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Ready, Set, Move! Tracking Children's Modified Ride-On Car Use With a Custom Data Logger
Sarah M Dean-Hergert1, Christina Papazian, Rebecca Barchus
1Division of Physical Therapy (Drs Dean-Hergert, Barchus, Barroero, Schnare, and Feldner), Department of Rehabilitation Medicine, School of Medicine, University of Washington, Seattle, Washington; Department of Mechanical Engineering (Ms Papazian), University of Washington, Seattle, Washington; Social Mobility Lab (Dr Logan), College of Public Health and Human Sciences, Oregon State University, Corvallis, Oregon; School of Informatics, Computing, and Cyber Systems (Dr Winfree), Northern Arizona University, Flagstaff, Arizona.
This study shows that custom data loggers can feasibly track modified ride-on car (MROC) use remotely. MROC usage decreased over time, despite positive parent perceptions.
Area of Science:
- Assistive technology research
- Pediatric rehabilitation engineering
- Human-computer interaction in healthcare
Background:
- Modified ride-on cars (MROCs) offer therapeutic benefits for children.
- Current methods for tracking MROC use in naturalistic settings are limited.
- Objective data on long-term MROC engagement is needed.
Purpose of the Study:
- To develop and implement a novel data logger for MROC usage.
- To assess the feasibility of remote, long-term data collection.
- To describe MROC usage patterns and parent perceptions.
Main Methods:
- A custom data logger using an Arduino Pro-Mini microprocessor was designed and integrated into MROCs.
- The system enabled real-time, remote data capture in home and community environments.
- A descriptive study design was employed to analyze collected data.
Main Results:
- Remote tracking of MROC use in community settings is feasible.
- MROC usage patterns showed high initial engagement that decreased over time.
- Usage varied in bout duration and play session length, aligning with caregiver reports.
Conclusions:
- Automated remote tracking of MROC use is a viable method.
- This technology can reduce caregiver burden and provide valuable clinical data.
- Understanding usage trends can inform therapeutic interventions and technology development.
