Running gait pattern recognition based on cross-correlation analysis of single acceleration sensor
As people pay more attention to physical fitness and health keeping, running becomes the first choice for daily sport. However, due to the lack of scientific management and guidance, unreasonable running sometimes has a negative impact on health. The foot strike pattern has a great impact on the kne...
Saved in:
| Published in | Mathematical biosciences and engineering : MBE Vol. 16; no. 6; pp. 6242 - 6256 |
|---|---|
| Main Authors | , |
| Format | Journal Article |
| Language | English |
| Published |
United States
AIMS Press
01.01.2019
|
| Subjects | |
| Online Access | Get full text |
| ISSN | 1551-0018 1547-1063 1551-0018 |
| DOI | 10.3934/mbe.2019311 |
Cover
| Abstract | As people pay more attention to physical fitness and health keeping, running becomes the first choice for daily sport. However, due to the lack of scientific management and guidance, unreasonable running sometimes has a negative impact on health. The foot strike pattern has a great impact on the knee joint of the runner during running. Therefore, it is important for runners to monitor and record their running gait, so as to customize more appropriate training programs. Through cross-correlation analysis on two axial signals of the acceleration sensor, two common running landing gait patterns, the forefoot strike pattern and the rearfoot strike pattern, can be identified and distinguished. Based on the theoretical analysis, two running gait pattern recognition experiments were designed and conducted. Experiment results reveal that the method proposed can effectively characterize the two running gait patterns and shows a good universality and generalization ability among different subjects. |
|---|---|
| AbstractList | As people pay more attention to physical fitness and health keeping, running becomes the first choice for daily sport. However, due to the lack of scientific management and guidance, unreasonable running sometimes has a negative impact on health. The foot strike pattern has a great impact on the knee joint of the runner during running. Therefore, it is important for runners to monitor and record their running gait, so as to customize more appropriate training programs. Through cross-correlation analysis on two axial signals of the acceleration sensor, two common running landing gait patterns, the forefoot strike pattern and the rearfoot strike pattern, can be identified and distinguished. Based on the theoretical analysis, two running gait pattern recognition experiments were designed and conducted. Experiment results reveal that the method proposed can effectively characterize the two running gait patterns and shows a good universality and generalization ability among different subjects. As people pay more attention to physical fitness and health keeping, running becomes the first choice for daily sport. However, due to the lack of scientific management and guidance, unreasonable running sometimes has a negative impact on health. The foot strike pattern has a great impact on the knee joint of the runner during running. Therefore, it is important for runners to monitor and record their running gait, so as to customize more appropriate training programs. Through cross-correlation analysis on two axial signals of the acceleration sensor, two common running landing gait patterns, the forefoot strike pattern and the rearfoot strike pattern, can be identified and distinguished. Based on the theoretical analysis, two running gait pattern recognition experiments were designed and conducted. Experiment results reveal that the method proposed can effectively characterize the two running gait patterns and shows a good universality and generalization ability among different subjects.As people pay more attention to physical fitness and health keeping, running becomes the first choice for daily sport. However, due to the lack of scientific management and guidance, unreasonable running sometimes has a negative impact on health. The foot strike pattern has a great impact on the knee joint of the runner during running. Therefore, it is important for runners to monitor and record their running gait, so as to customize more appropriate training programs. Through cross-correlation analysis on two axial signals of the acceleration sensor, two common running landing gait patterns, the forefoot strike pattern and the rearfoot strike pattern, can be identified and distinguished. Based on the theoretical analysis, two running gait pattern recognition experiments were designed and conducted. Experiment results reveal that the method proposed can effectively characterize the two running gait patterns and shows a good universality and generalization ability among different subjects. |
| Author | Mo, Lingfei Zeng, Lujie |
| Author_xml | – sequence: 1 givenname: Lingfei surname: Mo fullname: Mo, Lingfei – sequence: 2 givenname: Lujie surname: Zeng fullname: Zeng, Lujie |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/31698560$$D View this record in MEDLINE/PubMed |
| BookMark | eNqFkc9rFDEUgIO02B968i5zFOrUvEkmMzlKsVooFKT38CZ5s6RkkzWZQfa_d7qzFhHBU0Lely_w5YKdxBSJsXfAr4UW8tN2oOuGgxYAr9g5tC3UnEN_8sf-jF2U8sS5kELI1-xMgNJ9q_g5G77PMfq4qTbop2qH00Q5Vpls2kQ_-RSrAQu5atnYnEqpbcqZAh5GGDHsiy9VGquySAJVaC0Fyuu8UCwpv2GnI4ZCb4_rJXu8_fJ4862-f_h6d_P5vkapm6kGN2jZSSnAyR7HoYWOQ6fIArQgERAacBxBdg3aHtD1veaN7UYxWm1RXLK7VesSPpld9lvMe5PQm8NByhuDefI2kOkcoXBa6UGBVML1hLbrXauUloNyz66Pq2uOO9z_xBBehMDNc3WzVDfH6gv-YcV3Of2YqUxm68vSIWCkNBfTCBBCNULyBX1_ROdhS-5F-_tHFuBqBQ65M43_eRn-oq2fDvGnjD78884v0yKs4A |
| CitedBy_id | crossref_primary_10_3390_s23020745 crossref_primary_10_3934_mbe_2022055 crossref_primary_10_1016_j_jor_2024_10_013 crossref_primary_10_1016_j_gaitpost_2023_08_010 crossref_primary_10_3390_app13158684 crossref_primary_10_4085_1062_6050_0520_19 crossref_primary_10_3390_ijerph19031279 crossref_primary_10_1007_s40279_022_01760_6 crossref_primary_10_1093_gerona_glab151 crossref_primary_10_3390_bioengineering11101048 |
| ContentType | Journal Article |
| CorporateAuthor | The School of Instrument Science and Engineering, Southeast University, Nanjing, Jiangsu, China |
| CorporateAuthor_xml | – name: The School of Instrument Science and Engineering, Southeast University, Nanjing, Jiangsu, China |
| DBID | AAYXX CITATION NPM 7X8 ADTOC UNPAY DOA |
| DOI | 10.3934/mbe.2019311 |
| DatabaseName | CrossRef PubMed MEDLINE - Academic Unpaywall for CDI: Periodical Content Unpaywall DOAJ Directory of Open Access Journals |
| DatabaseTitle | CrossRef PubMed MEDLINE - Academic |
| DatabaseTitleList | PubMed MEDLINE - Academic |
| Database_xml | – sequence: 1 dbid: DOA name: DOAJ Directory of Open Access Journals url: https://www.doaj.org/ sourceTypes: Open Website – sequence: 2 dbid: NPM name: PubMed url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database – sequence: 3 dbid: UNPAY name: Unpaywall url: https://proxy.k.utb.cz/login?url=https://unpaywall.org/ sourceTypes: Open Access Repository |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Biology |
| EISSN | 1551-0018 |
| EndPage | 6256 |
| ExternalDocumentID | oai_doaj_org_article_7dea3d969b61463d8eac78d56694b6da 10.3934/mbe.2019311 31698560 10_3934_mbe_2019311 |
| Genre | Research Support, Non-U.S. Gov't Journal Article |
| GroupedDBID | --- 53G 5GY AAYXX AENEX ALMA_UNASSIGNED_HOLDINGS AMVHM CITATION EBD EBS EJD EMOBN F5P GROUPED_DOAJ IAO ITC J9A ML0 OK1 P2P RAN SV3 TUS NPM 7X8 ADTOC UNPAY |
| ID | FETCH-LOGICAL-a492t-1db9474431d48afb5170176ec11514a1a121d0a1472ac81ad88902c7f3fc9ca3 |
| IEDL.DBID | UNPAY |
| ISSN | 1551-0018 1547-1063 |
| IngestDate | Fri Oct 03 12:51:00 EDT 2025 Mon Sep 15 08:19:30 EDT 2025 Fri Jul 11 11:16:22 EDT 2025 Thu Jan 02 22:59:37 EST 2025 Tue Jul 01 02:58:28 EDT 2025 Thu Apr 24 23:12:03 EDT 2025 |
| IsDoiOpenAccess | true |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 6 |
| Keywords | wearable device acceleration sensor foot strike cross-correlation analysis gait analysis |
| Language | English |
| License | cc-by |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-a492t-1db9474431d48afb5170176ec11514a1a121d0a1472ac81ad88902c7f3fc9ca3 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
| OpenAccessLink | https://proxy.k.utb.cz/login?url=https://doi.org/10.3934/mbe.2019311 |
| PMID | 31698560 |
| PQID | 2313362340 |
| PQPubID | 23479 |
| PageCount | 15 |
| ParticipantIDs | doaj_primary_oai_doaj_org_article_7dea3d969b61463d8eac78d56694b6da unpaywall_primary_10_3934_mbe_2019311 proquest_miscellaneous_2313362340 pubmed_primary_31698560 crossref_primary_10_3934_mbe_2019311 crossref_citationtrail_10_3934_mbe_2019311 |
| ProviderPackageCode | CITATION AAYXX |
| PublicationCentury | 2000 |
| PublicationDate | 2019-01-01 |
| PublicationDateYYYYMMDD | 2019-01-01 |
| PublicationDate_xml | – month: 01 year: 2019 text: 2019-01-01 day: 01 |
| PublicationDecade | 2010 |
| PublicationPlace | United States |
| PublicationPlace_xml | – name: United States |
| PublicationTitle | Mathematical biosciences and engineering : MBE |
| PublicationTitleAlternate | Math Biosci Eng |
| PublicationYear | 2019 |
| Publisher | AIMS Press |
| Publisher_xml | – name: AIMS Press |
| References | 13 15 26 17 28 1 2 4 6 7 9 20 10 |
| References_xml | – ident: 17 article-title: A.R. Altman, I.S. Davis, Barefoot – ident: 26 article-title: C.J. Caspersen, K.E. Powell and G.M. Christenson, Physical activity, exercise, and physical – ident: 2 article-title: C. J. Caspersen, K. E. Powell and G. M. Christenson, Physical activity, exercise, and physical – ident: 28 article-title: Cross-correlation. Available – ident: 6 article-title: R. Van Gent, D. Siem, M. Van Middelkoop, et al., Incidence and determinants of lower extremity running injuries in long distance – ident: 13 article-title: L.C. Benson, C.A. Clermont, E. Bošnjak et al., The use of wearable devices for walking and running gait analysis outside of the – ident: 9 article-title: S.R. Simona, Quantification of human – ident: 15 article-title: S. Li, Y. Zhang, Y. Gu, et al., Stress distribution of metatarsals during forefoot strike versus rearfoot – ident: 10 article-title: S. Chen, J. Lach, B. Lo et al., Toward pervasive gait analysis with wearable – ident: 4 article-title: China Athletics Association, China Marathon Annual Report, Shanghai, 2017. Available – ident: 7 article-title: G. Analysis, Gait – ident: 20 article-title: A. Daoud, G.J. Geissler and F. Wang, Foot strike and injury rates in endurance – ident: 1 article-title: Health topics. Available |
| SSID | ssj0034334 |
| Score | 2.2025752 |
| Snippet | As people pay more attention to physical fitness and health keeping, running becomes the first choice for daily sport. However, due to the lack of scientific... |
| SourceID | doaj unpaywall proquest pubmed crossref |
| SourceType | Open Website Open Access Repository Aggregation Database Index Database Enrichment Source |
| StartPage | 6242 |
| SubjectTerms | acceleration sensor cross-correlation analysis foot strike gait analysis wearable device |
| SummonAdditionalLinks | – databaseName: DOAJ Directory of Open Access Journals dbid: DOA link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV3Pa90wDBajULYdRruf2dbiQXcZhMaxXhIf29FSBtthdNBbkGVnDN6SR_seo__95DgvdFC2y27BmERIivXJlj8BHHWhxEXBJveldzlazbnzOsQLzLZoPHI5VlV-_lJdfMNPV4urO62-Yk1YogdOijuufSDjbWWdBJLK-EZWirrxgkIsusqP0Kho7DaZSmuwQWMw3cYz1uDxTxcZMQWraP1H_Blp-u_Dlo_h4aZf0e0vWi7vxJvzPXgyAUV1kgTchwehfwq7qXXk7TNwXzdjsyH1nX6s1WpkyezVXA409CrGJ6_kYRQk59iGIxW-KZqYSNTQqbhXsAyKmCUAJXdQN5LbDtfP4fL87PLjRT71S8gJbbnOtXcWaxRI4LGhzi0i13pdBRbUp5E06VL7gjTWJXGjyTfxkJHrznRsmcwL2OmHPrwCRYUr2VTMhgk7JJJQ6oqFlxGuOhsy-LBVYssTl3hsabFsJaeIGm9F4-2k8QyO5smrRKFx_7TTaI15SuS9HgfEG9rJG9p_eUMG77a2bOU_iYcf1Idhc9MKjjUSrA0WGbxMRp4_ZXRlG4F-Gbyfrf43UV__D1HfwKP4urSd8xZ21tebcCAAZ-0OR1_-DaPw-yY priority: 102 providerName: Directory of Open Access Journals |
| Title | Running gait pattern recognition based on cross-correlation analysis of single acceleration sensor |
| URI | https://www.ncbi.nlm.nih.gov/pubmed/31698560 https://www.proquest.com/docview/2313362340 https://doi.org/10.3934/mbe.2019311 https://doaj.org/article/7dea3d969b61463d8eac78d56694b6da |
| UnpaywallVersion | publishedVersion |
| Volume | 16 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVAON databaseName: DOAJ Directory of Open Access Journals customDbUrl: eissn: 1551-0018 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0034334 issn: 1547-1063 databaseCode: DOA dateStart: 20190101 isFulltext: true titleUrlDefault: https://www.doaj.org/ providerName: Directory of Open Access Journals – providerCode: PRVEBS databaseName: Mathematics Source customDbUrl: eissn: 1551-0018 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0034334 issn: 1547-1063 databaseCode: AMVHM dateStart: 20120101 isFulltext: true titleUrlDefault: https://www.ebsco.com/products/research-databases/mathematics-source providerName: EBSCOhost |
| link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV3ba9YwFD-Mb4j64P1SLyPifBE6myZNm8d5GUNwiGwwn8rJpUP8bD-2Fpl_vSdpvzLHUN9KSGkuJ_39kpzzOwDbjc9lkVmRutyZVGpuU-O4DwHMOquctHn0qvx0oPaP5Mfj4ngDXq5jYS7c3wst5JsfJmhZEssI8bubqiDCvYDNo4PPu1-jEqos6UcS86UF7E9DjrkxCu_y23_gTpTnv4pT3oTrQ7vC85-4XF7Amb3b8H7dwtG95PvO0Jsd--uSeOM_unAHbk08k-2OhnEXNnx7D66NmSfP74P5MsRcRewEv_VsFUU2WzZ7E3UtC_DmGD3E_qQ2ZPEY_eYYTkImrGtYOGpYeobWEn6N1sTOaGvcnT6Aw70Ph-_20yndQopS533KndGylMQonKywMUWQai-Vt0QauUSOPOcuQy7LHG3F0VXhjtKWjWistigewqLtWv8YGGYmt0JZKyzKRiISEpuscFRiVaN9Aq_Xc1HbSYo8ZMRY1rQlCWNW05jV05glsD1XXo0KHFdXexsmda4SZLNjAU1FPa3CunQehdNKG2IlSriKYKesHFFaLY1ymMCLtUnUtMzC3Qm2vhvOaqLBgrBeyCyBR6OtzJ8SXOmKmGMCr2bj-VtTn_xnvadwIzyNBz7PYNGfDv45UaDebMWjg61pIfwGcKwClQ |
| linkProvider | Unpaywall |
| linkToUnpaywall | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV1Ja90wEB7CC6Xtofvibqg0vRScWpYsW8d0CaHQUEoC6cmMFpeSF_uR2JT013dk-Zk0hLY3I8ZYy8jfJ2n0DcBW43NZZFakLncmlZrb1DjuwwVmnVVO2nyMqvy8r_YO5aej4mgDXq3vwlw4vxdayLcnJmhZEssI93c3VUGEewGbh_tfdr6NSqiypB_JmC8tYH8acszFW3iX3_4Dd0Z5_qs45U24PrQrPP-Jy-UFnNm9DR_WNYzhJcfbQ2-27a9L4o3_aMIduDXxTLYTHeMubPj2HlyLmSfP74P5Ooy5ith3_NGz1Siy2bI5mqhrWYA3x-hhbE9qQxaPGDfHcBIyYV3DwlbD0jO0lvArehM7o6Vxd_oADnY_HrzfS6d0CylKnfcpd0bLUhKjcLLCxhRBqr1U3hJp5BI58py7DLksc7QVR1eFM0pbNqKx2qJ4CIu2a_1jYJiZ3AplrbAoG4lISGyywlGJVY32CbxZj0VtJynykBFjWdOSJPRZTX1WT32WwNZsvIoKHFebvQuDOpsE2eyxgIainmZhXTqPwmmlDbESJVxFsFNWjiitlkY5TODl2iVqmmbh7ARb3w1nNdFgQVgvZJbAo-gr86cEV7oi5pjA69l5_lbVJ_9p9xRuhKe44fMMFv3p4J8TBerNi2kK_AZm-QGg |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Running+gait+pattern+recognition+based+on+cross-correlation+analysis+of+single+acceleration+sensor&rft.jtitle=Mathematical+biosciences+and+engineering+%3A+MBE&rft.au=Mo%2C+Ling+Fei&rft.au=Zeng%2C+Lu+Jie&rft.date=2019-01-01&rft.eissn=1551-0018&rft.volume=16&rft.issue=6&rft.spage=6242&rft_id=info:doi/10.3934%2Fmbe.2019311&rft_id=info%3Apmid%2F31698560&rft.externalDocID=31698560 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1551-0018&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1551-0018&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1551-0018&client=summon |