Personalized machine learning for robot perception of affect and engagement in autism therapy-Reference-Cited by-同舟云学术

Personalized machine learning for robot perception of affect and engagement in autism therapy

Author:

Rudovic Ognjen¹^ORCID,Lee Jaeryoung²^ORCID,Dai Miles¹^ORCID,Schuller Björn³⁴^ORCID,Picard Rosalind W.¹

Affiliation:

1. MIT Media Lab, Cambridge, MA 02139, USA.

2. Department of Robotic Science and Technology, Chubu University, Kasugai, Aichi 487-8501, Japan.

3. Department of Computing, Imperial College London, London SW7 2AZ, UK.

4. Chair of Embedded Intelligence for Health Care and Wellbeing, University of Augsburg, 86159 Augsburg, Germany.

Abstract

Personalized machine learning enables robot perception of children’s affective states and engagement during robot-assisted autism therapy.

Funder

EU Horizon 2020

MEXT Grantin- Aid for Young Scientists B Grant

Chubu University Grant I Grant

EU HORIZON 2020 - Marie Skłodowska-Curie Individual Fellowship

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Artificial Intelligence,Control and Optimization,Computer Science Applications,Mechanical Engineering

Reference56 articles.

5. C. M. Bishop Pattern Recognition and Machine Learning (Springer 2006).

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