Title

Visual gesture recognition

Abstract

This paper presents a method for recognizing human-hand gestures using a model based approach. A finite state machine is used to model four qualitatively distinct phases of a generic gesture. Fingertips are tracked in multiple frames to compute motion trajectories. The trajectories are then used for finding the start and stop position of the gesture. Gestures are represented as a list of vectors and are then matched to stored gesture vector models using table lookup based on vector displacements. Results are presented showing recognition of seven gestures using images sampled at 4 Hz on a SPARC-1 without any special hardware. The seven gestures are representatives for actions of left, right, up, down, grab, rotate, and stop.

Publication Date

4-1-1994

Publication Title

IEE Proceedings: Vision, Image and Signal Processing

Volume

141

Issue

2

Number of Pages

101-106

Document Type

Article

Identifier

scopus

Personal Identifier

scopus

DOI Link

https://doi.org/10.1049/ip-vis:19941058

Socpus ID

0028416649 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/0028416649

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