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Did you remember to brush?: a noninvasive wearable approach to recognizing brushing teeth for elderly care

Published: 23 May 2017 Publication History

Abstract

Failing to brush one's teeth regularly can have surprisingly serious health consequences, from periodontal disease to coronary heart disease to pancreatic cancer. This problem is especially worrying when caring for the elderly and/or individuals with dementia, as they often forget or are unable to perform standard health activities such as brushing their teeth, washing their hands, and taking medication. To ensure that such individuals are correctly looked after they are placed under the supervision of caretakers or family members, simultaneously limiting their independence and placing an immense burden on their family members and caretakers. To address this problem we developed a non-invasive wearable system based on a wrist-mounted accelerometer to accurately identify when a person brushed their teeth. We tested the efficacy of our system with a month-long in-the-wild study and achieved an accuracy of 94% and an F-measure of 0.82.

References

[1]
Davide Anguita, Alessandro Ghio, Luca Oneto, Xavier Parra, and Jorge L Reyes-Ortiz. 2012. Human activity recognition on smartphones using a multiclass hardware-friendly support vector machine. In Ambient assisted living and home care. Springer, 216--223.
[2]
American Dental Association. 2016. Brushing Your Teeth. http://www.mouthhealthy.org/en/az-topics/b/brushing-your-teeth (2016).
[3]
T Attin and E Hornecker. 2005. Tooth brushing and oral health: how frequently and when should tooth brushing be performed? Oral health & preventive dentistry 3, 3 (2005).
[4]
Ling Bao and Stephen S Intille. 2004. Activity recognition from user-annotated acceleration data. In Pervasive computing. Springer, 1--17.
[5]
Joey Bartley, Jonathon Forsyth, Prachi Pendse, Da Xin, Garrett Brown, Paul Hagseth, Ashish Agrawal, Daniel W Goldberg, and Tracy Hammond. 2013. World of workout: a contextual mobile RPG to encourage long term fitness. In Proceedings of the Second ACM SIGSPATIAL International Workshop on the Use of GIS in Public Health. ACM, 60--67.
[6]
Frank DeStefano, Robert F Anda, Henry S Kahn, David F Williamson, and Carl M Russell. 1993. Dental disease and risk of coronary heart disease and mortality. Bmj 306, 6879 (1993), 688--691.
[7]
Davide Figo, Pedro C Diniz, Diogo R Ferreira, and João MP Cardoso. 2010. Preprocessing techniques for context recognition from accelerometer data. Personal and Ubiquitous Computing 14, 7 (2010), 645--662.
[8]
Centers for Disease Control and Prevention. 2015. Handwashing: Clean Hands Save Lives, When & How to Wash Your Hands. http://www.cdc.gov/handwashing/when-how-handwashing.html (2015).
[9]
Susannah Fox and Maeve Duggan. 2013. Tracking for health. Pew Research Center's Internet & American Life Project.
[10]
Armin J Grau, Heiko Becher, Christoph M Ziegler, Christoph Lichy, Florian Buggle, Claudia Kaiser, Rainer Lutz, Stefan Bültmann, Michael Preusch, and Christof E Dörfer. 2004. Periodontal disease as a risk factor for ischemic stroke. Stroke 35, 2 (2004), 496--501.
[11]
Janet Griffiths and Vicki Jones. 2015. Tracking for health. Alzheimer's Society.
[12]
Mark Hall, Eibe Frank, Geoffrey Holmes, Bernhard Pfahringer, Peter Reutemann, and Ian H Witten. 2009. The WEKA data mining software: an update. ACM SIGKDD explorations newsletter 11, 1 (2009), 10--18.
[13]
Joyce Ho. 2005. Interruptions: using activity transitions to trigger proactive messages. Ph.D. Dissertation. Massachusetts Institute of Technology.
[14]
Yu-Jin Hong, Ig-Jae Kim, Sang Chul Ahn, and Hyoung-Gon Kim. 2010. Mobile health monitoring system based on activity recognition using accelerometer. Simulation Modelling Practice and Theory 18, 4 (2010), 446--455.
[15]
Tzu-Ping Kao, Che-Wei Lin, and Jeen-Shing Wang. 2009. Development of a portable activity detector for daily activity recognition. In Industrial Electronics, 2009. ISIE 2009. IEEE International Symposium on. IEEE, 115--120.
[16]
Jennifer R Kwapisz, Gary M Weiss, and Samuel A Moore. 2011. Activity recognition using cell phone accelerometers. ACM SigKDD Explorations Newsletter 12, 2 (2011), 74--82.
[17]
Jonathan Lester, Tanzeem Choudhury, and Gaetano Borriello. 2006. A practical approach to recognizing physical activities. In Pervasive Computing. Springer, 1--16.
[18]
Mara S Meyer, Kaumudi Joshipura, Edward Giovannucci, and Dominique S Michaud. 2008. A review of the relationship between tooth loss, periodontal disease, and cancer. Cancer Causes & Control 19, 9 (2008), 895--907.
[19]
Dominique S Michaud, Kaumudi Joshipura, Edward Giovannucci, and Charles S Fuchs. 2007. A prospective study of periodontal disease and pancreatic cancer in US male health professionals. Journal of the National Cancer Institute 99, 2 (2007), 171--175.
[20]
Cindy L Munro and Mary Jo Grap. 2004. Oral health and care in the intensive care unit: state of the science. American Journal of critical care 13, 1 (2004), 25--34.
[21]
Lars Osterberg and Terrence Blaschke. 2005. Adherence to medication. New England Journal of Medicine 353, 5 (2005), 487--497.
[22]
Poul Erik Petersen and Tatsuo Yamamoto. 2005. Improving the oral health of older people: the approach of the WHO Global Oral Health Programme. Community dentistry and oral epidemiology 33, 2 (2005), 81--92.
[23]
Janette C Rahamat-Langendoen, Marit GA van Vonderen, Lex J Engström, Willem L Manson, Arie Jan Van Winkelhoff, and Esther ANM Mooi-Kokenberg. 2011. Brain abscess associated with Aggregatibacter actinomycetemcomitans: case report and review of literature. Journal of clinical periodontology 38, 8 (2011), 702--706.
[24]
Vijay Rajanna, Folami Alamudun, Daniel Goldberg, and Tracy Hammond. 2015. Let Me Relax: Toward Automated Sedentary State Recognition and Ubiquitous Mental Wellness Solutions. In Proceedings of the 5th EAI International Conference on Wireless Mobile Communication and Healthcare (MOBIHEALTH'15). ICST, Brussels, Belgium, 28--33.
[25]
Vijay Rajanna, Raniero Lara-Garduno, Dev Jyoti Behera, Karthic Madanagopal, Daniel Goldberg, and Tracy Hammond. 2014. Step Up Life: A Context Aware Health Assistant. In Proceedings of the Third ACM SIGSPATIAL International Workshop on the Use of GIS in Public Health (HealthGIS '14). ACM, New York, NY, USA, 21--30.
[26]
Nishkam Ravi, Nikhil Dandekar, Preetham Mysore, and Michael L Littman. 2005. Activity recognition from accelerometer data. In AAAI, Vol. 5. 1541--1546.
[27]
Eduardo Sabaté. 2003. Adherence to long-term therapies: evidence for action. World Health Organization.
[28]
Aramesh Saremi, Robert G Nelson, Marshall Tulloch-Reid, Robert L Hanson, Maurice L Sievers, George W Taylor, Marc Shlossman, Peter H Bennett, Robert Genco, and William C Knowler. 2005. Periodontal disease and mortality in type 2 diabetes. Diabetes Care 28, 1 (2005), 27--32.
[29]
Pamela Sparks Stein, Michelle J Steffen, Charles Smith, Gregory Jicha, Jeffrey L Ebersole, Erin Abner, and Dolph Dawson. 2012. Serum antibodies to periodontal pathogens are a risk factor for AlzheimerâĂŹs disease. Alzheimer's & Dementia 8, 3 (2012), 196--203.
[30]
Emmanuel Munguia Tapia, Stephen S Intille, and Kent Larson. 2004. Activity recognition in the home using simple and ubiquitous sensors. Springer.
[31]
Edison Thomaz, Irfan Essa, and Gregory D Abowd. 2015. A practical approach for recognizing eating moments with wrist-mounted inertial sensing. In Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing. ACM, 1029--1040.
[32]
Gary M Weiss, Jessica L Timko, Catherine M Gallagher, Kenichi Yoneda, and Andrew J Schreiber. 2016. Smartwatch-based activity recognition: A machine learning approach. In 2016 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI). IEEE, 426--429.
[33]
Natalie Wilde, Katrin Hänsel, Hamed Haddadi, and Akram Alomainy. 2015. Wearable Computing for Health and Fitness: Exploring the Relationship between Data and Human Behaviour. arXiv preprint arXiv:1509.05238 (2015).

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PervasiveHealth '17: Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare
May 2017
503 pages
ISBN:9781450363631
DOI:10.1145/3154862
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 23 May 2017

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Author Tags

  1. activity recognition
  2. brushing teeth
  3. dementia
  4. elderly care
  5. intervention
  6. machine learning
  7. pervasive health
  8. wearable solution

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