A state-based approach to the representation and recognition ofgesture
Bobick, A.F.
Wilson, A.D.
Media Lab., MIT, Cambridge, MA;
This paper appears in: Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publication Date: Dec 1997
Volume: 19,
Issue: 12
On page(s): 1325-1337
ISSN: 0162-8828
References Cited: 28
CODEN: ITPIDJ
INSPEC Accession Number: 5804825
Digital Object Identifier: 10.1109/34.643892
Current Version Published: 2002-08-06
Abstract
A state-based technique for the representation and recognition of
gesture is presented. We define a gesture to be a sequence of states in
a measurement or configuration space. For a given gesture, these states
are used to capture both the repeatability and variability evidenced in
a training set of example trajectories. Using techniques for computing a
prototype trajectory of an ensemble of trajectories, we develop methods
for defining configuration states along the prototype and for
recognizing gestures from an unsegmented, continuous stream of sensor
data. The approach is illustrated by application to a range of
gesture-related sensory data: the two-dimensional movements of a mouse
input device, the movement of the hand measured by a magnetic spatial
position and orientation sensor, and, lastly, the changing eigenvector
projection coefficients computed from an image sequence
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