Tracking the whole-body centre of mass of humans seated in a wheelchair using motion capture

Chénier, Félix; Marquis, Etienne; Fleury-Rousseau, Maude

doi:10.1016/j.jbiomech.2023.111675

Cited by 3 publications

(2 citation statements)

References 28 publications

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“…Until now, wheelchairs were an alternative tool commonly used by stroke sufferers. The wheelchair is an interface mobility device between the user and the environment [1]. Not only for stroke sufferers, but wheelchairs are also commonly used by persons with disabilities for rehabilitation [2].…”

Section: Introductionmentioning

confidence: 99%

Redesign wheelchairs for stroke sufferers using the Quality Function Deployment method

Apriani,

Purnomo

2024

Sinergi

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The prevalence of stroke in Indonesia continues to increase, so there is a need for mobility assistance. In today's era, high mobility is necessary to live with freedom, but stroke sufferers still struggle to achieve comfort when using this mobility, namely wheelchairs. The author conducted research to redesign a wheelchair that is tailored to the needs of stroke sufferers. This research was conducted using the Quality Function Deployment method to obtain information on the needs of stroke sufferers and the Wilcoxon Difference Test method to determine the level of difference between old wheelchair designs and improvements. The results showed that the wheelchairs needed by stroke sufferers were multifunctional, ergonomic, flexible, safe, and materially sound. In the results of the Wilcoxon Difference Test, which was carried out based on the hypothesis, it is known that only the flexible attribute has no difference compared to the previous wheelchair design product. In contrast, the other four attributes have different values for the old wheelchair design and the improved design. Thus, redesigning wheelchairs is accomplished by obtaining design specifications that meet the needs of stroke sufferers.

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Section: Introductionmentioning

confidence: 99%

Redesign wheelchairs for stroke sufferers using the Quality Function Deployment method

Apriani,

Purnomo

2024

Sinergi

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“…An alternative is to measure kinematics and derive the instantaneous load distribution from that. Whereas marker-based motion capturing has previously been used for this (Chénier et al, 2023 ; van Dijk et al, 2024 ), and inertial sensors (inertial measurement units [IMUs]) are preferred as they are less invasive, inexpensive and readily used in wheelchair (sports) practice. Upper body motions can be approximated by IMU-based trunk motion (ignoring arm movements), and wheelchair kinematics can be obtained from a wheel-mounted IMU (van der Slikke et al, 2015 ; van Dijk et al, 2022 ; van Dijk, Kok, et al, 2021 ).…”

Section: Introductionmentioning

confidence: 99%

Towards an accurate rolling resistance: Estimating intra-cycle load distribution between front and rear wheels during wheelchair propulsion from inertial sensors

van Dijk,

Heringa,

Berger

et al. 2024

Journal of Sports Sciences

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Accurate assessment of rolling resistance is important for wheelchair propulsion analyses. However, the commonly used drag and deceleration tests are reported to underestimate rolling resistance up to 6% due to the (neglected) influence of trunk motion. The first aim of this study was to investigate the accuracy of using trunk and wheelchair kinematics to predict the intra-cyclical load distribution, more particularly front wheel loading, during hand-rim wheelchair propulsion. Secondly, the study compared the accuracy of rolling resistance determined from the predicted load distribution with the accuracy of drag test-based rolling resistance. Twenty-five able-bodied participants performed hand-rim wheelchair propulsion on a large motor-driven treadmill. During the treadmill sessions, front wheel load was assessed with load pins to determine the load distribution between the front and rear wheels. Accordingly, a machine learning model was trained to predict front wheel load from kinematic data. Based on two inertial sensors (attached to the trunk and wheelchair) and the machine learning model, front wheel load was predicted with a mean absolute error (MAE) of 3.8% (or 1.8 kg). Rolling resistance determined from the predicted load distribution (MAE: 0.9%, mean error (ME): 0.1%) was more accurate than drag test-based rolling resistance (MAE: 2.5%, ME: −1.3%).

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Age affects the dynamic interaction between kinematics and gait stability

Liang

2024

Front. Bioeng. Biotechnol.

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Introduction: It is crucial to comprehend the interplay between the center of mass (CoM) and base of support (BoS) in elderly individuals’ body movements, as it could have implications for fall prevention.Methods: The purpose of this study is to characterize age-related differences using the instantaneous location of the CoM and CoM velocity vector in relation to the dynamically changing BoS during walking. Thirty subjects participated in the experiments. Derivation formulas of feasible stability region and age-related statistical analyses were proposed.Results: The stability margin and distance to centroid for elderly group were found to be significantly different from the young group (p < 0.05). At heel strike, while the CoMv distance was similar for age-based groups (p > 0.05), older individuals demonstrated a greater CoMv distance to the border than the younger at right limb, which suggesting age-related differences in momentum control. In addition, Bland-Altman analysis indicated that the validity was substantial, making it feasible to capture stride-to-stride variability.Discussion: The CoM trajectories and feasible stability region could provide a better understanding of human momentum control, underlying mechanisms of body instability and gait imbalance.

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Tracking the whole-body centre of mass of humans seated in a wheelchair using motion capture

Cited by 3 publications

References 28 publications

Redesign wheelchairs for stroke sufferers using the Quality Function Deployment method

Redesign wheelchairs for stroke sufferers using the Quality Function Deployment method

Towards an accurate rolling resistance: Estimating intra-cycle load distribution between front and rear wheels during wheelchair propulsion from inertial sensors

Age affects the dynamic interaction between kinematics and gait stability

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