Using close range photogrammetric method to estimate kinetic variables in olympic-style weightlifting
Olympic-style weightlifting, or weightlifting, is an athletic discipline that has as a goal lift the heaviest amount of weight attached a weight set. Weightlifting complements other athletic disciplines to increase power and improve performance. Weight training exercises are also an important part o...
- Autores:
- Tipo de recurso:
- Fecha de publicación:
- 2014
- Institución:
- Universidad Tecnológica de Bolívar
- Repositorio:
- Repositorio Institucional UTB
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.utb.edu.co:20.500.12585/9043
- Acceso en línea:
- https://hdl.handle.net/20.500.12585/9043
- Palabra clave:
- Computer vision
Kinematics
Open systems
Tracking (position)
Video cameras
Close-range photogrammetric
Improve performance
Indirect methods
Kinematic parameters
Kinematic variables
Kinetic variables
Physical rehabilitation
Points of interest
Photogrammetry
- Rights
- restrictedAccess
- License
- http://creativecommons.org/licenses/by-nc-nd/4.0/
| id |
UTB2_9dc3ebb0ae67c6dc37057d38209b4910 |
|---|---|
| oai_identifier_str |
oai:repositorio.utb.edu.co:20.500.12585/9043 |
| network_acronym_str |
UTB2 |
| network_name_str |
Repositorio Institucional UTB |
| repository_id_str |
|
| dc.title.none.fl_str_mv |
Using close range photogrammetric method to estimate kinetic variables in olympic-style weightlifting |
| title |
Using close range photogrammetric method to estimate kinetic variables in olympic-style weightlifting |
| spellingShingle |
Using close range photogrammetric method to estimate kinetic variables in olympic-style weightlifting Computer vision Kinematics Open systems Tracking (position) Video cameras Close-range photogrammetric Improve performance Indirect methods Kinematic parameters Kinematic variables Kinetic variables Physical rehabilitation Points of interest Photogrammetry |
| title_short |
Using close range photogrammetric method to estimate kinetic variables in olympic-style weightlifting |
| title_full |
Using close range photogrammetric method to estimate kinetic variables in olympic-style weightlifting |
| title_fullStr |
Using close range photogrammetric method to estimate kinetic variables in olympic-style weightlifting |
| title_full_unstemmed |
Using close range photogrammetric method to estimate kinetic variables in olympic-style weightlifting |
| title_sort |
Using close range photogrammetric method to estimate kinetic variables in olympic-style weightlifting |
| dc.contributor.editor.none.fl_str_mv |
Marrugo Hernández, Andrés Guillermo |
| dc.subject.keywords.none.fl_str_mv |
Computer vision Kinematics Open systems Tracking (position) Video cameras Close-range photogrammetric Improve performance Indirect methods Kinematic parameters Kinematic variables Kinetic variables Physical rehabilitation Points of interest Photogrammetry |
| topic |
Computer vision Kinematics Open systems Tracking (position) Video cameras Close-range photogrammetric Improve performance Indirect methods Kinematic parameters Kinematic variables Kinetic variables Physical rehabilitation Points of interest Photogrammetry |
| description |
Olympic-style weightlifting, or weightlifting, is an athletic discipline that has as a goal lift the heaviest amount of weight attached a weight set. Weightlifting complements other athletic disciplines to increase power and improve performance. Weight training exercises are also an important part of physical rehabilitation from muscle, joint, tendons, and ligaments injuries. To determinate its efficiency, optimize it, prevent lesions, or help in the rehab process indirect and direct methods are commonly used. Direct methods use data from muscular signals to estimate force, torque, and kinematic variables whereas indirect methods like as close range photogrammetric get data directly from a video camera. In this paper, we present a non-invasive system to recover the positions and motion pathways of weight set during lifting moment. Active and passive tracking marks are used to leverage the detection of points of interest. Kinematic parameters were collected and analyzed using moving pictures analysis system implemented in Processing and using OpenCV (Open Source Computer Vision) framework. The preliminary results indicate that our close range photogrammetric method is able to measure kinematic variable in weightlifting during physical or rehab training as well as during competition. Our experiment shows the error in the position measure is less than 2.24% in average. © 2014 IEEE. |
| publishDate |
2014 |
| dc.date.issued.none.fl_str_mv |
2014 |
| dc.date.accessioned.none.fl_str_mv |
2020-03-26T16:32:50Z |
| dc.date.available.none.fl_str_mv |
2020-03-26T16:32:50Z |
| dc.type.coarversion.fl_str_mv |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
| dc.type.coar.fl_str_mv |
http://purl.org/coar/resource_type/c_c94f |
| dc.type.driver.none.fl_str_mv |
info:eu-repo/semantics/conferenceObject |
| dc.type.hasversion.none.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
| dc.type.spa.none.fl_str_mv |
Conferencia |
| status_str |
publishedVersion |
| dc.identifier.citation.none.fl_str_mv |
2014 3rd International Congress of Engineering Mechatronics and Automation, CIIMA 2014 - Conference Proceedings |
| dc.identifier.isbn.none.fl_str_mv |
9781479979325 |
| dc.identifier.uri.none.fl_str_mv |
https://hdl.handle.net/20.500.12585/9043 |
| dc.identifier.doi.none.fl_str_mv |
10.1109/CIIMA.2014.6983439 |
| dc.identifier.instname.none.fl_str_mv |
Universidad Tecnológica de Bolívar |
| dc.identifier.reponame.none.fl_str_mv |
Repositorio UTB |
| dc.identifier.orcid.none.fl_str_mv |
56682785300 26325154200 |
| identifier_str_mv |
2014 3rd International Congress of Engineering Mechatronics and Automation, CIIMA 2014 - Conference Proceedings 9781479979325 10.1109/CIIMA.2014.6983439 Universidad Tecnológica de Bolívar Repositorio UTB 56682785300 26325154200 |
| url |
https://hdl.handle.net/20.500.12585/9043 |
| dc.language.iso.none.fl_str_mv |
eng |
| language |
eng |
| dc.relation.conferencedate.none.fl_str_mv |
22 October 2014 through 24 October 2014 |
| dc.rights.coar.fl_str_mv |
http://purl.org/coar/access_right/c_16ec |
| dc.rights.uri.none.fl_str_mv |
http://creativecommons.org/licenses/by-nc-nd/4.0/ |
| dc.rights.accessrights.none.fl_str_mv |
info:eu-repo/semantics/restrictedAccess |
| dc.rights.cc.none.fl_str_mv |
Atribución-NoComercial 4.0 Internacional |
| rights_invalid_str_mv |
http://creativecommons.org/licenses/by-nc-nd/4.0/ Atribución-NoComercial 4.0 Internacional http://purl.org/coar/access_right/c_16ec |
| eu_rights_str_mv |
restrictedAccess |
| dc.format.medium.none.fl_str_mv |
Recurso electrónico |
| dc.format.mimetype.none.fl_str_mv |
application/pdf |
| dc.publisher.none.fl_str_mv |
Institute of Electrical and Electronics Engineers Inc. |
| publisher.none.fl_str_mv |
Institute of Electrical and Electronics Engineers Inc. |
| dc.source.none.fl_str_mv |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84930995211&doi=10.1109%2fCIIMA.2014.6983439&partnerID=40&md5=1ca4604e0c235318e22bfa8392d68912 Scopus2-s2.0-84930995211 |
| institution |
Universidad Tecnológica de Bolívar |
| dc.source.event.none.fl_str_mv |
2014 3rd International Congress of Engineering Mechatronics and Automation, CIIMA 2014 |
| bitstream.url.fl_str_mv |
https://repositorio.utb.edu.co/bitstream/20.500.12585/9043/1/MiniProdInv.png |
| bitstream.checksum.fl_str_mv |
0cb0f101a8d16897fb46fc914d3d7043 |
| bitstream.checksumAlgorithm.fl_str_mv |
MD5 |
| repository.name.fl_str_mv |
Repositorio Institucional UTB |
| repository.mail.fl_str_mv |
repositorioutb@utb.edu.co |
| _version_ |
1814021801768910848 |
| spelling |
Marrugo Hernández, Andrés GuillermoMagre Colorado, Luz AlejandraMartínez-Santos, Juan Carlos2020-03-26T16:32:50Z2020-03-26T16:32:50Z20142014 3rd International Congress of Engineering Mechatronics and Automation, CIIMA 2014 - Conference Proceedings9781479979325https://hdl.handle.net/20.500.12585/904310.1109/CIIMA.2014.6983439Universidad Tecnológica de BolívarRepositorio UTB5668278530026325154200Olympic-style weightlifting, or weightlifting, is an athletic discipline that has as a goal lift the heaviest amount of weight attached a weight set. Weightlifting complements other athletic disciplines to increase power and improve performance. Weight training exercises are also an important part of physical rehabilitation from muscle, joint, tendons, and ligaments injuries. To determinate its efficiency, optimize it, prevent lesions, or help in the rehab process indirect and direct methods are commonly used. Direct methods use data from muscular signals to estimate force, torque, and kinematic variables whereas indirect methods like as close range photogrammetric get data directly from a video camera. In this paper, we present a non-invasive system to recover the positions and motion pathways of weight set during lifting moment. Active and passive tracking marks are used to leverage the detection of points of interest. Kinematic parameters were collected and analyzed using moving pictures analysis system implemented in Processing and using OpenCV (Open Source Computer Vision) framework. The preliminary results indicate that our close range photogrammetric method is able to measure kinematic variable in weightlifting during physical or rehab training as well as during competition. Our experiment shows the error in the position measure is less than 2.24% in average. © 2014 IEEE.Universidad Tecnologica de BolivarRecurso electrónicoapplication/pdfengInstitute of Electrical and Electronics Engineers Inc.http://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/restrictedAccessAtribución-NoComercial 4.0 Internacionalhttp://purl.org/coar/access_right/c_16echttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84930995211&doi=10.1109%2fCIIMA.2014.6983439&partnerID=40&md5=1ca4604e0c235318e22bfa8392d68912Scopus2-s2.0-849309952112014 3rd International Congress of Engineering Mechatronics and Automation, CIIMA 2014Using close range photogrammetric method to estimate kinetic variables in olympic-style weightliftinginfo:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionConferenciahttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_c94fComputer visionKinematicsOpen systemsTracking (position)Video camerasClose-range photogrammetricImprove performanceIndirect methodsKinematic parametersKinematic variablesKinetic variablesPhysical rehabilitationPoints of interestPhotogrammetry22 October 2014 through 24 October 2014Rogers, P., (2012) Weight Training in Rehabilitation Recover Quickly from Injury, , http://weighttraining.about.com/od/physicaltherapy/a/Weight-Training-In-Rehabilitation.htm, JulyBronzino, J., (2000) The Biomedical Engineering Handbook, , SpringerJovanov, E., Milenkovic, A., Otto, C., De Groen, P.C., A wireless body area network of intelligent motion sensors for computer assisted physical rehabilitation (2005) Journal of NeuroEngineering and Rehabilitation, 2 (1), p. 6Wang, L., Yang, G.-Z., Huang, J., Zhang, J., Yu, L., Nie, Z., Cumming, D.R.S., A wireless biomedical signal interface system-on-chip for body sensor networks (2010) Biomedical Circuits and Systems, IEEE Transactions on, 4 (2), pp. 112-117Garhammer, J., Takano, B., (1992) Training for Weightlifting, , T. E. of Sports Medicine, Ed. Oxford: Blackwell ScientificIsaka, T., Okada, J., Funato, K., Kinematic analysis of the barbell during the snatch movement of elite asian weight lifters (1996) Journal of Applied Biomechanics, 12, pp. 508-516Campillo, P., Hertogh, C., Micallef, J.P., Puntos críticos del tirón de arrancada en halterofilia (1999) Apunts Educación Física y Deportes, 55, pp. 28-34Gourgoulis, V., Aggeloussis, N., Antoniou, P., Christoforidis, C., Mavromatis, G., Garas, A., Comparative 3-dimensional kinematic analysis of the snatch technique in elite male and female greek weightlifters (2002) Journal Strength Cond Res, 16, pp. 359-366Campos, J., Poletaev, P., Cuesta, A., Pablos, C., Tébar, J., Estudio del movimiento de arrancada en halterofilia durante ciclos de repeticiones de alta intensidad mediante analisis cinematicos (2010) Motricidad. European Journal of Human Movement, 12, pp. 37-51(2014) Face2face c8.0, , http://www.iball.co.in/Product/Face2Face-C8-0-Rev-3-0-/90(2014) Processing.org, , http://www.processing.org(2014) Rgb Color Model, , http://en.wikipedia.org/wiki/RGBcolormodelHarbili, E., Análisis cinemático y cinético por sexos del arranque en halterófilos de elite pertenecientes a la categoría de 69 kg (2012) PubliCE StandardVelloso, E., Bulling, A., Gellersen, H., Towards qualitative assessment of weight lifting exercises using body-worn sensors (2011) Proceedings of the 13th International Conference on Ubiquitous Computing. ACM, pp. 587-588http://purl.org/coar/resource_type/c_c94fTHUMBNAILMiniProdInv.pngMiniProdInv.pngimage/png23941https://repositorio.utb.edu.co/bitstream/20.500.12585/9043/1/MiniProdInv.png0cb0f101a8d16897fb46fc914d3d7043MD5120.500.12585/9043oai:repositorio.utb.edu.co:20.500.12585/90432023-05-26 16:29:18.873Repositorio Institucional UTBrepositorioutb@utb.edu.co |