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Data on toothbrushing study comparing infrared-based motion tracking versus video observation.

Michael Wolf1, Patrick Klein2, Reiner Engelmohr1

  • 1Procter & Gamble Service GmbH, Kronberg, Germany.

Data in Brief
|July 3, 2020
PubMed
Summary
This summary is machine-generated.

This study introduces a new motion tracking (MT) system for evaluating toothbrushing habits. The MT system accurately captures toothbrush position, offering a more efficient alternative to traditional video observation (VO) for assessing brushing effectiveness.

Keywords:
Infrared-based motion trackingOral careToothbrush positionToothbrushing habitsVideo observation

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Area of Science:

  • Biomedical Engineering
  • Dental Hygiene
  • Human-Computer Interaction

Background:

  • User compliance with recommended toothbrushing techniques (time, coverage, force) is often poor.
  • Current methods for evaluating toothbrushing habits, such as video observation (VO), are labor-intensive.
  • There is a need for automated and accurate tools to track and assess toothbrushing behavior.

Purpose of the Study:

  • To present raw data on toothbrush position captured by a novel automated motion tracking (MT) system.
  • To provide a technical description of the developed MT system.
  • To compare the performance of the MT system against human video observation (VO) in a clinical setting.

Main Methods:

  • Developed an MT system using a monocular vision module and infrared LED trackers.
  • Collected toothbrush position and orientation data relative to the jaw during brushing.
  • Simultaneously recorded toothbrushing sessions using the MT system and human VO with 103 subjects.

Main Results:

  • The MT system successfully determined toothbrush position and orientation under realistic brushing conditions.
  • Data comparing MT system recordings and VO assessments were collected from 149 brushing events.
  • Raw data has been made publicly available in Mendeley Data.

Conclusions:

  • The developed MT system shows potential as a substitute for labor-intensive video observation in toothbrushing studies.
  • This technology can aid in understanding toothbrushing effectiveness by providing objective data on user habits.
  • Further research can leverage this automated tracking capability for improved dental hygiene interventions.