| contributor author | W. Simons | |
| contributor author | K. H. Yang | |
| date accessioned | 2017-05-08T23:34:52Z | |
| date available | 2017-05-08T23:34:52Z | |
| date copyright | August, 1991 | |
| date issued | 1991 | |
| identifier issn | 0148-0731 | |
| identifier other | JBENDY-25873#348_1.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/108170 | |
| description abstract | A differentiation method, which combines the concepts of least squares and splines, has been developed to analyze human motion data. This data smoothing technique is not dependent on a choice of a cut-off frequency and yet it closely reflects the nature of the phenomenon. Two sets of published benchmark data were used to evaluate the new algorithm. | |
| publisher | The American Society of Mechanical Engineers (ASME) | |
| title | Differentiation of Human Motion Data Using Combined Spline and Least Squares Concepts | |
| type | Journal Paper | |
| journal volume | 113 | |
| journal issue | 3 | |
| journal title | Journal of Biomechanical Engineering | |
| identifier doi | 10.1115/1.2894894 | |
| journal fristpage | 348 | |
| journal lastpage | 351 | |
| identifier eissn | 1528-8951 | |
| keywords | Motion | |
| keywords | Splines | |
| keywords | Algorithms AND Smoothing methods | |
| tree | Journal of Biomechanical Engineering:;1991:;volume( 113 ):;issue: 003 | |
| contenttype | Fulltext | |