Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Video

Updated: Oct 10, 2025

Quantifying Learning in Young Infants: Tracking Leg Actions During a Discovery-learning Task
11:18

Quantifying Learning in Young Infants: Tracking Leg Actions During a Discovery-learning Task

Published on: June 1, 2015

10.8K

Motivating Spontaneous Infant Kicking Motions through Long Term Learning Utilizing a Robotic Mobile System.

Victor Emeli, Ayanna Howard

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |December 11, 2021
    PubMed
    Summary

    This study explores using a robotic baby mobile to detect early motor delays in infants. By learning infant preferences, the system aims to enhance kicking for better developmental outcomes.

    Related Concept Videos

    You might also read

    Related Articles

    Articles linked to this work by shared authors, journal, and citation graph.

    Sort by
    Same author

    Effect of virtual reality on improving arm function in individuals with cerebral palsy: an overview of meta-analyses.

    Developmental neurorehabilitation·2025
    Same author

    Black in Robotics: Improving community and equity in the field of robotics.

    Science robotics·2024
    Same author

    Emerging challenges in AI and the need for AI ethics education.

    AI and ethics·2024
    Same author

    Automated assessment of infant motor development to predict infant age: The determination of objective metrics of spontaneous kicking.

    Wearable technologies·2024
    Same author

    Perceptions of stroke survivors regarding factors affecting adoption of technology and exergames for rehabilitation.

    PM & R : the journal of injury, function, and rehabilitation·2023
    Same author

    Effects of object size and task goals on reaching kinematics in a non-immersive virtual environment.

    Human movement science·2022

    Area of Science:

    • Developmental pediatrics
    • Robotics in healthcare
    • Infant motor development

    Background:

    • Early detection of motor impairment in infants is crucial for timely intervention.
    • Robotic baby mobiles can motivate infant motor activity.
    • Understanding infant preferences can optimize engagement with developmental tools.

    Purpose of the Study:

    • To investigate if infants develop preferences for specific baby mobile stimuli.
    • To determine if these preferences lead to increased and sustained kicking motions.
    • To develop a predictive model for motor development delays using infant kicking data.

    Main Methods:

    • Utilizing a robotic baby mobile to encourage spontaneous infant kicking.
    • Employing a 3D camera system to detect and record kicking motion metrics.

    More Related Videos

    Investigating Motor Skill Learning Processes with a Robotic Manipulandum
    07:52

    Investigating Motor Skill Learning Processes with a Robotic Manipulandum

    Published on: February 12, 2017

    8.9K
    Quantified Assessment of Infant's Gross Motor Abilities Using a Multisensor Wearable
    09:24

    Quantified Assessment of Infant's Gross Motor Abilities Using a Multisensor Wearable

    Published on: May 17, 2024

    1.7K

    Related Experiment Videos

    Last Updated: Oct 10, 2025

    Quantifying Learning in Young Infants: Tracking Leg Actions During a Discovery-learning Task
    11:18

    Quantifying Learning in Young Infants: Tracking Leg Actions During a Discovery-learning Task

    Published on: June 1, 2015

    10.8K
    Investigating Motor Skill Learning Processes with a Robotic Manipulandum
    07:52

    Investigating Motor Skill Learning Processes with a Robotic Manipulandum

    Published on: February 12, 2017

    8.9K
    Quantified Assessment of Infant's Gross Motor Abilities Using a Multisensor Wearable
    09:24

    Quantified Assessment of Infant's Gross Motor Abilities Using a Multisensor Wearable

    Published on: May 17, 2024

    1.7K
  • Applying a Markov Decision Process to learn infant stimulus preferences over multiple sessions.

    • Main Results:

    • Infant kicking can be modulated by different mobile stimuli.
    • A personalized policy can be developed based on learned infant preferences.
    • This approach shows potential for early identification of motor development issues.

    Conclusions:

    • Infant stimulus preference learning is feasible with robotic systems.
    • Personalized interventions can enhance motor activity in infants.
    • This technology offers a novel pathway for early detection and intervention of motor impairments.