AAAI Publications, Workshops at the Twenty-Fifth AAAI Conference on Artificial Intelligence

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A General Perceptual Model for Eldercare Robots
Timothy James Becker

Last modified: 2011-08-24

Abstract


A general perceptual model is proposed for Eldercare Robot implementation that is comprised of audition functionality interconnected with a feedback-driven perceptual reasoning agent. Using multistage signal analysis to feed temporally tiered learning/recognition modules, concurrent access to sound event localization, classification, and context is realized. Patterns leading to the quantification of patient emotion/well being can be inferred using a perceptual reasoning agent. The system is prototyped using a Nao H-25 humanoid robot with an online processor running the Nao Qi SDK and the Max/MSP environment with the FTM, and GF libraries.

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