Infant Hungry Recognition Based on k-NN and Autoregressive Model
To study their behaviour without knowing what their needs is another crucial issue. A lot of researches have been rapidly investigated. Thus, in this paper we proudly proposed a system to determine the hungry infant based on their facial expression. A Haar Cascade face detection method
was implemented. Autoregressive Model (AR) was employed for the coefficient extraction. Some other statistical methods were used as the feature extraction. Finally k-Nearest Neighbour (k-NN) with 96.78% accuracy was accepted.
Document Type: Research Article
Publication date: 01 November 2013
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