Literature DB >> 19439390

Interactive toothbrushing education by a smart toothbrush system via 3D visualization.

Kyeong-Seop Kim1, Tae-Ho Yoon, Jeong-Whan Lee, Dong-Jun Kim.   

Abstract

The very first step for keeping good dental hygiene is to employ the correct toothbrushing style. Due to the possible occurrence of periodontal disease at an early age, it is critical to begin correct toothbrushing patterns as early as possible. With this aim, we proposed a novel toothbrush monitoring and training system to interactively educate on toothbrushing behavior in terms of the correct brushing motion and grip axis orientation. Our intelligent toothbrush monitoring system first senses a user's brushing pattern by analyzing the waveforms acquired from a built-in accelerometer and magnetic sensor. To discern the inappropriate toothbrushing style, a real-time interactive three dimensional display system, based on an OpenGL 3D surface rendering scheme, is applied to visualize a subject's brushing patterns and subsequently advise on the correct brushing method.

Mesh:

Year:  2009        PMID: 19439390     DOI: 10.1016/j.cmpb.2009.04.006

Source DB:  PubMed          Journal:  Comput Methods Programs Biomed        ISSN: 0169-2607            Impact factor:   5.428


  8 in total

1.  Efficacy of computer-assisted, 3D motion-capture toothbrushing instruction.

Authors:  Kee-Deog Kim; Jin-Sun Jeong; Hae Na Lee; Yu Gu; Kyeong-Seop Kim; Jeong-Whan Lee; Wonse Park
Journal:  Clin Oral Investig       Date:  2014-11-14       Impact factor: 3.573

2.  Using smartphone video "selfies" to monitor change in toothbrushing behavior after a brief intervention: A pilot study.

Authors:  Parangimalai Diwakar Madan Kumar; Anusa Arunachalam Mohandoss; Theodore Walls; Thavarajah Rooban; Lance T Vernon
Journal:  Indian J Dent Res       Date:  2016 May-Jun

3.  mTeeth: Identifying Brushing Teeth Surfaces Using Wrist-Worn Inertial Sensors.

Authors:  Sayma Akther; Nazir Saleheen; Mithun Saha; Vivek Shetty; Santosh Kumar
Journal:  Proc ACM Interact Mob Wearable Ubiquitous Technol       Date:  2021-06-24

4.  Analysis of tooth brushing cycles.

Authors:  Yuki Tosaka; Kuniko Nakakura-Ohshima; Nozomi Murakami; Rikako Ishii; Issei Saitoh; Yoko Iwase; Akihiro Yoshihara; Akitsugu Ohuchi; Haruaki Hayasaki
Journal:  Clin Oral Investig       Date:  2014-01-14       Impact factor: 3.573

5.  Quantitative evaluation of toothbrush and arm-joint motion during tooth brushing.

Authors:  Emi Inada; Issei Saitoh; Yong Yu; Daisuke Tomiyama; Daisuke Murakami; Yoshihiko Takemoto; Ken Morizono; Tomonori Iwasaki; Yoko Iwase; Youichi Yamasaki
Journal:  Clin Oral Investig       Date:  2014-12-04       Impact factor: 3.573

6.  Effectiveness of a digital device providing real-time visualized tooth brushing instructions: A randomized controlled trial.

Authors:  Haruka Shida; Satoe Okabayashi; Masami Yoshioka; Naoko Takase; Masahiro Nishiura; Yui Okazawa; Kosuke Kiyohara; Manako Konda; Norihiro Nishioka; Takashi Kawamura; Taku Iwami
Journal:  PLoS One       Date:  2020-06-25       Impact factor: 3.240

7.  Effects of Tooth Brushing Training, Based on Augmented Reality Using a Smart Toothbrush, on Oral Hygiene Care among People with Intellectual Disability in Korea.

Authors:  Byoungjin Jeon; Jinseok Oh; Sungmin Son
Journal:  Healthcare (Basel)       Date:  2021-03-18

Review 8.  Recognition of Bathroom Activities in Older Adults Using Wearable Sensors: A Systematic Review and Recommendations.

Authors:  Yiyuan Zhang; Ine D'Haeseleer; José Coelho; Vero Vanden Abeele; Bart Vanrumste
Journal:  Sensors (Basel)       Date:  2021-03-20       Impact factor: 3.576

  8 in total

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