The Community for Technology Leaders
RSS Icon
Subscribe
Issue No.12 - December (1997 vol.19)
pp: 1325-1337
ABSTRACT
<p><b>Abstract</b>—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.</p>
INDEX TERMS
Gesture recognition, state-based representation, gesture prototype, motion-based recognition.
CITATION
Aaron F. Bobick, "A State-Based Approach to the Representation and Recognition of Gesture", IEEE Transactions on Pattern Analysis & Machine Intelligence, vol.19, no. 12, pp. 1325-1337, December 1997, doi:10.1109/34.643892
7 ms
(Ver 2.0)

Marketing Automation Platform Marketing Automation Tool