scholarly journals Closing the Wearable Gap—Part VI: Human Gait Recognition Using Deep Learning Methodologies

Electronics ◽  
2020 ◽  
Vol 9 (5) ◽  
pp. 796 ◽  
Author(s):  
Samaneh Davarzani ◽  
David Saucier ◽  
Preston Peranich ◽  
Will Carroll ◽  
Alana Turner ◽  
...  
Keyword(s):  
Linear Regression ◽  
Motion Capture ◽  
Mean Squared Error ◽  
Error Rates ◽  
Human Gait ◽  
Motion Capture System ◽  
3D Motion ◽  
Ankle Kinematics ◽  
Significant Difference ◽  
3D Motion Capture

A novel wearable solution using soft robotic sensors (SRS) has been investigated to model foot-ankle kinematics during gait cycles. The capacitance of SRS related to foot-ankle basic movements was quantified during the gait movements of 20 participants on a flat surface as well as a cross-sloped surface. In order to evaluate the power of SRS in modeling foot-ankle kinematics, three-dimensional (3D) motion capture data was also collected for analyzing gait movement. Three different approaches were employed to quantify the relationship between the SRS and the 3D motion capture system, including multivariable linear regression, an artificial neural network (ANN), and a time-series long short-term memory (LSTM) network. Models were compared based on the root mean squared error (RMSE) of the prediction of the joint angle of the foot in the sagittal and frontal plane, collected from the motion capture system. There was not a significant difference between the error rates of the three different models. The ANN resulted in an average RMSE of 3.63, being slightly more successful in comparison to the average RMSE values of 3.94 and 3.98 resulting from multivariable linear regression and LSTM, respectively. The low error rate of the models revealed the high performance of SRS in capturing foot-ankle kinematics during the human gait cycle.

Gender differences in the Achilles tendon load during the fencing lunge

2014 ◽  
Vol 6 (3) ◽  
Author(s):  
Jonathan Kenneth Sinclair ◽  
Lindsay Bottoms
Keyword(s):  
Gender Differences ◽  
Achilles Tendon ◽  
Motion Capture ◽  
Tendon Injury ◽  
Force Platform ◽  
Motion Capture System ◽  
3D Motion ◽  
Loading Rates ◽  
Tendon Pathology ◽  
3D Motion Capture

AbstractRecent epidemiological analyses in fencing have shown that injuries and pain linked specifically to fencing training/competition were evident in 92.8% of fencers. Specifically the prevalence of Achilles tendon pathology has increased substantially in recent years, and males have been identified as being at greater risk of Achilles tendon injury compared to their female counterparts. This study aimed to examine gender differences in Achilles tendon loading during the fencing lunge.Achilles tendon load was obtained from eight male and eight female club level epee fencers using a 3D motion capture system and force platform information as they completed simulated lunges. Independent t-tests were performed on the data to determine whether differences existed.The results show that males were associated with significantly greater Achilles tendon loading rates in comparison to females.This suggests that male fencers may be at greater risk from Achilles tendon pathology as a function of fencing training/ competition.

Validity of Linear Position Transducers Versus the Optotrak 3D Motion Capture System

2017 ◽  
Vol 49 (5S) ◽  
pp. 757
Author(s):  
Jessica L. Halle ◽  
Jacob A. Goldsmith ◽  
Cameron Trepeck ◽  
Ryan K. Byrnes ◽  
Daniel M. Cooke ◽  
...  
Keyword(s):  
Motion Capture ◽  
Motion Capture System ◽  
3D Motion ◽  
3D Motion Capture

scholarly journals Exploring the effects of deep brain stimulation and vision on tremor in Parkinson’s disease - benefits from objective methods

2020 ◽  
Vol 17 (1) ◽  
Author(s):  
Per-Anders Fransson ◽  
Maria H. Nilsson ◽  
Diederick C. Niehorster ◽  
Marcus Nyström ◽  
Stig Rehncrona ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Deep Brain Stimulation ◽  
Motion Capture ◽  
Brain Stimulation ◽  
The Body ◽  
Motion Capture System ◽  
3D Motion ◽  
3D Motion Capture ◽  
Deep Brain

Abstract Background Tremor is a cardinal symptom of Parkinson’s disease (PD) that may cause severe disability. As such, objective methods to determine the exact characteristics of the tremor may improve the evaluation of therapy. This methodology study aims to validate the utility of two objective technical methods of recording Parkinsonian tremor and evaluate their ability to determine the effects of Deep Brain Stimulation (DBS) of the subthalamic nucleus and of vision. Methods We studied 10 patients with idiopathic PD, who were responsive to L-Dopa and had more than 1 year use of bilateral subthalamic nucleus stimulation. The patients did not have to display visible tremor to be included in the study. Tremor was recorded with two objective methods, a force platform and a 3 dimensional (3D) motion capture system that tracked movements in four key proximal sections of the body (knee, hip, shoulder and head). They were assessed after an overnight withdrawal of anti-PD medications with DBS ON and OFF and with eyes open and closed during unperturbed and perturbed stance with randomized calf vibration, using a randomized test order design. Results Tremor was detected with the Unified Parkinson’s Disease Rating Scale (UPDRS) in 6 of 10 patients but only distally (hands and feet) with DBS OFF. With the force platform and the 3D motion capture system, tremor was detected in 6 of 10 and 7 of 10 patients respectively, mostly in DBS OFF but also with DBS ON in some patients. The 3D motion capture system revealed that more than one body section was usually affected by tremor and that the tremor amplitude was non-uniform, but the frequency almost identical, across sites. DBS reduced tremor amplitude non-uniformly across the body. Visual input mostly reduced tremor amplitude with DBS ON. Conclusions Technical recording methods offer objective and sensitive detection of tremor that provide detailed characteristics such as peak amplitude, frequency and distribution pattern, and thus, provide information that can guide the optimization of treatments. Both methods detected the effects of DBS and visual input but the 3D motion system was more versatile in that it could detail the presence and properties of tremor at individual body sections.

scholarly journals High Speed 3D Motion Capture System for Flying Golf Ball

2011 ◽  
Vol 19 ◽  
pp. 214-219 ◽  
Author(s):  
Yi-Hong Lin ◽  
Wen-Hong Wu ◽  
Wei-Zhe Huang
Keyword(s):  
Motion Capture ◽  
High Speed ◽  
Golf Ball ◽  
Motion Capture System ◽  
3D Motion ◽  
3D Motion Capture

Evaluation of the Reproducibility of Nonverbal Facial Expressions Using a 3D Motion Capture System

2016 ◽  
Vol 53 (1) ◽  
pp. 22-29 ◽  
Author(s):  
Xiangyang Ju ◽  
Emer O'leary ◽  
Matthew Peng ◽  
Thamer Al-Anezi ◽  
Ashraf Ayoub ◽  
...  
Keyword(s):  
Facial Expressions ◽  
Motion Capture ◽  
Motion Capture System ◽  
3D Motion ◽  
3D Motion Capture

scholarly journals Placement Recommendations for Single Kinect-Based Motion Capture System in Unilateral Dynamic Motion Analysis

Healthcare ◽  
2021 ◽  
Vol 9 (8) ◽  
pp. 1076
Author(s):  
Laisi Cai ◽  
Dongwei Liu ◽  
Ye Ma
Keyword(s):  
Motion Analysis ◽  
Motion Capture ◽  
Upper Limb ◽  
Kinematic Model ◽  
Sensor Placement ◽  
Motion Capture System ◽  
Kinect Sensor ◽  
3D Motion ◽  
Flexion Extension ◽  
3D Motion Capture

Low-cost, portable, and easy-to-use Kinect-based systems achieved great popularity in out-of-the-lab motion analysis. The placement of a Kinect sensor significantly influences the accuracy in measuring kinematic parameters for dynamics tasks. We conducted an experiment to investigate the impact of sensor placement on the accuracy of upper limb kinematics during a typical upper limb functional task, the drinking task. Using a 3D motion capture system as the golden standard, we tested twenty-one Kinect positions with three different distances and seven orientations. Upper limb joint angles, including shoulder flexion/extension, shoulder adduction/abduction, shoulder internal/external rotation, and elbow flexion/extension angles, are calculated via our developed Kinect kinematic model and the UWA kinematic model for both the Kinect-based system and the 3D motion capture system. We extracted the angles at the point of the target achieved (PTA). The mean-absolute-error (MEA) with the standard represents the Kinect-based system’s performance. We conducted a two-way repeated measure ANOVA to explore the impacts of distance and orientation on the MEAs for all upper limb angles. There is a significant main effect for orientation. The main effects for distance and the interaction effects do not reach statistical significance. The post hoc test using LSD test for orientation shows that the effect of orientation is joint-dependent and plane-dependent. For a complex task (e.g., drinking), which involves body occlusions, placing a Kinect sensor right in front of a subject is not a good choice. We suggest that place a Kinect sensor at the contralateral side of a subject with the orientation around 30∘ to 45∘ for upper limb functional tasks. For all kinds of dynamic tasks, we put forward the following recommendations for the placement of a Kinect sensor. First, set an optimal sensor position for capture, making sure that all investigated joints are visible during the whole task. Second, sensor placement should avoid body occlusion at the maximum extension. Third, if an optimal location cannot be achieved in an out-of-the-lab environment, researchers could put the Kinect sensor at an optimal orientation by trading off the factor of distance. Last, for those need to assess functions of both limbs, the users can relocate the sensor and re-evaluate the functions of the other side once they finish evaluating functions of one side of a subject.

VALIDITY OF A FBG-BASED SMART SOCK SYSTEM FOR MEASURING TOE GRIP FUNCTION IN HUMAN FOOT

2020 ◽  
Vol 20 (03) ◽  
pp. 2050015
Author(s):  
YIXUAN LEOW ◽  
MARABELLE LI-WEN HENG ◽  
YIMIN LIU ◽  
DANIEL T. P. FONG ◽  
CHI CHIU CHAN ◽  
...  
Keyword(s):  
Motion Capture ◽  
Mean Squared Error ◽  
Calibration Equation ◽  
3D Motion ◽  
Human Foot ◽  
Squared Error ◽  
Fiber Technology ◽  
Left And Right ◽  
Fbg Sensors ◽  
3D Motion Capture

This study developed a smart sock system using optical fiber technology to measure the toe grip function of individual toes. The system comprised Fiber Bragg grating (FBG) sensors incorporated into a sock garment for measuring maximum toe flexion displacements. Calibration equation of each FBG sensor was determined from 3D motion capture system on 10 female subjects. The validity of the smart sock system was checked by comparing maximum toe flexion displacement against the gold standard of 3D motion capture. The root mean squared error was 0.95 (0.57) cm across 10 toes. The magnitude of toe displacement and error was similar between the left and right feet. In conclusion, the FBG-based smart sock system can successfully measure maximum toe flexion displacements of individual toes simultaneously. This system can be developed to support the evaluation of toe grip function in clinical and field settings.

P30: An open database of synchronized, high precision 3D motion capture data for human gait analysis research and development

2017 ◽  
Vol 57 ◽  
pp. 241-242 ◽  
Author(s):  
Elise Klæbo Vonstad ◽  
Else Lervik ◽  
Tomas Holt ◽  
Mildrid Ljosland ◽  
Grethe Sandstrak ◽  
...  
Keyword(s):  
Research And Development ◽  
Gait Analysis ◽  
Motion Capture ◽  
High Precision ◽  
Human Gait ◽  
Motion Capture Data ◽  
3D Motion ◽  
Human Gait Analysis ◽  
3D Motion Capture

scholarly journals Validity of the Center of Mass Assessed by an Accelerometer: Comparison with a 3D Motion Capture System

2016 ◽  
Vol 31 (4) ◽  
pp. 591-596 ◽  
Author(s):  
Yu HORIMIZU ◽  
Minoru KIMOTO ◽  
Yoshino TERUI ◽  
Akiho TAKAHASHI ◽  
Tomoko FUKUI ◽  
...  
Keyword(s):  
Motion Capture ◽  
Center Of Mass ◽  
Motion Capture System ◽  
3D Motion ◽  
3D Motion Capture
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