Human Gait Phase Recognition Based on Thigh Movement Computed using IMUs
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 b...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Conference Paper |
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N/A
2014
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| Online Access: | http://hdl.handle.net/20.500.11937/21533 |
| _version_ | 1848750616277417984 |
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| author | Abhayasinghe, Nimsiri Murray, Iain |
| author2 | N/A |
| author_facet | N/A Abhayasinghe, Nimsiri Murray, Iain |
| author_sort | Abhayasinghe, Nimsiri |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | 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 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. |
| first_indexed | 2025-11-14T07:39:40Z |
| format | Conference Paper |
| id | curtin-20.500.11937-21533 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T07:39:40Z |
| publishDate | 2014 |
| publisher | N/A |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-215332017-09-13T13:55:43Z Human Gait Phase Recognition Based on Thigh Movement Computed using IMUs Abhayasinghe, Nimsiri Murray, Iain N/A 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 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. 2014 Conference Paper http://hdl.handle.net/20.500.11937/21533 10.1109/ISSNIP.2014.6827604 N/A fulltext |
| spellingShingle | Abhayasinghe, Nimsiri Murray, Iain Human Gait Phase Recognition Based on Thigh Movement Computed using IMUs |
| title | Human Gait Phase Recognition Based on Thigh Movement Computed using IMUs |
| title_full | Human Gait Phase Recognition Based on Thigh Movement Computed using IMUs |
| title_fullStr | Human Gait Phase Recognition Based on Thigh Movement Computed using IMUs |
| title_full_unstemmed | Human Gait Phase Recognition Based on Thigh Movement Computed using IMUs |
| title_short | Human Gait Phase Recognition Based on Thigh Movement Computed using IMUs |
| title_sort | human gait phase recognition based on thigh movement computed using imus |
| url | http://hdl.handle.net/20.500.11937/21533 |