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Quantifying infant physical interactions using sensorized toys in a natural play environment

Vatsala Goyal, Wilson Torres, Roshan Rai

    IEEE ... International Conference on Rehabilitation Robotics : [Proceedings]
    |August 18, 2017
    PubMed

    Insights

    Sensorized toys can track infant interactions, aiding early detection of developmental delays. This study quantifies infant-toy physical interactions using a smart elephant toy to gather data for identifying developmental differences.

    Area of Science:

    • Developmental Pediatrics
    • Robotics
    • Human-Computer Interaction

    Background:

    • Early detection of infant developmental delays is crucial for mitigating motor and neurological impairments.
    • Sensorized toys offer a novel approach to quantify infant development through natural play interactions.

    Purpose of the Study:

    • To quantify how sensorized toys in a natural play environment can promote infant-toy physical interactions.
    • To establish metrics for differentiating typical and atypical infant development through toy interaction data.

    Main Methods:

    • Development of a sensorized hanging elephant toy with an inertial measurement unit (IMU) and pressure transducer.
    • Utilizing a 3 Degrees of Freedom (DoF) robotic model to calculate kinematic metrics from IMU data.
    • Calculating haptic metrics from pressure transducer data to analyze infant-toy physical interactions.

    Main Results:

    • Six typical infants participated in the study.
    • Individual infant interaction patterns varied, with the youngest showing significant toy displacement (ΔD = 27.6 cm) and the oldest exhibiting higher mean pressure (4.5 kPa).

    Conclusions:

    • Sensorized toys can capture valuable data on infant-toy interactions.
    • Further data collection, including from atypical infants, is necessary to identify robust metrics for developmental assessment using the SmarToyGym setup.

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