Title:
Regressing dexterous finger flexions using machine learning and multi-channel single element ultrasound transducers
Regressing dexterous finger flexions using machine learning and multi-channel single element ultrasound transducers
| dc.contributor.advisor | Weinberg, Gil | |
| dc.contributor.author | Hantrakul, Lamtharn | |
| dc.contributor.committeeMember | Lerch, Alexander | |
| dc.contributor.committeeMember | Bretan, Mason | |
| dc.contributor.committeeMember | Boots, Byron | |
| dc.contributor.department | Music | |
| dc.date.accessioned | 2019-05-29T14:00:12Z | |
| dc.date.available | 2019-05-29T14:00:12Z | |
| dc.date.created | 2018-05 | |
| dc.date.issued | 2018-04-27 | |
| dc.date.submitted | May 2018 | |
| dc.date.updated | 2019-05-29T14:00:12Z | |
| dc.description.abstract | Human Machine Interfaces or "HMI's" come in many shapes and sizes. The mouse and keyboard is a typical and familiar HMI. In applications such as Virtual Reality or Music performance, a precise HMI for tracking finger movement is often required. Ultrasound, a safe and non-invasive imaging technique, has shown great promise as an alternative HMI interface that addresses the shortcomings of vision-based and glove-based sensors. This thesis develops a first-in-class system enabling real-time regression of individual and simultaneous finger flexions using single element ultrasound transducers. A comprehensive dataset of ultrasound signals is collected is collected from a study of 10 users. A series of machine learning experiments using this dataset demonstrate promising results supporting the use of single element transducers as a HMI device. | |
| dc.description.degree | M.S. | |
| dc.format.mimetype | application/pdf | |
| dc.identifier.uri | http://hdl.handle.net/1853/61173 | |
| dc.language.iso | en_US | |
| dc.publisher | Georgia Institute of Technology | |
| dc.subject | Machine learning | |
| dc.subject | Ultrasound | |
| dc.title | Regressing dexterous finger flexions using machine learning and multi-channel single element ultrasound transducers | |
| dc.type | Text | |
| dc.type.genre | Thesis | |
| dspace.entity.type | Publication | |
| local.contributor.advisor | Weinberg, Gil | |
| local.contributor.corporatename | College of Design | |
| local.contributor.corporatename | School of Music | |
| local.relation.ispartofseries | Master of Science in Music Technology | |
| relation.isAdvisorOfPublication | f3feda3b-c805-4675-842e-01a40f8b40a4 | |
| relation.isOrgUnitOfPublication | c997b6a0-7e87-4a6f-b6fc-932d776ba8d0 | |
| relation.isOrgUnitOfPublication | 92d2daaa-80f2-4d99-b464-ab7c1125fc55 | |
| relation.isSeriesOfPublication | bb52c603-2646-4dfa-a9b7-9f81b43c419a | |
| thesis.degree.level | Masters |