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Data on toothbrushing study comparing infrared-based motion tracking versus video observation
- Source :
- Data in Brief, Vol 31, Iss, Pp 105867-(2020), Data in Brief
- Publication Year :
- 2020
- Publisher :
- Elsevier BV, 2020.
-
Abstract
- Investigations of toothbrushing habits are an important vector to understand their influence on brushing effectiveness. User compliance in toothbrushing is known to deviate from professional recommendations in brushing time, evenness across all areas of the dentition, and brushing force [1,2]. Despite the recent development of tools designed to guide users to optimised brushing habits [3,4], research on habit evaluation and tracking is limited and typically relies on labour-intensive video observation (VO) [5]. Here we present raw data on toothbrush position as determined by an automated motion tracking (MT) capability and by human VO and provide a technical description of the MT capability. The MT system described in this article was developed in collaboration with Soft2Tec GmbH (Rüsselsheim, Germany) as a potential substitute for the VO tool. The MT system consists of a monocular vision module and a target module with active infrared LED trackers. The MT system determined the position and orientation of a toothbrush relative to the jaw while subjects brushed under realistic conditions. For VO, a trained assessor coded video recording data from toothbrushing sessions. The data presented here describes a clinical study (103 subjects; 46 completed two sessions, 57 completed one session, altogether 149 events) comparing toothbrushing behaviour recorded with the MT system and with VO simultaneously. The raw data was deposited in Mendeley Data, under data identification number doi:10.17632/4f384xrbhm.1 [https://data.mendeley.com/datasets/4f384xrbhm/1].
- Subjects :
- Infrared-based motion tracking
Toothbrush position
Active infrared
Computer science
Toothbrushing habits
Oral care
lcsh:Computer applications to medicine. Medical informatics
Session (web analytics)
law.invention
03 medical and health sciences
Engineering
0302 clinical medicine
Data identification
Match moving
law
Computer vision
lcsh:Science (General)
030304 developmental biology
0303 health sciences
Multidisciplinary
business.industry
Orientation (computer vision)
Video observation
lcsh:R858-859.7
Artificial intelligence
Toothbrush
business
Raw data
Monocular vision
030217 neurology & neurosurgery
lcsh:Q1-390
Subjects
Details
- ISSN :
- 23523409
- Volume :
- 31
- Database :
- OpenAIRE
- Journal :
- Data in Brief
- Accession number :
- edsair.doi.dedup.....2e579c6406ca167bcc5cfc86561f7e69