Sensor Based Motion Tracking and Recognition in Martial Arts Training
| but.committee | doc. Ing. Daniel Schwarz, Ph.D. (předseda) doc. Ing. Jiří Kozumplík, CSc. (místopředseda) Ing. Vratislav Harabiš, Ph.D. (člen) Ing. Jiří Sekora, MBA (člen) MUDr. Šárka Sekorová (člen) Ing. Martin Mézl, Ph.D. (člen) | cs |
| but.defence | Student has presented his thesis and committee has been acquainted with reviews. Prof. Sauermann: How did you evaluate results? Did you just counted or were you recorded on video? Why do you think there's a difference in the classification? Doc. Schwarz: How did you divided your set to training and testing sets? Was there no cross validation? Ing. Mézl: Could it work as recognition system for anybody else but you? Student has defended final thesis and answered questions of opponent and committee. | cs |
| but.jazyk | angličtina (English) | |
| but.program | Electrical, Electronic, Communication and Control Technology | cs |
| but.result | práce byla úspěšně obhájena | cs |
| dc.contributor.advisor | Harabiš, Vratislav | en |
| dc.contributor.author | Agojo, Stephan | en |
| dc.contributor.referee | Sekora, Jiří | en |
| dc.date.created | 2017 | cs |
| dc.description.abstract | In various martial arts, competitors are interested in quantifying and categorising techniques which are exercised during training. The implementation of embedded systems into training gear, especially a portable wireless body worn system, based on inertial sensors, facilitates the quantification and categorisation of forces and accelerations involved during the training of martial arts. The scope of this paper is to give a brief overview of contemporary technology and devices, describe key methods that are implemented in such devices and as well to provide a project outline. For this reason a literature research was carried out using search engines and databases. The search yielded that devices are capable of tracking activities of daily life; however only one product was found which can track and recognise techniques applied in martial arts training just for the upper body. The realisation of a sensor based tracking system which can track and classify different exercises is possible with present technology. Even so, different challenges such as implementing a sensor fusion and classifier algorithm need to be overcome. Therefore, the project development has to be viewed as an iterative process. | en |
| dc.description.abstract | In various martial arts, competitors are interested in quantifying and categorising techniques which are exercised during training. The implementation of embedded systems into training gear, especially a portable wireless body worn system, based on inertial sensors, facilitates the quantification and categorisation of forces and accelerations involved during the training of martial arts. The scope of this paper is to give a brief overview of contemporary technology and devices, describe key methods that are implemented in such devices and as well to provide a project outline. For this reason a literature research was carried out using search engines and databases. The search yielded that devices are capable of tracking activities of daily life; however only one product was found which can track and recognise techniques applied in martial arts training just for the upper body. The realisation of a sensor based tracking system which can track and classify different exercises is possible with present technology. Even so, different challenges such as implementing a sensor fusion and classifier algorithm need to be overcome. Therefore, the project development has to be viewed as an iterative process. | cs |
| dc.description.mark | E | cs |
| dc.identifier.citation | AGOJO, S. Sensor Based Motion Tracking and Recognition in Martial Arts Training [online]. Brno: Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií. 2017. | cs |
| dc.identifier.other | 104354 | cs |
| dc.identifier.uri | http://hdl.handle.net/11012/69417 | |
| dc.language.iso | en | cs |
| dc.publisher | Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií | cs |
| dc.rights | Standardní licenční smlouva - přístup k plnému textu bez omezení | cs |
| dc.subject | smart | en |
| dc.subject | sensor based | en |
| dc.subject | motion | en |
| dc.subject | tracking | en |
| dc.subject | capture | en |
| dc.subject | smart | cs |
| dc.subject | sensor based | cs |
| dc.subject | motion | cs |
| dc.subject | tracking | cs |
| dc.subject | capture | cs |
| dc.title | Sensor Based Motion Tracking and Recognition in Martial Arts Training | en |
| dc.title.alternative | Sensor Based Motion Tracking and Recognition in Martial Arts Training | cs |
| dc.type | Text | cs |
| dc.type.driver | masterThesis | en |
| dc.type.evskp | diplomová práce | cs |
| dcterms.dateAccepted | 2017-08-31 | cs |
| dcterms.modified | 2017-09-01-09:13:54 | cs |
| eprints.affiliatedInstitution.faculty | Fakulta elektrotechniky a komunikačních technologií | cs |
| sync.item.dbid | 104354 | en |
| sync.item.dbtype | ZP | en |
| sync.item.insts | 2025.03.26 13:30:45 | en |
| sync.item.modts | 2025.01.15 16:47:51 | en |
| thesis.discipline | Biomedical and Ecological Engineering | cs |
| thesis.grantor | Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií. Ústav biomedicínského inženýrství | cs |
| thesis.level | Inženýrský | cs |
| thesis.name | Ing. | cs |