the sequential movement of the kicking lower limb segments. In conclusion, during the roundhouse kick in taekwondo inter-segment motion seems to be based on a proximo-distal pattern.

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Next-Generation Low-Cost Motion Capture Systems Can Provide Comparable Spatial Accuracy to High-End Systems

Journal of Applied Biomechanics ◽

10.1123/jab.29.1.112 ◽

2013 ◽

Vol 29 (1) ◽

pp. 112-117 ◽

Cited By ~ 43

Author(s):

Dominic Thewlis ◽

Chris Bishop ◽

Nathan Daniell ◽

Gunther Paul

Keyword(s):

Motion Capture ◽

Low Cost ◽

Three Dimensional ◽

Gait Kinematics ◽

Occupational Tasks ◽

Soft Tissue Artifact ◽

New Generation ◽

The Impact ◽

Linear Accuracy ◽

Motion Capture Systems

The objective quantification of three-dimensional kinematics during different functional and occupational tasks is now more in demand than ever. The introduction of new generation of low-cost passive motion capture systems from a number of manufacturers has made this technology accessible for teaching, clinical practice and in small/medium industry. Despite the attractive nature of these systems, their accuracy remains unproved in independent tests. We assessed static linear accuracy, dynamic linear accuracy and compared gait kinematics from a Vicon MX-f20 system to a Natural Point OptiTrack system. In all experiments data were sampled simultaneously. We identified both systems perform excellently in linear accuracy tests with absolute errors not exceeding 1%. In gait data there was again strong agreement between the two systems in sagittal and coronal plane kinematics. Transverse plane kinematics differed by up to 3° at the knee and hip, which we attributed to the impact of soft tissue artifact accelerations on the data. We suggest that low-cost systems are comparably accurate to their high-end competitors and offer a platform with accuracy acceptable in research for laboratories with a limited budget.

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A Low-Cost Instrumented Spatial Linkage Accurately Determines ASIS Position during Cycle Ergometry

Journal of Applied Biomechanics ◽

10.1123/jab.23.3.224 ◽

2007 ◽

Vol 23 (3) ◽

pp. 224-229 ◽

Cited By ~ 11

Author(s):

James C. Martin ◽

Steven J. Elmer ◽

Robert D. Horscroft ◽

Nicholas A.T. Brown ◽

Barry B. Shultz

Keyword(s):

Motion Capture ◽

Low Cost ◽

Cost Effective ◽

Cycle Ergometry ◽

Two Dimensional ◽

Motion Capture System ◽

Valid Measure ◽

Kinematic Data ◽

Vertical Error ◽

Parasagittal Plane

The purpose of this study was to develop and evaluate an alternative method for determining the position of the anterior superior iliac spine (ASIS) during cycling. The approach used in this study employed an instrumented spatial linkage (ISL) system to determine the position of the ASIS in the parasagittal plane. A two-segment ISL constructed using aluminum segments, bearings, and digital encoders was tested statically against a calibration plate and dynamically against a video-based motion capture system. Four well-trained cyclists provided data at three pedaling rates. Statically, the ISL had a mean horizontal error of 0.03 ± 0.21 mm and a mean vertical error of −0.13 ± 0.59 mm. Compared with the video-based motion capture system, the agreement of the location of the ASIS had a mean error of 0.30 ± 0.55 mm for the horizontal dimension and −0.27 ± 0.60 mm for the vertical dimension. The ISL system is a cost-effective, accurate, and valid measure for two-dimensional kinematic data within a range of motion typical for cycling.

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