scholarly journals Motion Analysis System Using Motion Capture and 3D Computer Graphics

2009 ◽  
Vol 45 (1) ◽  
pp. 12-18 ◽  
Author(s):  
Tsuyoshi MATSUKAWA ◽  
Kiyoko YOKOYAMA ◽  
Tomohiro UMETANI ◽  
Masanori NAGATA
2011 ◽  
Vol 131 (4) ◽  
pp. 270-276 ◽  
Author(s):  
Yukitaka Shinoda ◽  
Shingo Murakami ◽  
Yuta Watanabe ◽  
Yuki Mito ◽  
Reishi Watanuma ◽  
...  

2018 ◽  
Vol 141 (1) ◽  
Author(s):  
Aoife Healy ◽  
Kimberley Linyard-Tough ◽  
Nachiappan Chockalingam

While previous research has assessed the validity of the OptoGait system to the GAITRite walkway and an instrumented treadmill, no research to date has assessed this system against a traditional three-dimensional motion analysis system. Additionally, previous research has shown that the OptoGait system shows systematic bias when compared to other systems due to the configuration of the system's hardware. This study examined the agreement between the spatiotemporal gait parameters calculated from the OptoGait system and a three-dimensional motion capture (14 camera Vicon motion capture system and 2 AMTI force plates) in healthy adults. Additionally, a range of filter settings for the OptoGait were examined to determine if it was possible to eliminate any systematic bias between the OptoGait and the three-dimensional motion analysis system. Agreement between the systems was examined using 95% limits of agreement by Bland and Altman and the intraclass correlation coefficient. A repeated measure ANOVA was used to detect any systematic differences between the systems. Findings confirm the validity of the OptoGait system for the evaluation of spatiotemporal gait parameters in healthy adults. Furthermore, recommendations on filter settings which eliminate the systematic bias between the OptoGait and the three-dimensional motion analysis system are provided.


2021 ◽  
pp. 1-14
Author(s):  
Rixu Liu ◽  
Dongyang Qian ◽  
Yushu Chen ◽  
Jianyu Zou ◽  
Shicong Zheng ◽  
...  

Author(s):  
Gunjan Patel ◽  
Rajani Mullerpatan ◽  
Bela Agarwal ◽  
Triveni Shetty ◽  
Rajdeep Ojha ◽  
...  

Wearable inertial sensor-based motion analysis systems are promising alternatives to standard camera-based motion capture systems for the measurement of gait parameters and joint kinematics. These wearable sensors, unlike camera-based gold standard systems, find usefulness in outdoor natural environment along with confined indoor laboratory-based environment due to miniature size and wireless data transmission. This study reports validation of our developed (i-Sens) wearable motion analysis system against standard motion capture system. Gait analysis was performed at self-selected speed on non-disabled volunteers in indoor ( n = 15) and outdoor ( n = 8) environments. Two i-Sens units were placed at the level of knee and hip along with passive markers (for indoor study only) for simultaneous 3D motion capture using a motion capture system. Mean absolute percentage error (MAPE) was computed for spatiotemporal parameters from the i-Sens system versus the motion capture system as a true reference. Mean and standard deviation of kinematic data for a gait cycle were plotted for both systems against normative data. Joint kinematics data were analyzed to compute the root mean squared error (RMSE) and Pearson’s correlation coefficient. Kinematic plots indicate a high degree of accuracy of the i-Sens system with the reference system. Excellent positive correlation was observed between the two systems in terms of hip and knee joint angles (Indoor: hip 3.98° ± 1.03°, knee 6.48° ± 1.91°, Outdoor: hip 3.94° ± 0.78°, knee 5.82° ± 0.99°) with low RMSE. Reliability characteristics (defined using standard statistical thresholds of MAPE) of stride length, cadence, walking speed in both outdoor and indoor environment were well within the “Good” category. The i-Sens system has emerged as a potentially cost-effective, valid, accurate, and reliable alternative to expensive, standard motion capture systems for gait analysis. Further clinical trials using the i-Sens system are warranted on participants across different age groups.


Sensors ◽  
2010 ◽  
Vol 10 (12) ◽  
pp. 10733-10751 ◽  
Author(s):  
Rodrigo Pérez ◽  
Úrsula Costa ◽  
Marc Torrent ◽  
Javier Solana ◽  
Eloy Opisso ◽  
...  

Author(s):  
Magalí Sganga ◽  
Marcos Alfredo Nuñez ◽  
Lucas Eduardo Ritacco ◽  
Marcos José Crespo ◽  
Emiliano Pablo Ravera

2018 ◽  
Vol 13 (4) ◽  
Author(s):  
Pui Wa Fung ◽  
Kam Ming Mok ◽  
Ruen Shan Leow ◽  
Sai Chuen Fu ◽  
Patrick Shu Hang Yung ◽  
...  

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