Facial Expression Recognition of Home Service Robots

Xiang Zhang Chen; Zhi Hao Yin; Ze Su Cai; Ding Ding Zhu

doi:10.4028/www.scientific.net/AMM.411-414.1795

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 411-414Facial Expression Recognition of Home Service...

Facial Expression Recognition of Home Service Robots

Abstract:

It is of great significance that a home service robot can recognize facial expressions of a human being. This thesis suggests that features of facial expressions be extracted with PCA, and facial expressions be recognized by distance-based Hashing K-nearest neighbor classification. First, Haar-like feature and AdaBoost algorithm is adopted to detect a face and preprocess the face image; then PCA is applied to extract features of the facial expression, those features will be inserted into the hash table; finally, the facial expression can be recognized by K-nearest neighbor classification algorithm. As concluded, recognition efficiency can be greatly improved after reconstructing the feature database into hash tables.

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Periodical:

Applied Mechanics and Materials (Volumes 411-414)

Pages:

1795-1800

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.411-414.1795

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Online since:

September 2013

Authors:

Xiang Zhang Chen, Zhi Hao Yin, Ze Su Cai, Ding Ding Zhu

Keywords:

Distance-Based Hashing, Expression Recognition, Extraction of Expression Features, K-Nearest Neighbor Classification, Principal Component Analysis (PCA)

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