Name
Abstract | ||
|---|---|---|
A method to precisely determine the onset of voluntary discrete movements in kinetic signals (e.g. joint angle) is presented. The movement onset is identified as an abrupt change in the (time varying) parameters of a statistical process model. An adaptive Kalman whitening filter transforms the digitized kinetic signal into a sequence of innovations which is examined for possible change-points by a generalized log-likelihood-ratio test. The accuracy of the algorithm is assessed by statistical simulations and compared to the accuracy of a standard threshold criterion. Results show that the method provides accurate change time estimates even for weak and highly variable response profiles. |
Year | DOI | Venue |
|---|---|---|
2000 | 10.1007/3-540-39949-6_7 | ISMDA |
Keywords | Field | DocType |
generalized log-likelihood-ratio test,movement onset,adaptive kalman whitening filter,joint angle,kinetic signals,accurate change time,abrupt change,statistical process model,digitized kinetic signal,statistical simulation,kinetic signal,change-point detection,change point detection,log likelihood ratio,process model,kinetics | Change detection,Control theory,Whitening filter,Algorithm,Kalman filter,Statistical process control,Mathematics,Kinetic energy | Conference |
Volume | ISSN | ISBN |
1933 | 0302-9743 | 3-540-41089-9 |
Citations | PageRank | References |
0 | 0.34 | 1 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gerhard Staude | 1 | 35 | 7.59 |
| Werner Wolf | 2 | 39 | 10.18 |