The Abstracts of the international conference on advanced mechatronics : toward evolutionary fusion of IT and mechatronics : ICAM
Online ISSN : 2424-3116
2015.6
Conference information
Basic Study on Facial Expression Recognition Model Adaptable along Time-axis
Masaki IshiiTakashi YamayaYoichi KageyamaTsuyoshi TakahahsiMakoto Nishida
Author information
CONFERENCE PROCEEDINGS FREE ACCESS

Pages 193-194

Details
Abstract
For a facial expression recognition model to retain its high robustness continuously along the time axis over a long period of time, the classifier created during the initial stage should evolve and gradually become adaptive over time. We propose a method for creating a facial expression recognition model that can offer such an adaptive learning capability.
Content from these authors
© 2015 The Japan Society of Mechanical Engineers
Previous article Next article
feedback
Top