Towards an AI-driven soft toy for automatically detecting and classifying infant-toy interactions using optical force sensors

Towards an AI-driven soft toy for automatically detecting and classifying infant-toy interactions using optical force sensors

Introduction: It is crucial to identify neurodevelopmental disorders in infants early on for timely intervention to improve their long-term outcomes. Combining natural play with quantitative measurements of developmental milestones can be an effective way to swiftly and efficiently detect infants wh...

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Bibliographic Details
Main Authors: Rithwik Udayagiri, Jessica Yin, Xinyao Cai, William Townsend, Varun Trivedi, Rohan Shende, O. Francis Sowande, Laura A. Prosser, James H. Pikul, Michelle J. Johnson
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-03-01
Series:Frontiers in Robotics and AI
Subjects:
pediatric
rehabilitation
smart toy
robotics
infant-toy interactions
machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/frobt.2024.1325296/full

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https://www.frontiersin.org/articles/10.3389/frobt.2024.1325296/full

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