Accuracy between optical and inertial motion capture systems for assessing trunk speed during preferred gait and transition periods

Fleron, Martin Kokholm; Ubbesen, Niels Christian Hauerbach; Battistella, Francesco; Dejtiar, David Leandro; Oliveira, Anderson Souza

doi:10.1080/14763141.2017.1409259

Cited by 24 publications

(26 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Therefore, it is essential to assess the movement patterns of VI players in the most natural conditions possible. Inertial motion capture systems (IMC) have become highly popular in recent years, providing acceptable measurements of human kinematics in different movement conditions 13,14 . Especially for sports activities, IMCs allows recordings of kinematic data in more natural conditions, such as open spaces like football courts.…”

Section: Introductionmentioning

confidence: 99%

Kinematic Profile of Visually Impaired Football Players During Specific Sports Actions

Finocchietti

Gori

Oliveira

2019

Sci Rep

View full text Add to dashboard Cite

Blind football, or Football 5-a-side, is a very popular sport amongst visually impaired individuals (VI) worldwide. However, little is known regarding the movement patterns these players perform in sports actions. Therefore, the aim of this study was to determine whether visually impaired players present changes in their movement patterns in specific functional tasks compared with sighted amateur football players. Six VI and eight sighted amateur football players performed two functional tasks: (1) 5 m shuttle test and (2) 60 s ball passing against a wall. The sighted players performed the tests while fully sighted (SIG) as well as blindfolded (BFO). During both tasks, full-body kinematics was recorded using an inertial motion capture system. The maximal center-of-mass speed and turning center-of-mass speed were computed during the 5 m shuttle test. Foot resultant speed, bilateral arm speed, and trunk flexion were measured during the 60 s ball passing test. The results showed that VI players achieved lower maximal and turning speed compared to SIG players (p < 0.05), but BFO were slower than the VI players. The VI players presented similar foot contact speed during passes when compared to SIG, but they presented greater arm movement speed (p < 0.05) compared to both SIG and BFO. In addition, VI players presented greater trunk flexion angles while passing when compared to both SIG and BFO (p < 0.05). It is concluded that VI players present slower speed while running and turning, and they adopt specific adaptations from arm movements and trunk flexion to perform passes.

show abstract

Section: Introductionmentioning

confidence: 99%

Kinematic Profile of Visually Impaired Football Players During Specific Sports Actions

Finocchietti

Gori

Oliveira

2019

Sci Rep

View full text Add to dashboard Cite

show abstract

“…Pearson’s correlation coefficient

between the estimated level of fatigue and self-reported fatigue level was used as the evaluation criterion (as shown in Equation ( 5 )). The coefficient

can be categorized as weak (

), moderate (

), strong (

), or excellent (

) [ 45 , 46 ]. For each K-fold cross-validation, the training phase was stopped when the accuracy of the validation set started to decrease, and the corresponding CNN-based regression was saved.…”

Section: Materials and Methodsmentioning

confidence: 99%

A Data-Driven Approach to Predict Fatigue in Exercise Based on Motion Data from Wearable Sensors or Force Plate

Jiang

Hernandez

Venture

et al. 2021

Sensors

View full text Add to dashboard Cite

Fatigue increases the risk of injury during sports training and rehabilitation. Early detection of fatigue during exercises would help adapt the training in order to prevent over-training and injury. This study lays the foundation for a data-driven model to automatically predict the onset of fatigue and quantify consequent fatigue changes using a force plate (FP) or inertial measurement units (IMUs). The force plate and body-worn IMUs were used to capture movements associated with exercises (squats, high knee jacks, and corkscrew toe-touch) to estimate participant-specific fatigue levels in a continuous fashion using random forest (RF) regression and convolutional neural network (CNN) based regression models. Analysis of unseen data showed high correlation (up to 89%, 93%, and 94% for the squat, jack, and corkscrew exercises, respectively) between the predicted fatigue levels and self-reported fatigue levels. Predictions using force plate data achieved similar performance as those with IMU data; the best results in both cases were achieved with a convolutional neural network. The displacement of the center of pressure (COP) was found to be correlated with fatigue compared to other commonly used features of the force plate. Bland–Altman analysis also confirmed that the predicted fatigue levels were close to the true values. These results contribute to the field of human motion recognition by proposing a deep neural network model that can detect fairly small changes of motion data in a continuous process and quantify the movement. Based on the successful findings with three different exercises, the general nature of the methodology is potentially applicable to a variety of other forms of exercises, thereby contributing to the future adaptation of exercise programs and prevention of over-training and injury as a result of excessive fatigue.

show abstract

“…An interesting job is the one developed by Fleron et al [34], where the objective was to determine the accuracy of trunk speed while walking, using an inertial motion system compared to a gold standard optical motion system. It was concluded that trunk speed extracted from inertial systems has a reasonable precision during the gait movement, but the accuracy was reduced during the transition periods.…”

Section: Motion Capture Based On Inertial-magnetic and Optical Systemsmentioning

confidence: 99%

Proposal for Gait Analysis Using Fusion of Inertial-Magnetic and Optical Sensors

Callejas-Cuervo

Vélez-Guerrero

Alarcón-Aldana

2020

reveia

View full text Add to dashboard Cite

A proposed measurement protocol for the lower limbs movement analysis during walking is presented, with the use of a measurement system based on inertial-magnetic motion processing units and an optical system. Initially, the state of the art in terms of methods and tools for the biomechanical capture of movements is shown, to finally explore the protocols used in the health sciences for the gait analysis. The measurement proposal made in this document uses robust features of inertial-magnetic and optical technology that can be used in medical diagnosis. The application of this proposal can generate tools that have a positive impact in the fields of health and medicine.

show abstract

Accuracy between optical and inertial motion capture systems for assessing trunk speed during preferred gait and transition periods

Cited by 24 publications

References 26 publications

Kinematic Profile of Visually Impaired Football Players During Specific Sports Actions

Kinematic Profile of Visually Impaired Football Players During Specific Sports Actions

A Data-Driven Approach to Predict Fatigue in Exercise Based on Motion Data from Wearable Sensors or Force Plate

Proposal for Gait Analysis Using Fusion of Inertial-Magnetic and Optical Sensors

Contact Info

Product

Resources

About