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

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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

Summary

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.

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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.