Fuzzy-logic-based hybrid locomotion mode classification for an active pelvis orthosis: Preliminary results

Kebin Yuan; Andrea Parri; Tingfang Yan; Long Wang; Marko Munih; Nicola Vitiello; Qining Wang

doi:10.1109/EMBC.2015.7319244

Fuzzy-logic-based hybrid locomotion mode classification for an active pelvis orthosis: Preliminary results

Kebin Yuan, Andrea Parri, Tingfang Yan, Long Wang, Marko Munih, Nicola Vitiello, Qining Wang

Fondazione Don Carlo Gnocchi Onlus

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

In this paper, we present a fuzzy-logic-based hybrid locomotion mode classification method for an active pelvis orthosis. Locomotion information measured by the onboard hip joint angle sensors and the pressure insoles is used to classify five locomotion modes, including two static modes (sitting, standing still), and three dynamic modes (level-ground walking, ascending stairs, and descending stairs). The proposed method classifies these two kinds of modes first by monitoring the variation of the relative hip joint angle between the two legs within a specific period. Static states are then classified by the time-based absolute hip joint angle. As for dynamic modes, a fuzzy-logic based method is proposed for the classification. Preliminary experimental results with three able-bodied subjects achieve an off-line classification accuracy higher than 99.49%.

Original language	English
Title of host publication	Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	3893-3896
Number of pages	4
Volume	2015-November
ISBN (Print)	9781424492718
DOIs	https://doi.org/10.1109/EMBC.2015.7319244
Publication status	Published - Nov 4 2015
Event	37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015 - Milan, Italy Duration: Aug 25 2015 → Aug 29 2015

Other

Other	37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015
Country/Territory	Italy
City	Milan
Period	8/25/15 → 8/29/15

ASJC Scopus subject areas

Computer Vision and Pattern Recognition
Signal Processing
Biomedical Engineering
Health Informatics

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10.1109/EMBC.2015.7319244

Cite this

Yuan, K., Parri, A., Yan, T., Wang, L., Munih, M., Vitiello, N., & Wang, Q. (2015). Fuzzy-logic-based hybrid locomotion mode classification for an active pelvis orthosis: Preliminary results. In Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS (Vol. 2015-November, pp. 3893-3896). [7319244] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EMBC.2015.7319244

Fuzzy-logic-based hybrid locomotion mode classification for an active pelvis orthosis : Preliminary results. / Yuan, Kebin; Parri, Andrea; Yan, Tingfang; Wang, Long; Munih, Marko; Vitiello, Nicola; Wang, Qining.

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS. Vol. 2015-November Institute of Electrical and Electronics Engineers Inc., 2015. p. 3893-3896 7319244.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Yuan, K, Parri, A, Yan, T, Wang, L, Munih, M, Vitiello, N & Wang, Q 2015, Fuzzy-logic-based hybrid locomotion mode classification for an active pelvis orthosis: Preliminary results. in Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS. vol. 2015-November, 7319244, Institute of Electrical and Electronics Engineers Inc., pp. 3893-3896, 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015, Milan, Italy, 8/25/15. https://doi.org/10.1109/EMBC.2015.7319244

Yuan K, Parri A, Yan T, Wang L, Munih M, Vitiello N et al. Fuzzy-logic-based hybrid locomotion mode classification for an active pelvis orthosis: Preliminary results. In Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS. Vol. 2015-November. Institute of Electrical and Electronics Engineers Inc. 2015. p. 3893-3896. 7319244 https://doi.org/10.1109/EMBC.2015.7319244

Yuan, Kebin ; Parri, Andrea ; Yan, Tingfang ; Wang, Long ; Munih, Marko ; Vitiello, Nicola ; Wang, Qining. / Fuzzy-logic-based hybrid locomotion mode classification for an active pelvis orthosis : Preliminary results. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS. Vol. 2015-November Institute of Electrical and Electronics Engineers Inc., 2015. pp. 3893-3896

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abstract = "In this paper, we present a fuzzy-logic-based hybrid locomotion mode classification method for an active pelvis orthosis. Locomotion information measured by the onboard hip joint angle sensors and the pressure insoles is used to classify five locomotion modes, including two static modes (sitting, standing still), and three dynamic modes (level-ground walking, ascending stairs, and descending stairs). The proposed method classifies these two kinds of modes first by monitoring the variation of the relative hip joint angle between the two legs within a specific period. Static states are then classified by the time-based absolute hip joint angle. As for dynamic modes, a fuzzy-logic based method is proposed for the classification. Preliminary experimental results with three able-bodied subjects achieve an off-line classification accuracy higher than 99.49%.",

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Fuzzy-logic-based hybrid locomotion mode classification for an active pelvis orthosis: Preliminary results

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