Please use this identifier to cite or link to this item: https://rda.sliit.lk/handle/123456789/1459
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dc.contributor.authorAbhayasinghe, N-
dc.contributor.authorMurray, I-
dc.date.accessioned2022-03-03T09:37:12Z-
dc.date.available2022-03-03T09:37:12Z-
dc.date.issued2014-04-21-
dc.identifier.citationN. Abhayasinghe and I. Murray, "Human gait phase recognition based on thigh movement computed using IMUs," 2014 IEEE Ninth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP), 2014, pp. 1-4, doi: 10.1109/ISSNIP.2014.6827604.en_US
dc.identifier.isbn978-1-4799-2843-9-
dc.identifier.urihttp://rda.sliit.lk/handle/123456789/1459-
dc.description.abstract—Human gait analysis is a major topic in pedestrian navigation and geriatric care. Identifying gait phases is important in using human gait for pedestrian navigation and tracking. Most of existing gait phase identification techniques use multiple sensor modules attached to each section of the lower body. This paper discusses the feasibility of recognizing gait phases using a single inertial measurement unit (IMU) placed in a trouser pocket of the subject. The movement of the thigh is computed by fusing accelerometer and the gyroscopic data gathered from the of the IMU. Experimental results indicated that most of the major gait phases such as Initial Contact, Load Response, Mid Stance, Terminal Stance, Pre-Swing and Swing, can be identified by the movement of one thigh tracked by an IMU. It was also noted that the movement of the offside leg can also be estimated from the fused IMU data. This paper presents a method to recognize all major phases of human stride cycle during walking from movement of one thigh.en_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartofseries2014 IEEE Ninth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP);Pages 1-4-
dc.subjectHuman gait analysisen_US
dc.subjectinertial sensorsen_US
dc.subjectgait phase recognitionen_US
dc.titleHuman gait phase recognition based on thigh movement computed using IMUsen_US
dc.typeArticleen_US
dc.identifier.doi10.1109/ISSNIP.2014.6827604en_US
Appears in Collections:Research Papers
Research Papers - Department of Electrical and Electronic Engineering
Research Papers - SLIIT Staff Publications

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