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Mechanical control of a wheelchair by means of EEG signals
Thesis (MEng)--Stellenbosch University, 2018.
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| Other Authors: | |
| Format: | Thesis |
| Language: | en_ZA |
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Stellenbosch : Stellenbosch University
2018
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| _version_ | 1867613992596275200 |
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| access_status_str | Open Access |
| author | Van Wyk, Ian Nicolaas |
| author2 | Van den Heever, David Jacobus |
| author_browse | Van Wyk, Ian Nicolaas Van den Heever, David Jacobus |
| author_facet | Van den Heever, David Jacobus Van Wyk, Ian Nicolaas |
| author_sort | Van Wyk, Ian Nicolaas |
| collection | Thesis |
| dc_rights_str_mv | Stellenbosch University |
| description | Thesis (MEng)--Stellenbosch University, 2018. |
| format | Thesis |
| id | oai:scholar.sun.ac.za:10019.1/103765 |
| institution | Stellenbosch University (South Africa) |
| language | en_ZA |
| last_indexed | 2026-06-10T12:44:57.544Z |
| license_str | Other — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from SUNScholar — Stellenbosch University Repository |
| publishDate | 2018 |
| publishDateRange | 2018 |
| publishDateSort | 2018 |
| publisher | Stellenbosch : Stellenbosch University |
| publisherStr | Stellenbosch : Stellenbosch University |
| record_format | dspace |
| source_str | SUNScholar — Stellenbosch University Repository |
| spelling | oai:scholar.sun.ac.za:10019.1/103765 Mechanical control of a wheelchair by means of EEG signals Van Wyk, Ian Nicolaas Van den Heever, David Jacobus Stellenbosch University. Faculty of Engineering. Dept. of Mechanical and Mechatronic Engineering. EEG Wheelchairs UCTD Mechanical movements Thesis (MEng)--Stellenbosch University, 2018. ENGLISH ABSTRACT: The aim of this project was to incorporate a low cost electric wheelchair by modifying an existing self-propelled one with a neuro headset. The headset must control the wheelchair by using EEG data and motor imagery. Binary and discriminant analysis classifiers were implemented with accuracies ranging between 44% and 68.75%. It is concluded that dynamic classification has a very low accuracy compared to using pre acquired data. Also motor imagery is not very well suited when used with the Epoc+ neuro headset. The wheelchair was never constructed, however it was concluded that the listed components are sufficient to create a cheaper alternative for an electric wheelchair. AFRIKAANSE OPSOMMING: Die doel van die projek was om `n lae koste elektriese rolstoel te inkorporeer deur `n bestaande stoot-rolstoel te modifiseer. Hierdie rolstoel moet deur `n neuro-kopstuk beheer word deur middle van EEG seine en motor beelde. Binêre en diskriminante analise klassifikasies was gebruik met akkuraathede tussen 44% en 68.75%. Hieruit word afgelei dat dinamiese klassifikasie minder akkuraat is as wanneer vooraf bepaalde waardes gebruik word. Ook is motor beelde nie `n baie goeie keuse wanneer die Epoc+ neuro-kopstuk gebruik word nie. Die rolstoel was nooit gebou nie, maar daar is afgelei dat die componente gelys in die tesis voldoende is om `n goedkoop alternatief vir `n elektriese rolstoel te bou. 2018-02-28T19:00:11Z 2018-04-09T07:08:59Z 2018-02-28T19:00:11Z 2018-04-09T07:08:59Z 2018-03 Thesis http://hdl.handle.net/10019.1/103765 en_ZA Stellenbosch University 92 pages : illustrations application/pdf Stellenbosch : Stellenbosch University |
| spellingShingle | EEG Wheelchairs UCTD Mechanical movements Van Wyk, Ian Nicolaas Mechanical control of a wheelchair by means of EEG signals |
| title | Mechanical control of a wheelchair by means of EEG signals |
| title_full | Mechanical control of a wheelchair by means of EEG signals |
| title_fullStr | Mechanical control of a wheelchair by means of EEG signals |
| title_full_unstemmed | Mechanical control of a wheelchair by means of EEG signals |
| title_short | Mechanical control of a wheelchair by means of EEG signals |
| title_sort | mechanical control of a wheelchair by means of eeg signals |
| topic | EEG Wheelchairs UCTD Mechanical movements |
| url | http://hdl.handle.net/10019.1/103765 |
| work_keys_str_mv | AT vanwykiannicolaas mechanicalcontrolofawheelchairbymeansofeegsignals |