Feature Extraction from Human Gaiting Patterns using Principal Component Analysis and Multivariate Empirical Mode Decomposition
| dc.citation.patentcountry | USA | zh_TW |
| dc.citation.patentnumber | 20150293143 | zh_TW |
| dc.contributor.author | ZAO JOHN KAR-KIN | en_US |
| dc.contributor.author | LU CHIH-KAI | en_US |
| dc.date.accessioned | 2015-12-04T07:03:15Z | |
| dc.date.available | 2015-12-04T07:03:15Z | |
| dc.date.issued | 2015-10-15 | en_US |
| dc.description.abstract | The present invention, in some embodiments thereof, relates to a technique for extracting one or more features of a person's gait from acceleration and velocity measurements collected by motion sensors associated with the person. | zh_TW |
| dc.identifier.govdoc | G01P015/16 | zh_TW |
| dc.identifier.govdoc | G01C022/00 | zh_TW |
| dc.identifier.govdoc | G01B021/00 | zh_TW |
| dc.identifier.uri | https://ir.lib.nycu.edu.tw/handle/11536/128698 | |
| dc.language.iso | zh_TW | en_US |
| dc.title | Feature Extraction from Human Gaiting Patterns using Principal Component Analysis and Multivariate Empirical Mode Decomposition | zh_TW |
| dc.type | Patents | en_US |