Dynamic time warping for off-line recognition of a small gesture vocabulary

Author

Corradini, Andrea

Author_Institution

Center for Human-Comput. Commun., Oregon Graduate Center, Beaverton, OR, USA

fYear

2001

fDate

2001

Firstpage

82

Lastpage

89

Abstract

We focus on the visual sensory information to recognize human activity in form of hand-arm movements from a small, predefined vocabulary. We accomplish this task by means of a matching technique by determining the distance between the unknown input and a set of previously defined templates. A dynamic time warping algorithm is used to perform the time alignment and normalization by computing a temporal transformation allowing the two signals to be matched. The system is trained with finite video sequences of single gesture performances whose start and end-point are accurately known. Preliminary experiments are accomplished off-line and result in a recognition accuracy of up to 92%

Keywords

computer vision; feature extraction; gesture recognition; image sequences; pattern matching; user interfaces; dynamic time warping; feature extraction; gesture recognition; gesture vocabulary; hand-arm movements; off-line recognition; pattern matching; time alignment; video sequences; Computer interfaces; Humans; Instruments; Keyboards; Magnetic heads; Mice; User interfaces; Video sequences; Vocabulary; Wearable sensors;

fLanguage

English

Publisher

ieee

Conference_Titel

Recognition, Analysis, and Tracking of Faces and Gestures in Real-Time Systems, 2001. Proceedings. IEEE ICCV Workshop on

Conference_Location

Vancouver, BC

ISSN

1530-1044

Print_ISBN

0-7695-1074-4

Type

conf

DOI

10.1109/RATFG.2001.938914

Filename

938914