Activity Recognition using Singular Value Decomposition
| dc.contributor.author | Jolly, Vineet Kumar | en |
| dc.contributor.committeecochair | Jones, Mark T. | en |
| dc.contributor.committeecochair | Martin, Thomas L. | en |
| dc.contributor.committeemember | Plassmann, Paul E. | en |
| dc.contributor.department | Electrical and Computer Engineering | en |
| dc.date.accessioned | 2014-03-14T20:46:04Z | en |
| dc.date.adate | 2006-11-09 | en |
| dc.date.available | 2014-03-14T20:46:04Z | en |
| dc.date.issued | 2006-08-08 | en |
| dc.date.rdate | 2006-11-09 | en |
| dc.date.sdate | 2006-09-28 | en |
| dc.description.abstract | A wearable device that accurately records a user's daily activities is of substantial value. It can be used to enhance medical monitoring by maintaining a diary that lists what a person was doing and for how long. The design of a wearable system to record context such as activity recognition is influenced by a combination of variables. A flexible yet systematic approach for building a software classification environment according to a set of variables is described. The integral part of the software design is the use of a unique robust classifier that uses principal component analysis (PCA) through singular value decomposition (SVD) to perform real-time activity recognition. The thesis describes the different facets of the SVD-based approach and how the classifier inputs can be modified to better differentiate between activities. This thesis presents the design and implementation of a classification environment used to perform activity detection for a wearable e-textile system. | en |
| dc.description.degree | Master of Science | en |
| dc.identifier.other | etd-09282006-021229 | en |
| dc.identifier.sourceurl | http://scholar.lib.vt.edu/theses/available/etd-09282006-021229/ | en |
| dc.identifier.uri | http://hdl.handle.net/10919/35219 | en |
| dc.publisher | Virginia Tech | en |
| dc.relation.haspart | IRB_s05-690_Approval.pdf | en |
| dc.relation.haspart | JollyThesis.pdf | en |
| dc.rights | In Copyright | en |
| dc.rights.uri | http://rightsstatements.org/vocab/InC/1.0/ | en |
| dc.subject | activity recognition | en |
| dc.subject | e-textiles | en |
| dc.subject | svd | en |
| dc.title | Activity Recognition using Singular Value Decomposition | en |
| dc.type | Thesis | en |
| thesis.degree.discipline | Electrical and Computer Engineering | en |
| thesis.degree.grantor | Virginia Polytechnic Institute and State University | en |
| thesis.degree.level | masters | en |
| thesis.degree.name | Master of Science | en |