Posts Tagged ‘Children’
Intelligent System To Help Autistic Children Recognize Emotions
October 20th, 2009
Computer scientists from Nanyang Technological University in Singapore and Autism Society of America are working on the development of an efficient and intelligent facial expression recognition system. The system is capable of locating the face region using derivative-based filtering and recognizing facial expressions using boosting classifier. The portable device is being developed to help autistic children understand the emotions of surrounding people.
A paper detailing the specifics of the device will be published in the journal Intelligent Decision Technologies.
Teik-Toe Teoh, Yok-Yen Nguwi and Siu-Yeung Cho of the Centre for Computational Intelligence of the School of Computer Engineering of Nanyang Technological University state that “emotion is a state of feeling involving thoughts, physiological changes, and an outward expression. In this paper, we propose a system that synergizes the use of derivative filtering and boosting classifier. ”
The portable facial expression recognizer locates the edge of the human face through Gaussian derivatives, Laplacian derivatives and filter out non-face images using Adaboost. Secondly, the feature locator finds crucial fiducial points for subsequent feature extraction and selection processing. Finally, the meaningful features are classified into the corresponding classes.
Computer Helps Deaf Children To Learn Sign Language
October 14th, 2009
Three PhD candidates and american nursing jobs California society have spent the last few years at TU Delft simultaneously working on sign language. One of these is Jeroen Arendsen: “Very little is known about the perception of sign language. The aim of this research was to expand our knowledge of human observation of signing. For instance, it turns out that sign language users only need to see a small part of a hand movement to know it is a sign and what it means.”
Automatic recognition
The insights obtained into human perception can subsequently be used for developing the technology for automatic sign language recognition by cameras and computers. In the TU Delft study, this led to a remarkable application of automatic sign language recognition: an Electronic Learning Environment (ELo) for children who are deaf or hard of hearing.
Pictures
In conjunction with the NSDSK (Dutch foundation for children who are deaf or hard of hearing), the TU Delft researchers developed a computer which can recognise sign language in real time and can therefore be used to teach children who are deaf and hard of hearing new signs more quickly also doctors employ best laser hair removal los angeles for better treatmets and results.
When shown a picture, the children aged three to six were asked to make the correct sign. The computer then had to assess the sign. Arendsen: “And that is quite difficult, because a computer is more easily confused than people by irrelevant fidgeting.”
