scholarly journals Kinect-based posturography for in-home rehabilitation of balance disorders

2015 ◽  
Vol 4 ◽  
Author(s):  
Tomoya Tamei ◽  
Yasuyuki Orito ◽  
Hiroyuki Funaya ◽  
Kazushi Ikeda ◽  
Yohei Okada ◽  
...  
Keyword(s):  
Center Of Pressure ◽  
Low Cost ◽  
Body Motion ◽  
Whole Body ◽  
Balance Disorders ◽  
Wii Balance Board ◽  
Rehabilitation System ◽  
Optical Motion ◽  
Optical Motion Capture ◽  
Balance Board

Low-cost, compact, and accurate systems for in-home rehabilitation are needed in aging, aged, and hyper-aged groups. In this study, we developed an in-home rehabilitation system for patients with balance disorders by providing visual feedback of postural information in real-time. Our system measures the user's whole body motion and the center of pressure (COP) using a Kinect and Wii Balance Board (WBB). The accuracy of body motion for estimating the anterior folding and lateral bending angles was validated experimentally by comparing the estimates with the angles given by an optical motion capture system. Additional experiments showed that the COP has a small correlation coefficient with the angles, suggesting that WBB is necessary for measuring the COP.

Design and Characterization of a Passive Instrumented Hand

2020 ◽  
Vol 1 (1) ◽  
Author(s):  
Saad N. Yousaf ◽  
Victoria S. Joshi ◽  
John E. Britt ◽  
Chad G. Rose ◽  
Marcia K. O’Malley
Keyword(s):  
Low Cost ◽  
Motor Impairment ◽  
Functional Independence ◽  
Measurement Tool ◽  
Position Sensing ◽  
Torque Measurements ◽  
Optical Motion ◽  
Accurate Position ◽  
Optical Motion Capture ◽  
Capture Techniques

Abstract Although soft robotic assistive gloves have high potential for restoring functional independence for individuals with motor impairment, their lack of rigid components makes it difficult to obtain accurate position sensing to validate their performance. To track soft device motion, standard practice relies on costly optical motion capture techniques, which have reduced accuracy due to limitations in marker occlusion and device deformation. We propose the Instrumented Hand as a low-cost, open-source measurement tool to serve as a standard solution for acquiring joint-level position and torque measurements from magnetoresistive sensors. Shown in a case study, the Instrumented Hand can be used to validate soft wearable devices and evaluate range of motion (ROM) and torque capabilities.

scholarly journals Validating and Calibrating the Nintendo Wii Balance Board to Derive Reliable Center of Pressure Measures

Sensors ◽  
2014 ◽  
Vol 14 (10) ◽  
pp. 18244-18267 ◽  
Author(s):  
Julia Leach ◽  
Martina Mancini ◽  
Robert Peterka ◽  
Tamara Hayes ◽  
Fay Horak
Keyword(s):  
Center Of Pressure ◽  
Nintendo Wii ◽  
Wii Balance Board ◽  
Balance Board

Research on Intangible Cultural Heritage Based on Motion Capture

2014 ◽  
Vol 568-570 ◽  
pp. 676-680
Author(s):  
Si Xi Chen ◽  
Shu Chen
Keyword(s):  
Cultural Heritage ◽  
Motion Capture ◽  
Low Cost ◽  
Three Dimensional ◽  
Intangible Cultural Heritage ◽  
Three Dimensional Model ◽  
Motion Data ◽  
Optical Motion ◽  
Capture Method ◽  
Optical Motion Capture

The application of digital technology on the protection of intangible cultural heritage is a major topic of research in recent years. The motion capture technology of protection will gradually replace the traditional recording methods such as texts, pictures and videos. It is valuable to build a high-fidelity, high-modular and low-cost digital platform for choreographic data collection and extended application. This paper studies the intangible cultural heritage of Quanzhou breast-clapping dance, one of the most famous choreographic intangible cultural heritages from China with standard optical motion capture method. The data are acquiring and processing after the dance motion capture, we binds the motion data and three-dimensional model using Motion Builder and build digital demonstration platform base on an OGRE engine to display the movements. The viewer can view at any angle and distance. The system can be easily applied in motion intangible cultural heritages protection project. Furthermore, the system can be provided versatile motion data for additional use.

scholarly journals Implementation of Kinetic and Kinematic Variables in Ergonomic Risk Assessment Using Motion Capture Simulation: A Review

2021 ◽  
Vol 18 (16) ◽  
pp. 8342
Author(s):  
Muhamad Nurul Hisyam Yunus ◽  
Mohd Hafiidz Jaafar ◽  
Ahmad Sufril Azlan Mohamed ◽  
Nur Zaidi Azraai ◽  
Md. Sohrab Hossain
Keyword(s):  
Risk Assessment ◽  
Motion Capture ◽  
Low Cost ◽  
Classical Mechanics ◽  
Assessment Method ◽  
Work Related ◽  
Optical Motion ◽  
Optical Motion Capture ◽  
Ergonomic Risk Assessment ◽  
Ergonomic Risk

Work-related musculoskeletal disorders (WMSDs) are among the most common disorders in any work sector and industry. Ergonomic risk assessment can reduce the risk of WMSDs. Motion capture that can provide accurate and real-time quantitative data has been widely used as a tool for ergonomic risk assessment. However, most ergonomic risk assessments that use motion capture still depend on the traditional ergonomic risk assessment method, focusing on qualitative data. Therefore, this article aims to provide a view on the ergonomic risk assessment and apply current motion capture technology to understand classical mechanics of physics that include velocity, acceleration, force, and momentum in ergonomic risk assessment. This review suggests that using motion capture technologies with kinetic and kinematic variables, such as velocity, acceleration, and force, can help avoid inconsistency and develop more reliable results in ergonomic risk assessment. Most studies related to the physical measurement conducted with motion capture prefer to use non-optical motion capture because it is a low-cost system and simple experimental setup. However, the present review reveals that optical motion capture can provide more accurate data.

scholarly journals Accuracy of a Low-Cost 3D-Printed Wearable Goniometer for Measuring Wrist Motion

Sensors ◽  
2021 ◽  
Vol 21 (14) ◽  
pp. 4799
Author(s):  
Calvin Young ◽  
Sarah DeDecker ◽  
Drew Anderson ◽  
Michele L. Oliver ◽  
Karen D. Gordon
Keyword(s):  
Motion Capture ◽  
Low Cost ◽  
Wearable Device ◽  
Matching Task ◽  
Motion Capture System ◽  
Wrist Motion ◽  
Flexion Extension ◽  
Optical Motion ◽  
3D Printed ◽  
Optical Motion Capture

Wrist motion provides an important metric for disease monitoring and occupational risk assessment. The collection of wrist kinematics in occupational or other real-world environments could augment traditional observational or video-analysis based assessment. We have developed a low-cost 3D printed wearable device, capable of being produced on consumer grade desktop 3D printers. Here we present a preliminary validation of the device against a gold standard optical motion capture system. Data were collected from 10 participants performing a static angle matching task while seated at a desk. The wearable device output was significantly correlated with the optical motion capture system yielding a coefficient of determination (R2) of 0.991 and 0.972 for flexion/extension (FE) and radial/ulnar deviation (RUD) respectively (p < 0.0001). Error was similarly low with a root mean squared error of 4.9° (FE) and 3.9° (RUD). Agreement between the two systems was quantified using Bland–Altman analysis, with bias and 95% limits of agreement of 3.1° ± 7.4° and −0.16° ± 7.7° for FE and RUD, respectively. These results compare favourably with current methods for occupational assessment, suggesting strong potential for field implementation.

scholarly journals Application Of Motion Capture Systems In Ergonomic Analysis

2020 ◽  
Vol 1 (1) ◽  
pp. 107-117
Author(s):  
Tigran Petrosyan ◽  
Arayik Dunoyan ◽  
Hasmik Mkrtchyan
Keyword(s):  
Motion Capture ◽  
Motion Tracking ◽  
Low Cost ◽  
Objective Assessment ◽  
Body Motion ◽  
Optical Systems ◽  
Wide Range ◽  
Optical Motion ◽  
Set Up ◽  
Ergonomic Analysis

Currently different methods are used for ergonomic assessment and analysis. This review tries to show how motion capture technology is applied in the process of ergonomic assessment. The goals of the analysis were to identify the most adequate method for objective assessment of ergonomics. The results show that the optical motion tracking systems with special software can be used to perform digital analysis of body motion. These systems do not require long set up time, majority of them are portable and the sensors are available in the market for a low cost. Movements of the working person are captured without special clothes equipped with markers. Though the optical systems could be acceptable in a wide range of tasks, they have certain limitations in ergonomic analysis. The performance of optical systems depends on a number of variables such as lighting, type of movements, distance from the object and environmental artefacts. The performance of existing systems is not yet completely reliable, but the technology is on the path of improving its accuracy. There are also other mechanical and magnetic technologies used for ergonomic analysis. This review shows that ergonomic simulations using the motion capture technology significantly improves the quality of ergonomic analysis.

Correlation Between Center of Pressure Measures Driven from Wii Balance Board and Force Platform

2017 ◽  
Vol In Press (In Press) ◽  
Author(s):  
Ladan Zakeri ◽  
Ali Asghar Jamebozorgi ◽  
Amir Hossein Kahlaee
Keyword(s):  
Center Of Pressure ◽  
Force Platform ◽  
Wii Balance Board ◽  
Balance Board

scholarly journals Validation of an IMU Suit for Military-Based Tasks

Sensors ◽  
2020 ◽  
Vol 20 (15) ◽  
pp. 4280 ◽  
Author(s):  
Matthew P. Mavor ◽  
Gwyneth B. Ross ◽  
Allison L. Clouthier ◽  
Thomas Karakolis ◽  
Ryan B. Graham
Keyword(s):  
Motion Capture ◽  
Principal Component ◽  
Load Carriage ◽  
Body Motion ◽  
Promising Alternative ◽  
Flexion Extension ◽  
Optical Motion ◽  
Optical Motion Capture ◽  
Optical Markers ◽  
Full Body

Investigating the effects of load carriage on military soldiers using optical motion capture is challenging. However, inertial measurement units (IMUs) provide a promising alternative. Our purpose was to compare optical motion capture with an Xsens IMU system in terms of movement reconstruction using principal component analysis (PCA) using correlation coefficients and joint kinematics using root mean squared error (RMSE). Eighteen civilians performed military-type movements while their motion was recorded using both optical and IMU-based systems. Tasks included walking, running, and transitioning between running, kneeling, and prone positions. PCA was applied to both the optical and virtual IMU markers, and the correlations between the principal component (PC) scores were assessed. Full-body joint angles were calculated and compared using RMSE between optical markers, IMU data, and virtual markers generated from IMU data with and without coordinate system alignment. There was good agreement in movement reconstruction using PCA; the average correlation coefficient was 0.81 ± 0.14. RMSE values between the optical markers and IMU data for flexion-extension were less than 9°, and 15° for the lower and upper limbs, respectively, across all tasks. The underlying biomechanical model and associated coordinate systems appear to influence RMSE values the most. The IMU system appears appropriate for capturing and reconstructing full-body motion variability for military-based movements.

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