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Robotic Interaction for Assistance to Autistic Children

Published: 13 September 2018 Publication History

Abstract

The rising cost of healthcare, the exponential growth of vulnerable population such as the sick and the aged, and the shortage of qualified professionals in recent times has led to logical alternatives of providing healthcare to patients. One of the major means of providing alternative care is the use of social robots. Several robotic examples have already been developed to interact and assist with autistic kids. This work is a contribution in the same domain. In this paper, we present our proposed human-robotic interaction system to assist autistic children. Our methodology makes use of multimodal fusion and fission as the basis for the interaction. The proposed solution is different from existing ones in the sense that the interaction between the autistic child and the robot is based on the context of the child. The robot is intended to be intelligent to adapt to the context of the autistic child.

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cover image ACM Other conferences
CompSysTech '18: Proceedings of the 19th International Conference on Computer Systems and Technologies
September 2018
206 pages
ISBN:9781450364256
DOI:10.1145/3274005
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

In-Cooperation

  • ERSVB: EURORISC SYSTEMS - Varna, Bulgaria
  • FOSEUB: FEDERATION OF THE SCIENTIFIC ENGINEERING UNIONS - Bulgaria
  • UORB: University of Ruse, Bulgaria
  • TECHUVB: Technical University of Varna, Bulgaria

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 13 September 2018

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Author Tags

  1. Human-robotic interaction
  2. fission
  3. fusion
  4. multimodal computing
  5. robotics for healthcare

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CompSysTech'18

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Overall Acceptance Rate 241 of 492 submissions, 49%

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