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| Predicate | Object |
|---|---|
| rdf:type | |
| lifeskim:mentions | |
| pubmed:issue |
3
|
| pubmed:dateCreated |
1991-11-14
|
| pubmed:abstractText |
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.
|
| pubmed:language |
eng
|
| pubmed:journal | |
| pubmed:citationSubset |
IM
|
| pubmed:status |
MEDLINE
|
| pubmed:month |
Aug
|
| pubmed:issn |
0148-0731
|
| pubmed:author | |
| pubmed:issnType |
Print
|
| pubmed:volume |
113
|
| pubmed:owner |
NLM
|
| pubmed:authorsComplete |
Y
|
| pubmed:pagination |
348-51
|
| pubmed:dateRevised |
2004-11-17
|
| pubmed:meshHeading | |
| pubmed:year |
1991
|
| pubmed:articleTitle |
Differentiation of human motion data using combined spline and least squares concepts.
|
| pubmed:affiliation |
Department of Mathematics, West Virginia University, Morgantown 26506.
|
| pubmed:publicationType |
Journal Article
|