Myo Gesture Control Armband for Medical Applications
| dc.contributor.author | Abduo, Mahmoud | |
| dc.contributor.author | Galster, Matthias | |
| dc.date.accessioned | 2017-10-03T02:54:23Z | |
| dc.date.available | 2017-10-03T02:54:23Z | |
| dc.date.issued | 2015 | en |
| dc.description.abstract | Through studying the relationship between surface electromyography and hand kinematics, hand-amputees may be able to recover a significant part of their lost functionality using noninvasive methods. By investigating the accuracy of the Myo gesture control armband, more people may be able to afford devices which help them recover said functionality. By setting up an experiment using a data acquisition interface to gather surface electromyography to classify movements, the accuracy of the Myo armband can be compared to other devices that have been used in similar benchmark studies. By analyzing the results obtained, the Myo armband may be a viable replacement for other, more expensive devices that can analyze surface electromyography. This project aims to provide an interface to record gestural data from the Myo gesture control armband relative to a scientific benchmark database as well as to provide an extendable platform through which other researchers may conduct further relevant experiments using other devices and sensors. | en |
| dc.identifier.uri | http://hdl.handle.net/10092/14449 | |
| dc.language | English | |
| dc.language.iso | en | |
| dc.publisher | University of Canterbury | en |
| dc.rights | All Right Reserved | en |
| dc.rights.uri | https://canterbury.libguides.com/rights/theses | en |
| dc.title | Myo Gesture Control Armband for Medical Applications | en |
| dc.type | Reports | en |
| thesis.degree.grantor | University of Canterbury | en |
| thesis.degree.level | Bachelors with Honours | en |
| thesis.degree.name | Bachelor of Science with Honours | en |
| uc.college | Faculty of Engineering | en |