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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 Deligianni14
Estimated H-index: 14
(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
Newest
Published on Oct 18, 2017in PLOS ONE 2.77
Caspar A. Hallmann7
Estimated H-index: 7
(Radboud University Nijmegen),
Martin Sorg1
Estimated H-index: 1
+ 9 AuthorsThomas Hörren1
Estimated H-index: 1
Global declines in insects have sparked wide interest among scientists, politicians, and the general public. Loss of insect diversity and abundance is expected to provoke cascading effects on food webs and to jeopardize ecosystem services. Our understanding of the extent and underlying causes of this decline is based on the abundance of single species or taxonomic groups only, rather than changes in insect biomass which is more relevant for ecological functioning. Here, we used a standardized pr...
234 Citations Source Cite
Published on May 1, 2017in Information Fusion 6.64
Raffaele Gravina17
Estimated H-index: 17
(University of Calabria),
Parastoo Alinia4
Estimated H-index: 4
(Washington State University)
+ 1 AuthorsGiancarlo Fortino31
Estimated H-index: 31
(University of Calabria)
Abstract Body Sensor Networks (BSNs) have emerged as a revolutionary technology in many application domains in health-care, fitness, smart cities, and many other compelling Internet of Things (IoT) applications. Most commercially available systems assume that a single device monitors a plethora of user information. In reality, BSN technology is transitioning to multi-device synchronous measurement environments; fusion of the data from multiple, potentially heterogeneous, sensor sources is theref...
142 Citations Source Cite
Published on Apr 14, 2017in PLOS ONE 2.77
Björn Müller2
Estimated H-index: 2
,
Winfried Ilg15
Estimated H-index: 15
+ 1 AuthorsNicolas Ludolph3
Estimated H-index: 3
21 Citations Source Cite
Published on Jan 15, 2017in The Journal of Experimental Biology 3.18
Kenneth P. Clark4
Estimated H-index: 4
(Southern Methodist University),
Laurence J. Ryan3
Estimated H-index: 3
(Southern Methodist University),
Peter G. Weyand23
Estimated H-index: 23
(Southern Methodist University)
ABSTRACT The relationship between gait mechanics and running ground reaction forces is widely regarded as complex. This viewpoint has evolved primarily via efforts to explain the rising edge of vertical force–time waveforms observed during slow human running. Existing theoretical models do provide good rising-edge fits, but require more than a dozen input variables to sum the force contributions of four or more vague components of the body9s total mass ( m b ). Here, we hypothesized that the for...
18 Citations Source Cite
Published on Oct 1, 2016in Journal of Biomedical Informatics 2.88
Mario Nieto-Hidalgo5
Estimated H-index: 5
(University of Alicante),
Francisco Javier Ferrndez-Pastor1
Estimated H-index: 1
(University of Alicante)
+ 2 AuthorsJuan Manuel Garca-Chamizo1
Estimated H-index: 1
(University of Alicante)
Display Omitted A method for gait parameters extraction and abnormal gait detection from video.It only requires RGB side view gait video sequences to obtain gait parameters.Approximation of skeleton joints extraction.Classification results show that the proposed method has great potential. Human gait is mainly related to the foot and leg movements but, obviously, the entire motor system of the human body is involved. We hypothesise that movement parameters such as dynamic balance, movement harmo...
12 Citations Source Cite
Published on Oct 1, 2016in Foot & Ankle International 2.65
Dustin A. Bruening9
Estimated H-index: 9
(Brigham Young University),
Timothy Cooney10
Estimated H-index: 10
(UPMC Hamot)
+ 3 AuthorsStephanie M. Galey3
Estimated H-index: 3
(Shriners Hospitals for Children)
Background:Foot and ankle movement alterations following ankle arthrodesis are still not well understood, particularly those that might contribute to the documented increase in adjacent joint arthritis. Generalized tarsal hypermobility has long been postulated, but not confirmed in gait or functional movements. The purpose of this study was to more thoroughly evaluate compensation mechanisms used by arthrodesis patients during level and uphill gait through a variety of measurement modalities and...
6 Citations Source Cite
Koren E. Roach3
Estimated H-index: 3
(University of Utah),
Bibo Wang5
Estimated H-index: 5
(University of Utah)
+ 4 AuthorsAndrew E. Anderson24
Estimated H-index: 24
6 Citations Source Cite
Minxiang Ye3
Estimated H-index: 3
(University of Strathclyde),
Cheng Yang6
Estimated H-index: 6
(University of Strathclyde)
+ 2 AuthorsAndrew Kerr11
Estimated H-index: 11
(University of Strathclyde)
With increasing importance given to tele-rehabilitation, there is a growing need for accurate, low-cost, and portable motion capture systems that do not require specialist assessment venues. This paper proposes a novel framework for motion capture using only a single depth camera, which is portable and cost effective compared to most industry-standard optical systems, without compromising on accuracy. Novel signal processing and computer vision algorithms are proposed to determine motion pattern...
11 Citations Source Cite
Delaram Jarchi8
Estimated H-index: 8
(Imperial College London),
Benny Lo23
Estimated H-index: 23
(Imperial College London)
+ 3 AuthorsGuang-Zhong Yang55
Estimated H-index: 55
(Imperial College London)
Objective assessment of detailed gait patterns after orthopaedic surgery is important for post-surgical follow-up and rehabilitation. The purpose of this paper is to assess the use of a single ear-worn sensor for clinical gait analysis. A reliability measure is devised for indicating the confidence level of the estimated gait events, allowing it to be used in free-walking environments and for facilitating clinical assessment of orthopaedic patients after surgery. Patient groups prior to or follo...
4 Citations Source Cite
Published on Aug 1, 2016in Journal of Biomedical Informatics 2.88
Iván González4
Estimated H-index: 4
(University of Castilla–La Mancha),
Irvin Hussein López-Nava4
Estimated H-index: 4
+ 3 AuthorsIvett Quiñones-Uriostegui3
Estimated H-index: 3
Display Omitted Two low-cost systems for quantitative gait analysis are presented and compared.The wearable inertial system relies on two acceleration sensors mounted on the ankles.The vision system estimates gait events through 3D point-cloud processing.Inter-group and intra-group analyses are provided over the two groups of adults.Absolute/relative errors from gait parameters regarding the GAITRite are provided. Quantitative gait analysis allows clinicians to assess the inherent gait variabili...
9 Citations Source Cite
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Published on Mar 1, 2018
Xiao Gu1
Estimated H-index: 1
(Fudan University),
Fani Deligianni14
Estimated H-index: 14
(Imperial College London)
+ 2 AuthorsGuang-Zhong Yang55
Estimated H-index: 55
(Imperial College London)
Gait analysis is an important tool for monitoring and preventing injuries as well as to quantify functional decline in neurological diseases and elderly people. In most cases, it is more meaningful to monitor patients in natural living environments with low-end equipment such as cameras and wearable sensors. However, inertial sensors cannot provide enough details on angular dynamics. This paper presents a method that uses a single RGB camera to track the 2D joint coordinates with state-of-the-ar...
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