A fusion framework to estimate plantar ground force distributions and ankle dynamics

Published on May 1, 2018in Information Fusion 6.64
· DOI :10.1016/j.inffus.2017.09.008
Fani Deligianni13
Estimated H-index: 13
(Imperial College London),
Charence Wong6
Estimated H-index: 6
(Imperial College London)
+ 1 AuthorsGuang-Zhong Yang55
Estimated H-index: 55
(Imperial College London)
Abstract
A two-step approach for modelling spatio-temporal GRFs distributions and foot angle.Fusion of e-AR signal and video to model the foot angle during key gait events.Invariant features of angular information from video recordings improve performance. Gait analysis plays an important role in several conditions, including the rehabilitation of patients with orthopaedic problems and the monitoring of neurological conditions, mental health problems and the well-being of elderly subjects. It also constitutes an index of good posture and thus it can be used to prevent injuries in athletes and monitor mental health in typical subjects. Usually, accurate gait analysis is based on the measurement of ankle dynamics and ground reaction forces. Therefore, it requires expensive multi-camera systems and pressure sensors, which cannot be easily employed in a free-living environment. We propose a fusion framework that uses an ear worn activity recognition (e-AR) sensor and a single video camera to estimate foot angle during key gait events. To this end we use canonical correlation analysis with a fused-lasso penalty in a two-steps approach that firstly learns a model of the timing distribution of ground reaction forces based on e-AR signal only and subsequently models the eversion/inversion as well as the dorsiflexion of the ankle based on the combined features of e-AR sensor and the video. The results show that incorporating invariant features of angular ankle information from the video recordings improves the estimation of the foot progression angle, substantially.
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References39
Published on Oct 7, 2012 in European Conference on Computer Vision
João F. Henriques14
Estimated H-index: 14
(University of Coimbra),
Rui Caseiro12
Estimated H-index: 12
(University of Coimbra)
+ 1 AuthorsJorge Batista19
Estimated H-index: 19
(University of Coimbra)
Recent years have seen greater interest in the use of discriminative classifiers in tracking systems, owing to their success in object detection. They are trained online with samples collected during tracking. Unfortunately, the potentially large number of samples becomes a computational burden, which directly conflicts with real-time requirements. On the other hand, limiting the samples may sacrifice performance. Interestingly, we observed that, as we add more and more samples, the problem acqu...
717 Citations Source Cite
Published on Feb 1, 2016in Pattern Recognition 3.96
Xianglei Xing4
Estimated H-index: 4
(Harbin Engineering University),
Kejun Wang4
Estimated H-index: 4
(Harbin Engineering University)
+ 1 AuthorsZhuowen Lv3
Estimated H-index: 3
(Harbin Engineering University)
Canonical correlation analysis (CCA) is a well-known multivariate analysis method for quantifying the correlations between two sets of multidimensional variables. However, for multi-view gait recognition, it is difficult to directly apply CCA to deal with two sets of high-dimensional vectors because of computational complexity. Moreover, in such situation, the eigenmatrix of CCA is usually singular which makes the direct implementation of the CCA algorithm almost impossible. In practice, PCA or ...
38 Citations Source Cite
Published on Sep 2, 2015in Sensors 2.48
Sebastijan Sprager8
Estimated H-index: 8
(University of Ljubljana),
Matjaz B. Juric16
Estimated H-index: 16
(University of Ljubljana)
With the recent development of microelectromechanical systems (MEMS), inertial sensors have become widely used in the research of wearable gait analysis due to several factors, such as being easy-to-use and low-cost. Considering the fact that each individual has a unique way of walking, inertial sensors can be applied to the problem of gait recognition where assessed gait can be interpreted as a biometric trait. Thus, inertial sensor-based gait recognition has a great potential to play an import...
64 Citations Source Cite
Published on Jan 1, 2015in IEEE Sensors Journal 2.62
Charence Wong6
Estimated H-index: 6
(Imperial College London),
Zhiqiang Zhang13
Estimated H-index: 13
(Imperial College London)
+ 1 AuthorsGuang-Zhong Yang55
Estimated H-index: 55
(Imperial College London)
Understanding the solid biomechanics of the human body is important to the study of structure and function of the body, which can have a range of applications in health care, sport, well-being, and workflow analysis. Conventional laboratory-based biomechanical analysis systems and observation-based tests are designed only to capture brief snapshots of the mechanics of movement. With recent developments in wearable sensing technologies, biomechanical analysis can be conducted in less-constrained ...
27 Citations Source Cite
Published on Aug 1, 2015in Scientific Reports 4.12
Nooshin Omranian7
Estimated H-index: 7
(Max Planck Society),
Bernd Mueller-Roeber55
Estimated H-index: 55
(Max Planck Society),
Zoran Nikoloski30
Estimated H-index: 30
(Max Planck Society)
Time-series data from multicomponent systems capture the dynamics of the ongoing processes and reflect the interactions between the components. The progression of processes in such systems usually involves check-points and events at which the relationships between the components are altered in response to stimuli. Detecting these events together with the implicated components can help understand the temporal aspects of complex biological systems. Here we propose a regularized regression-based ap...
9 Citations Source Cite
Published on Feb 19, 2014in Sensors 2.48
Alvaro Muro-de-la-Herran1
Estimated H-index: 1
,
Begoña García Zapirain12
Estimated H-index: 12
,
Amaia Mendez-Zorrilla6
Estimated H-index: 6
This article presents a review of the methods used in recognition and analysis of the human gait from three different approaches: image processing, floor sensors and sensors placed on the body. Progress in new technologies has led the development of a series of devices and techniques which allow for objective evaluation, making measurements more efficient and effective and providing specialists with reliable information. Firstly, an introduction of the key gait parameters and semi-subjective met...
226 Citations Source Cite
Published on Sep 1, 2014in Medical Engineering & Physics 1.92
Martin Sandau2
Estimated H-index: 2
(University of Copenhagen),
Henrik Koblauch5
Estimated H-index: 5
(University of Copenhagen)
+ 3 AuthorsErik B. Simonsen33
Estimated H-index: 33
(University of Copenhagen)
Abstract Estimating 3D joint rotations in the lower extremities accurately and reliably remains unresolved in markerless motion capture, despite extensive studies in the past decades. The main problems have been ascribed to the limited accuracy of the 3D reconstructions. Accordingly, the purpose of the present study was to develop a new approach based on highly detailed 3D reconstructions in combination with a translational and rotational unconstrained articulated model. The highly detailed 3D r...
23 Citations Source Cite
Daniela Witten30
Estimated H-index: 30
(Stanford University),
Robert Tibshirani118
Estimated H-index: 118
(Stanford University)
In recent work, several authors have introduced methods for sparse canonical correlation analysis (sparse CCA). Suppose that two sets of measurements are available on the same set of observations. Sparse CCA is a method for identifying sparse linear combinations of the two sets of variables that are highly correlated with each other. It has been shown to be useful in the analysis of high-dimensional genomic data, when two sets of assays are available on the same set of samples. In this paper, we...
182 Citations Source Cite
Published on Feb 7, 2012in Sensors 2.48
Young Soo Suh16
Estimated H-index: 16
In this paper, a gait analysis system which estimates step length and foot angles is proposed. A measurement unit, which consists of a camera and inertial sensors, is installed on a shoe. When the foot touches the floor, markers are recognized by the camera to obtain the current position and attitude. A simple planar marker with 4,096 different codes is used. These markers printed on paper are placed on the floor. When the foot is moving off the floor, the position and attitude are estimated usi...
23 Citations Source Cite
Published on Jan 1, 2013in IEEE Transactions on Human-Machine Systems 2.56
Giancarlo Fortino31
Estimated H-index: 31
(University of Calabria),
Roberta Giannantonio11
Estimated H-index: 11
(Telecom Italia)
+ 2 AuthorsRoozbeh Jafari29
Estimated H-index: 29
(University of Texas at Dallas)
Wireless body sensor networks (BSNs) possess enormous potential for changing people's daily lives. They can enhance many human-centered application domains such as m-Health, sport and wellness, and human-centered applications that involve physical/virtual social interactions. However, there are still challenging issues that limit their wide diffusion in real life: primarily, the programming complexity of these systems, due to the lack of high-level software abstractions, and the hardware constra...
211 Citations Source Cite
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