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Chewing cycle kinematics in young children using a low-cost 3D camera system: A proof-of-concept study
Roberto Samuel Gómez-Zúñiga1, Ana Wintergerst1
1Universidad Nacional Autónoma de México, Facultad de Odontologia, Mexico City, Mexico.
Archives of Oral Biology
|August 5, 2026
Summary
A low-cost three-dimensional (3D) camera system effectively tracked jaw movements in young children. This system is sensitive enough to detect changes in chewing kinematics related to different food portion sizes.
Area of Science:
- Biomedical Engineering
- Pediatric Dentistry
- Human Movement Science
Background:
- Studying chewing cycle kinematics in young children is challenging due to the high cost of traditional laboratory equipment.
- Limited research exists on pediatric chewing patterns and their response to varying food intake.
- Developing accessible technology for pediatric movement analysis is crucial.
Purpose of the Study:
- To assess the feasibility of a low-cost three-dimensional (3D) tracking system for analyzing pediatric jaw movements.
- To capture spatial and temporal data of chewing kinematics in children aged 12-36 months.
- To identify changes in jaw movements in response to different food portion sizes.
Main Methods:
- Utilized an Intel RealSense D435 depth camera to record jaw motion in five children (12-36 months).
- Applied paper markers on the forehead and chin, tracking their 3D coordinates using custom Python software.
- Analyzed chewing cycle kinematics, including cycle duration and displacement, for small and large food portions.
Main Results:
- The low-cost 3D camera system reliably recorded marker trajectories and synchronized video with 3D coordinate data.
- The system successfully captured individual variations in chewing kinematics between different portion sizes.
- Observed changes in jaw movement patterns, though not uniform across all participants or kinematic variables.
Conclusions:
- This proof-of-concept study demonstrates the feasibility of using an affordable 3D camera system for pediatric chewing analysis.
- The system is sensitive enough to detect kinematic changes associated with varying food portion sizes in young children.
- This technology offers a promising, cost-effective approach for studying pediatric feeding and swallowing behaviors.