Improved method of step length estimation based on inverted pendulum model
Step length estimation is an important issue in areas such as gait analysis, sport training, or pedestrian localization. In this article, we estimate the step length of walking using a waist-worn wearable computer named eButton. Motion sensors within this device are used to record body movement from...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2017-04-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1177/1550147717702914 |
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| _version_ | 1832547229266608128 |
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| author | Qi Zhao Boxue Zhang Jingjing Wang Wenquan Feng Wenyan Jia Mingui Sun |
| author_facet | Qi Zhao Boxue Zhang Jingjing Wang Wenquan Feng Wenyan Jia Mingui Sun |
| author_sort | Qi Zhao |
| collection | DOAJ |
| description | Step length estimation is an important issue in areas such as gait analysis, sport training, or pedestrian localization. In this article, we estimate the step length of walking using a waist-worn wearable computer named eButton. Motion sensors within this device are used to record body movement from the trunk instead of extremities. Two signal-processing techniques are applied to our algorithm design. The direction cosine matrix transforms vertical acceleration from the device coordinates to the topocentric coordinates. The empirical mode decomposition is used to remove the zero- and first-order skew effects resulting from an integration process. Our experimental results show that our algorithm performs well in step length estimation. The effectiveness of the direction cosine matrix algorithm is improved from 1.69% to 3.56% while the walking speed increased. |
| format | Article |
| id | doaj-art-6e26830180d649a28b5170ba95108ff5 |
| institution | Kabale University |
| issn | 1550-1477 |
| language | English |
| publishDate | 2017-04-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj-art-6e26830180d649a28b5170ba95108ff52025-02-03T06:45:36ZengWileyInternational Journal of Distributed Sensor Networks1550-14772017-04-011310.1177/1550147717702914Improved method of step length estimation based on inverted pendulum modelQi Zhao0Boxue Zhang1Jingjing Wang2Wenquan Feng3Wenyan Jia4Mingui Sun5School of Electronic and Information Engineering, Beihang University, Beijing, ChinaSchool of Electronic and Information Engineering, Beihang University, Beijing, ChinaSchool of Electronic and Information Engineering, Beihang University, Beijing, ChinaSchool of Electronic and Information Engineering, Beihang University, Beijing, ChinaDepartment of Neurosurgery, University of Pittsburgh, Pittsburgh, PA, USADepartment of Electrical and Computer Engineering, University of Pittsburgh, Pittsburgh, PA, USAStep length estimation is an important issue in areas such as gait analysis, sport training, or pedestrian localization. In this article, we estimate the step length of walking using a waist-worn wearable computer named eButton. Motion sensors within this device are used to record body movement from the trunk instead of extremities. Two signal-processing techniques are applied to our algorithm design. The direction cosine matrix transforms vertical acceleration from the device coordinates to the topocentric coordinates. The empirical mode decomposition is used to remove the zero- and first-order skew effects resulting from an integration process. Our experimental results show that our algorithm performs well in step length estimation. The effectiveness of the direction cosine matrix algorithm is improved from 1.69% to 3.56% while the walking speed increased.https://doi.org/10.1177/1550147717702914 |
| spellingShingle | Qi Zhao Boxue Zhang Jingjing Wang Wenquan Feng Wenyan Jia Mingui Sun Improved method of step length estimation based on inverted pendulum model International Journal of Distributed Sensor Networks |
| title | Improved method of step length estimation based on inverted pendulum model |
| title_full | Improved method of step length estimation based on inverted pendulum model |
| title_fullStr | Improved method of step length estimation based on inverted pendulum model |
| title_full_unstemmed | Improved method of step length estimation based on inverted pendulum model |
| title_short | Improved method of step length estimation based on inverted pendulum model |
| title_sort | improved method of step length estimation based on inverted pendulum model |
| url | https://doi.org/10.1177/1550147717702914 |
| work_keys_str_mv | AT qizhao improvedmethodofsteplengthestimationbasedoninvertedpendulummodel AT boxuezhang improvedmethodofsteplengthestimationbasedoninvertedpendulummodel AT jingjingwang improvedmethodofsteplengthestimationbasedoninvertedpendulummodel AT wenquanfeng improvedmethodofsteplengthestimationbasedoninvertedpendulummodel AT wenyanjia improvedmethodofsteplengthestimationbasedoninvertedpendulummodel AT minguisun improvedmethodofsteplengthestimationbasedoninvertedpendulummodel |