Framing through peripheral perception

11 November 2002

conference paper
Published by Institute of Electrical and Electronics Engineers (IEEE)

Vol. 3, 38-41 vol.3
https://doi.org/10.1109/icip.2000.899278

Abstract

Context is an essential line of information for systems that rely on real world inputs. However, it is frequently ignored because modeling context by definition requires modeling features outside of the chosen domain. We model context by using peripheral perception, which basically means non-attentional features. This naturally and intuitively defines what it means to model context. We give the results of two experiments in the domain of wearable sensors (camera and microphone).

Keywords

CONTEXT MODELING
HIDDEN MARKOV MODELS
COMPUTER VISION
WEARABLE COMPUTERS
COMPUTER PERIPHERALS
FACE RECOGNITION
WEARABLE SENSORS
CAMERAS
MICROPHONES
SPEECH RECOGNITION

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