MotionPerfection: An agile tool for the visualisation, analysis, annotation, and record of motor practice
| Autor: | Vincent Gallo, Xin Zhou, Diane Abdallah, Manuela Angioi, Emma Redding, Beth Ackroyd, Chiara Galvan, Elisabetta Versace |
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| Jazyk: | angličtina |
| Rok vydání: | 2022 |
| Předmět: | |
| Zdroj: | SoftwareX, Vol 20, Iss , Pp 101247- (2022) |
| Druh dokumentu: | article |
| ISSN: | 2352-7110 38646579 |
| DOI: | 10.1016/j.softx.2022.101247 |
| Popis: | Instructional experts and practitioners in sports, dance and rehabilitation need to assess and provide feedback on motor practice. To visualise, analyse and annotate motor practice, we have developed the user-friendly application MotionPerfection. Using just a single camera video recordings and a computer, MotionPerfection enables users to compare a focal user with a model reference, to assess and annotate the performance. We illustrate the software structure and functionality from video acquisition to feedback annotation. Researchers, instructors, clinicians and practitioners can use MotionPerfection to simplify, automate and standardise the analysis and feedback of motor routines in remote and face-to-face settings, in the laboratory and in the field, without the need of specialised equipment. |
| Databáze: | Directory of Open Access Journals |
| Externí odkaz: |
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