Name
Title | ||
|---|---|---|
Velocity Profile Based Recognition of Dynamic Gestures with Discrete Hidden Markov Models |
Abstract | ||
|---|---|---|
In this paper we present a method for the recognition of dynamic gestures with discrete Hidden Markov Models (HMMs) from a
continuous stream of gesture input data. The segmentation problem is addressed by extracting two velocity profiles from the
gesture data and using their extrema as segmentation cues. Gestures are captured with a TUB-SensorGlove. The paper focuses
on the description of the gesture recognition method (including data preprocessing) and describes experiments for the evaluation
of the performance of the recognition method. The paper combines and further develops ideas from some of our previous work.
|
Year | DOI | Venue |
|---|---|---|
1997 | 10.1007/BFb0052991 | Gesture Workshop |
Keywords | Field | DocType |
velocity profile,dynamic gestures,discrete hidden markov models,gesture recognition,data preprocessing,hidden markov model | Signature recognition,Maximum-entropy Markov model,Pattern recognition,Gesture,Segmentation,Markov model,Computer science,Gesture recognition,Speech recognition,Artificial intelligence,Hidden Markov model,Viterbi algorithm | Conference |
ISBN | Citations | PageRank |
3-540-64424-5 | 39 | 5.07 |
References | Authors | |
3 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Frank G. Hofmann | 1 | 44 | 7.69 |
| Peter Heyer | 2 | 39 | 5.07 |
| Günter Hommel | 3 | 657 | 134.35 |