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Computer Science : Human Aging

Activities

A component of the Cooperative Autonomous Mobile Robotic Systems(CAMoRoS) project is related to modeling and recognizing human stress and human affective states by computers. Several challenges need to be addressed including: video recognition, characterization of the behavioral stresses, and parameter extraction. 

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Findings

It is still an open problem to extract general discriminative features for age estimation while reducing the negative influence of individual differences. To address the problem we developed a new method, called locally adjusted robust regression (LARR).

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Participants

Guodong Guo, Guowang Mu, Alade Tokuta
  - NCCU Science and Technology