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Detecting heel strikes for gait analysis through acceleration flow

Detecting heel strikes for gait analysis through acceleration flow
Detecting heel strikes for gait analysis through acceleration flow
In some forms of gait analysis it is important to be able to capture when the heel strikes occur. In addition, in terms of video analysis of gait, it is important to be able to localise the heel where it strikes on the floor. In this paper, a new motion descriptor, acceleration flow, is introduced for detecting heel strikes. The key frame of heel strike can be determined by the quantity of acceleration flow within the Region of Interest (ROI), and positions of the strike can be found from the centre of rotation caused by radial acceleration. Our approach has been tested on a number of databases which were recorded indoors and outdoors with multiple views and walking directions for evaluating the detection rate under various environments. Experiments show the ability of our approach for both temporal detection and spatial positioning. The immunity of this new approach to three anticipated types of noises in real CCTV footage is also evaluated in our experiments. Our acceleration flow detector is shown to be less sensitive to Gaussian white noise, whilst being effective with images of low-resolution and without incomplete body position information when compared to other techniques.
Optical flow, Acceleration , Gait, Heel strike
1751-9640
686-692
Sun, Yan
15039395-4052-4cb3-b2a8-1c7b08eff821
Hare, Jonathon
65ba2cda-eaaf-4767-a325-cd845504e5a9
Nixon, Mark
2b5b9804-5a81-462a-82e6-92ee5fa74e12
Sun, Yan
15039395-4052-4cb3-b2a8-1c7b08eff821
Hare, Jonathon
65ba2cda-eaaf-4767-a325-cd845504e5a9
Nixon, Mark
2b5b9804-5a81-462a-82e6-92ee5fa74e12

Sun, Yan, Hare, Jonathon and Nixon, Mark (2018) Detecting heel strikes for gait analysis through acceleration flow. IET Computer Vision, 12 (5), 686-692. (doi:10.1049/iet-cvi.2017.0429).

Record type: Article

Abstract

In some forms of gait analysis it is important to be able to capture when the heel strikes occur. In addition, in terms of video analysis of gait, it is important to be able to localise the heel where it strikes on the floor. In this paper, a new motion descriptor, acceleration flow, is introduced for detecting heel strikes. The key frame of heel strike can be determined by the quantity of acceleration flow within the Region of Interest (ROI), and positions of the strike can be found from the centre of rotation caused by radial acceleration. Our approach has been tested on a number of databases which were recorded indoors and outdoors with multiple views and walking directions for evaluating the detection rate under various environments. Experiments show the ability of our approach for both temporal detection and spatial positioning. The immunity of this new approach to three anticipated types of noises in real CCTV footage is also evaluated in our experiments. Our acceleration flow detector is shown to be less sensitive to Gaussian white noise, whilst being effective with images of low-resolution and without incomplete body position information when compared to other techniques.

Text YSun_JHare_MNixon_Detecting_Heel_Strikes_for_Gait_Analysis_through_Acceleration_Flow - Accepted Manuscript
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More information

Accepted/In Press date: 5 March 2018
e-pub ahead of print date: 7 March 2018
Published date: 26 July 2018
Keywords: Optical flow, Acceleration , Gait, Heel strike

Identifiers

Local EPrints ID: 418867
URI: https://eprints.soton.ac.uk/id/eprint/418867
ISSN: 1751-9640
PURE UUID: 535e8a42-5943-402f-84e1-64d3d4490482
ORCID for Jonathon Hare: ORCID iD orcid.org/0000-0003-2921-4283
ORCID for Mark Nixon: ORCID iD orcid.org/0000-0002-9174-5934

Catalogue record

Date deposited: 23 Mar 2018 17:30
Last modified: 01 Aug 2018 00:36

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