This paper presents a recognition system for Arabic handwritten isolated characters. The recognition system is based on hidden Markov model (HMM). The entire system is capable of recognizing the Arabic handwritten characters. First, the system removes all the variation in the character images. Second, Features are extracted using the sliding window technique with HMM. Then, the HMM is used for ...

Job interviews come with a number of challenges, especially for young people who are out of employment, education, or training (NEETs). This paper presents an approach to a job training simulation environment that employs two virtual characters and social cue recognition techniques to create an immersive interactive job interview. The two virtual characters are created with different social beh...

The need for a phylogenetic framework is becoming appreciated in many areas of biology. Such a framework has found limited use in developmental studies. Our current research program is therefore directed to applying comparative and phylogenetic methods to developmental data. In this paper, we examine the concepts underlying this work, discuss potential difficulties, and identify some solutions....

limitations of our cognitive system? Or are errors indispensable parts of every intelligent system? From the first perspective, all errors are at best unnecessary and at worst harmful. Consider an error commonly made by children. When asked to find the sum of 1/2 and 1/3. the answer is often 2/5. This is called the freshman error of adding numerators and adding denominators {Silver. 1986). But ...

This paper considers affective interactions to achieve empathic engagement with synthetic characters in virtual learning environments, in order to support and induce the expression of empathy in children. The paper presents FearNot!, a school based virtual learning environment, populated by synthetic characters used for personal, social and health education, specifically bullying issues in scho...

Wide range of applications and numerous other complexities involved in character recognition (CR) makes it a continuous and open area of research. Feature selection and classification plays major role in achieving higher accuracy for character recognition. In the era of digitization its compelling need to have CR system for regional script. This paper presents analysis of structural features an...

This paper presents a coded block adaptive neural network system using a radical-partitioned structure for large-volume Chinese characters recognition VLSI. Using the coded block adaptive neural network system with a radical-partitioned structure, 1000 frequently-used Chinese characters have been successfully trained in 139.2 hours using an 18 MIPS computer. According to the simulation results,...

The quality and believability of a story can be significantly enhanced by the presence of compelling characters. Characters can be made more compelling by the portrayal of a distinguishable personality. This paper presents an algorithm that formalizes an approach previously described for the incorporation of character personality in narrative that is automatically generated. The approach is bas...