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This dissertation aims to present the design and testing of a low-cost motion capture device with feedback capabilities. In addition to this, an API to communicate with this system is developed that allows devices to connect to the motion capture system and execute commands on it. This system, Actio...
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| Format: | Thesis |
| Language: | Eng |
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Department of Electrical Engineering
2024
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| _version_ | 1867613172636057600 |
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| access_status_str | Open Access |
| author | Chiramba, Humphrey |
| author2 | Winberg, Simon |
| author_browse | Chiramba, Humphrey Winberg, Simon |
| author_facet | Winberg, Simon Chiramba, Humphrey |
| author_sort | Chiramba, Humphrey |
| collection | Thesis |
| description | This dissertation aims to present the design and testing of a low-cost motion capture device with feedback capabilities. In addition to this, an API to communicate with this system is developed that allows devices to connect to the motion capture system and execute commands on it. This system, Action Tracer, would be useful in cases where a user may need to train or learn a repetitive motion found in an activity or sport. Such a task needs to be done under supervision and may need to be done away from a coach or therapist. In either situation, a system which can accommodate both cases while providing insights that are not visible to the eye is needed. In addition to this, the system would need to be con gurable for the various sports that it may be used with, as well as be operated from an Android device. Most of the work that will be presented in this report will relate to the development of marker based motion capture systems, with a particular interest in the use of Inertial Measurement Units (IMUs). In addition to this, the subject of Biofeedback is be covered, as well as how it relates to motion capture and how it can be applied in this eld. |
| format | Thesis |
| id | oai:open.uct.ac.za:11427/40372 |
| institution | University of Cape Town (South Africa) |
| language | Eng |
| last_indexed | 2026-06-10T12:31:54.917Z |
| license_str | Not specified — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | Department of Electrical Engineering |
| publisherStr | Department of Electrical Engineering |
| record_format | dspace |
| source_str | UCTD — University of Cape Town Open Access Repository |
| spelling | oai:open.uct.ac.za:11427/40372 Action Tracer with Android API Chiramba, Humphrey Winberg, Simon Engineering This dissertation aims to present the design and testing of a low-cost motion capture device with feedback capabilities. In addition to this, an API to communicate with this system is developed that allows devices to connect to the motion capture system and execute commands on it. This system, Action Tracer, would be useful in cases where a user may need to train or learn a repetitive motion found in an activity or sport. Such a task needs to be done under supervision and may need to be done away from a coach or therapist. In either situation, a system which can accommodate both cases while providing insights that are not visible to the eye is needed. In addition to this, the system would need to be con gurable for the various sports that it may be used with, as well as be operated from an Android device. Most of the work that will be presented in this report will relate to the development of marker based motion capture systems, with a particular interest in the use of Inertial Measurement Units (IMUs). In addition to this, the subject of Biofeedback is be covered, as well as how it relates to motion capture and how it can be applied in this eld. 2024-07-05T12:57:24Z 2024-07-05T12:57:24Z 2024 2024-07-05T10:59:14Z Thesis / Dissertation Masters MSc http://hdl.handle.net/11427/40372 Eng application/pdf Department of Electrical Engineering Faculty of Engineering and the Built Environment |
| spellingShingle | Engineering Chiramba, Humphrey Action Tracer with Android API |
| thesis_degree_str | Master's |
| title | Action Tracer with Android API |
| title_full | Action Tracer with Android API |
| title_fullStr | Action Tracer with Android API |
| title_full_unstemmed | Action Tracer with Android API |
| title_short | Action Tracer with Android API |
| title_sort | action tracer with android api |
| topic | Engineering |
| url | http://hdl.handle.net/11427/40372 |
| work_keys_str_mv | AT chirambahumphrey actiontracerwithandroidapi |