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Publications

Publications by C-BER

2019

Validation of Whole-Body COM Movement from 3D Anthropometric Image with Dynamic Data at Different Human Standard MVJ

Authors
Rodrigues, C; Correia, MV; Abrantes, JMCS; Nadal, J; Rodrigues, MAB;

Publication
VipIMAGE 2019 - Lecture Notes in Computational Vision and Biomechanics

Abstract

2019

Lower Limb Joint Angle Coordination Assessment at Sagittal Plane on Human Vertical Countermovement

Authors
Rodrigues, C; Correia, MV; Abrantes, JMCS; Nadal, J; Rodrigues, MAB;

Publication
VipIMAGE 2019 - Lecture Notes in Computational Vision and Biomechanics

Abstract

2019

Detection and classification of multidirectional steps for motor-cognitive training in older adults using shoe-mounted inertial sensors *

Authors
Guimaraes, V; Sousa, I; Correia, MV;

Publication
2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

Abstract

2019

Skin temperature of the foot: comparing transthyretin Familial Amyloid Polyneuropathy and Diabetic Foot patients

Authors
Seixas, A; Vilas Boas, MD; Carvalho, R; Coelho, T; Ammer, K; Vilas Boas, JP; Mendes, J; Silva Cunha, JPS; Vardasca, R;

Publication
Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization

Abstract

2019

Optical fiber-based sensing method for nanoparticle detection through supervised back-scattering analysis: a potential contributor for biomedicine

Authors
Paiva, JS; Jorge, PAS; Ribeiro, RSR; Sampaio, P; Rosa, CC; Cunha, JPS;

Publication
International Journal of Nanomedicine

Abstract

2019

Full-body motion assessment: Concurrent validation of two body tracking depth sensors versus a gold standard system during gait

Authors
Vilas Boas, MD; Pereira Choupina, HMP; Rocha, AP; Fernandes, JM; Silva Cunha, JPS;

Publication
Journal of Biomechanics

Abstract
RGB-D cameras provide 3-D body joint data in a low-cost, portable and non-intrusive way, when compared with reference motion capture systems used in laboratory settings. In this contribution, we evaluate the validity of both Microsoft Kinect versions (v1 and v2) for motion analysis against a Qualisys system in a simultaneous protocol. Two different walking directions in relation to the Kinect (towards – WT, and away – WA) were explored. For each gait trial, measures related with all body parts were computed: velocity of all joints, distance between symmetrical joints, and angle at some joints. For each measure, we compared each Kinect version and Qualisys by obtaining the mean true error and mean absolute error, Pearson's correlation coefficient, and optical-to-depth ratio. Although both Kinect v1 and v2 and/or WT and WA data present similar accuracy for some measures, better results were achieved, overall, when using WT data provided by the Kinect v2, especially for velocity measures. Moreover, the velocity and distance presented better results than angle measures. Our results show that both Kinect versions can be an alternative to more expensive systems such as Qualisys, for obtaining distance and velocity measures as well as some angles metrics (namely the knee angles). This conclusion is important towards the off-lab non-intrusive assessment of motor function in different areas, including sports and healthcare. © 2019 Elsevier Ltd

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