Full Body Three Dimensional Joint Angles Validation Using TEA Ergo Inertial Measurement Units

Peeters, Thomas; Verwulgen, Stijn; Garimella, Raman; Beyers, Koen; Truijen, Steven

doi:10.1007/978-3-030-02053-8_133

Cited by 6 publications

(4 citation statements)

References 11 publications

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“…A 3D motion capture system (from CAPTIV motion, TEA ergo Inc., France), recorded the simultaneous measurements of toe clearance for verification purposes. CAPTIV uses multiple inertial measurement units (IMUs) attached to the body as per the standard protocol to measure full-body kinematics, including toe clearance [51], [52]. Based on the similar foot size (foot length; 22±1.3cm for able bodied and 21.3±0cm for amputees) of the participants, only one size of the instrumented shoe (UK8) was utilized.…”

Section: (C) Experiments Protocolsmentioning

confidence: 99%

Design and Validation of a Real-Time Visual Feedback System to Improve Minimum Toe Clearance (mTC) in Transfemoral Amputees

Tiwari

Joshi

2021

IEEE Trans. Neural Syst. Rehabil. Eng.

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Tripping is accompanied by reduced minimum toe clearance (mTC) during the swing phase of gait. The risk of fall due to tripping among transfemoral amputees is nearly 67% which is greater than the transtibial amputees. Therefore, intervention to improve mTC can potentially enhance the quality of life among transfemoral amputees. In this paper, we first develop a real-time visual feedback system with center of pressure (CoP) information. Next, we recruited six able-bodied and three transfemoral amputees to investigate the effect on mTC while participants were trained to shift the CoP anteriorly/posteriorly during heel strike. Finally, to assess the lasting effect of training on mTC, retention trials were conducted without feedback. During feedback, posterior shift in the CoP improved the mTC significantly from 4.68±0.40cm to 6.12±0.68cm (p<0.025) in able-bodied participants. A similar significant improvement in mTC from 4.60±0.55cm to 5.62±0.57cm was observed in amputees during posterior shift of CoP. Besides mTC, maximal toe clearances, i.e., maxTC1 and maxTC2, also showed a significant increase (p<0.025) during the posterior shift of CoP in both the participants. Moreover, during retention, mTC did not differ significantly (p>0.05) from feedback condition in amputee, suggesting a positive effect of feedback training. The foot-to-ground angle (FGA) at mTC increased significantly (P<0.025) during posterior shift feedback in able-bodied suggests active ankle dorsiflexion in increasing mTC. However, in amputees, FGA at mTC did not differ significantly during both anterior and posterior CoP shift feedback. The present findings suggest CoP feedback as a potential strategy during gait rehabilitation of transfemoral amputees.

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Section: (C) Experiments Protocolsmentioning

confidence: 99%

Design and Validation of a Real-Time Visual Feedback System to Improve Minimum Toe Clearance (mTC) in Transfemoral Amputees

Tiwari

Joshi

2021

IEEE Trans. Neural Syst. Rehabil. Eng.

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“…From table 1 we can observe that the use of optical based systems has been a major trend for ergonomic assessment. However, recent developments show that the use of inertial measurement units seems to be more appropriate for the use in workplace and manufacturing sites given their ability to do real-time assessment on-site while avoiding the need for a dedicated motion capture room or laboratory (Peeters et al, 2019). This gives the assessment system the advantage of being able to be used on the simulation during the design phase and on the real manufacturing site once it is built.…”

Section: Related Workmentioning

confidence: 99%

“…While optical based motion systems tend to have higher precision, recent research has shown that the performance of IMU can be as good as optical systems. Depending on the activity to be assessed (like in the manufacturing floor) their differences are on acceptable ranges (Peeters et al, 2019). Additionally, to the motion sensors some of the proposed systems provide the possibility to integrate other biometrical measures (e.g.…”

Section: Related Workmentioning

confidence: 99%

“…Inertial motion capture system The motion capture is performed through 15 IMU (TEA-ergo) with a sampling frequency of 64 Hz placed around the body and joints of the user. The IMUs has being previously tested for their accuracy against optic-based systems (Peeters et al, 2019). The sensor information is transmitted through RF to a receptor unit (T-REC) that is connected (USB) to the main computer, where the VR scene and the Captiv software are running.…”

Section: System Architecture Designmentioning

confidence: 99%

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