Download Ambient Intelligence: 12th European Conference, AmI 2015, by Boris De Ruyter, Achilles Kameas, Periklis Chatzimisios, PDF

By Boris De Ruyter, Achilles Kameas, Periklis Chatzimisios, Irene Mavrommati

This publication constitutes the refereed lawsuits of the twelfth ecu convention on Ambient Intelligence, AmI 2015, held in Athens, Greece, in November 2015.

The 21 revised complete papers offered including five brief papers have been conscientiously reviewed and chosen from forty eight submissions. during the last twenty years, the imaginative and prescient of Ambient Intelligence has steadily materialized right into a plethora of applied sciences and units, that are being brought into virtually each element of way of life, hence affecting our skills, actions, habit and within the end,shaping a brand new approach of thinking.

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J. Early Child. Literacy 1(3), 255–278 (2001) 38. : Monitoring children’s developmental progress using augmented toys and activity recognition. Pers. Ubiquit. Comput. 16(2), 169–191 (2012) 39. : Designing Toys with Automatic Play Characterization for Supporting the Assessment of a Child’s Development. College of Computing, Georgia Institute of Technology, Atlanta (2008) 40. World Health Organization: ICF CY the International Classification of Functioning, Disability and Health for Children and Adolescents.

UM 2003. LNCS, vol. 2702, pp. 388–392. Springer, Heidelberg (2003) 11. : Playing around in school: implications for learning and educational policy. D. ) Oxford Handbook of the Development of Play. Oxford University Press, Oxford (2011) 12. : The denver developmental screening test. J. Pediatr. 71(2), 181–191 (1967) 13. : The denver II: a major revision and restandardization of the denver developmental screening test. Pediatrics 89(1), 91–97 (1992) 32 E. Zidianakis et al. 14. : Developmental surveillance and screening of infants and young children.

Therefore, the reasoning mechanism is able to react more appropriately to a change in the play performance during playing. The accuracy of this method depends largely on the choice of the weighting factors which were determined with the help of early childhood professionals. The selected factors are W15 = 15, W14 = 14 … W1 = 1. The capacity of a required activity (AC) is the product of the following formula AC ¼ Pn t¼1 Wt  Vt P n t¼1 Wt where Wt is the weighting factor, Vt is the value of the play performance, n is the number of the weighting factors (n = 15) and AC is the average value representing the child’s capacity to execute a required activity.

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