872 IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, VOL. 59, NO. 3, MARCH 2012
Toothbrushing Region Detection Using Three-Axis
Accelerometer and Magnetic Sensor
Young-Jae Lee, Student Member, IEEE, Pil-Jae Lee, Kyeong-Seop Kim, Wonse Park, Kee-Deog Kim,
Dosik Hwang, and Jeong-Whan Lee*, Member, IEEE
Abstract—Due to the possible occurrence of periodontal disease
at an early age, it is important to have proper toothbrushing habits
as early as possible. With this aim, the feasibility and concept of
a smart toothbrush (ST) capable of tracing toothbrushing motion
and orientation information was suggested. In this study, we pro-
posed the advanced ST system and brushing region classification
algorithm. In order to trace the brushing region and the orientation
of a toothbrush in the mouth, we required the absolute coordinate
information of ST. By using tilt-compensated azimuth (heading)
algorithm, we found the inclination and orientation information
of the toothbrush, and the orientation information while brushing
inner tooth surfaces showed specific heading features that could
be reliably discriminated from other brushing patterns. In order
to evaluate the feasibility of clinical usage of the proposed ST, 16
brushing regions were investigated by 15 individual healthy sub-
jects. The proposed ST system demonstrated 97.1%(±0.91) of the
region detection accuracy and 15 brushing regions could be classi-
fied. This study also showed that the proposed ST system may be
helpful for dental care personnel in patient education and instruc-
tion for oral hygiene regarding brushing habits.
Index Terms—Accelerometer, magnetic sensor, oral hygiene,
pattern classification, toothbrush, toothbrushing patterns, tooth-
brushing regions.
I. INTRODUCTION
R
ECENTLY, ubiquitous or pervasive healthcare [1] has
emerged as a solution to handle the crisis in the health-
care industry, including skyrocketing costs, a growing incident
of medical errors, and the lack of insurance coverage in rural
and underserved urban areas. Now, those within the healthcare
Manuscript received June 5, 2011; revised September 5, 2011, and Octo-
ber 26, 2011; accepted November 27, 2011. Date of publication December 22,
2011; date of current version February 17, 2012. This work was supported by
the National Research Foundation of Korea funded by the Korea government
(MEST) under Grant 2010-0027674. Asterisk indicates corresponding author.
Y. J. Lee, P. J. Lee, and K. S. Kim are with the School of Biomedical
Engineering, College of Biomedical & Health Science, Konkuk University,
Chung-Ju 143-701, Korea (e-mail: zetzlyj@gmail.com; 4265623@naver.com;
kyeong@kku.ac.kr).
W. Park and K. D. Kim are with the Department of Advanced General Den-
tistry, College of Dentistry, Yonsei University, Seoul 120-752, Korea (e-mail:
wonse@yuhs.ac; kdkim@yuhs.ac).
D. Hwang is with the School of Electrical and Electronic Engineering, Yonsei
University, Seoul 120-749, Korea (e-mail: dosik.hwang@yonsei.ac.kr).
*J. W. Lee is with the School of Biomedical Engineering, College of Biomed-
ical & Health Science, Research Institute of Biomedical Engineering, Konkuk
University, Chung-Ju 143-701, Korea (e-mail: jwlee95@kku.ac.kr).
Color versions of one or more of the figures in this paper are available online
at http://ieeexplore.ieee.org.
Digital Object Identifier 10.1109/TBME.2011.2181369
industry are under increasing pressure to provide better service
to more people using limited financial and human resources.
Based on these trends, healthcare technologies are now evolv-
ing to reduce long-term healthcare costs and improve quality of
life [2].
Among various diseases depending on lifestyle, gingivitis
and tooth decay are diseases, which require preventive mea-
sures and techniques. Nevertheless, even in the adult, inadequate
toothbrushing styles can cause dental problems such as chronic
gingivitis, gum disease, and so forth. There have been many
convenient and automatic electronic toothbrushes available in
the market; however, there are some skeptical points regarding
efficacy and safety of electronic toothbrushes [3]. Recent studies
showed that toothbrushing forces [4]–[9] did not provide effec-
tive and qualitative ways of evaluating brushing styles such as
motions of the brush head and the minimal duration of brush-
ing, where it should be done, and so on. Therefore, it would be
beneficial to the community in terms of both healthcare and eco-
nomics if we could prevent dental health from deteriorating into
worse conditions in the early stages. Improvement in educating
society about dental health would reduce healthcare costs and
improve quality of life.
The concept of a smart toothbrush (ST) system capable of
tracing brushing motion with respect to the dental arches was
first proposed and described [10], [11]. From these preliminary
studies, we found that the orientation of toothbrush provides
distinguishable information such as the roll and heading an-
gles of the toothbrush. The most important problem was the
absolute heading information of the toothbrush with respect to
a bust mirror in front of the examinee [11]. Even though we
might restrict a rotational movement of the head, the location
and the orientation of the human body while brushing one’s
teeth are unpredictable. Thus, we need to estimate the abso-
lute heading information of toothbrush. This kind of problem
was well defined and explored in navigational devices in the
telematics.
The heading (azimuth) angle is defined as the angle between
the North Pole and the direction of movement. Estimation of
heading angle could be found in gyrocompassing [12], [13],
GPS application [14], and magnetometry using a magnetic com-
pass [15], [16]. Also, if we used gyro sensor for calculating the
azimuth angle, the initial azimuth value and the gyro bias prob-
lem would impose another complexity in our application. There-
fore, if a two-axis magnetic sensor is placed on the horizontal
plane, which is parallel with the Earth’s surface, the heading
angle of the ST could be calculated accurately. Otherwise, a tilt
error in the heading angle would be introduced.
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