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Underwater Gait Analysis: A Markerless Approach.

Authors: Mantoan A.; Sawacha Z.; FANTOZZI, SILVIA; CORTESI, MATTEO; Rigato A.; GATTA, GIORGIO; Cobelli C.;

Underwater Gait Analysis: A Markerless Approach.

Abstract

A fundamental need for modern biomechanical and clinical application is the ability to accurately capture normal and pathologic human movement. In this contest, nowadays, the aquatic environment is gaining an even important role within the rehabilitation world, where one of the most common motor task is walking in water. However, state of the art of marker based gait analysis cannot be performed in water environment, where the attachment of skin surface markers is not easy. A markerless approach, based only on synchronized video sequences, has been proposed as a potential solution for underwater (UW) applications. In the present work, an automatic markerless motion capture system has been investigated and its accuracy in UW three-dimensional (3D) lower limbs joint kinematics reconstruction has been tested by means of a comparison with the state of the art. The results demonstrate the feasibility of calculating meaningful joint kinematics from subjects walking UW without any markers attached to the limb. Thus, a markerless approach seems to offer the promise of expanding the applicability of human motion capture in an aquatic environment.

Country
Italy
Keywords

MARKERLESS GAIT ANALYSIS; UNDERWATER; BIOMECHANICS; 3D JOINT KINEMATICS

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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