Smart Toothbrushes: Inertial Measurement Sensors Fusion with Visual Tracking
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- 关键词：Dental care ; Target tracking ; Toothbrushing analysis
- 刊名：Lecture Notes in Computer Science
- 出版年：2016
- 出版时间：2016
- 年：2016
- 卷：9914
- 期：1
- 页码：480-494
- 全文大小：1,642 KB
- 参考文献：1.3DFlow: Lapyx, a free software that extracts the typical intrinsics camera parameters. http://www.3dflow.net/technology/
2.Allen, C., Hunsley, N., Macgregor, I.: An instrument for measuring toothbrushing force using PIC microcontroller technology, pp. 861–866 (1995)
3.Asadoorian, J.: CDHA position paper on tooth brushing. Can. J. Dent. Hyg. 40(5), 232–248 (2006)
4.Beam: Beam technologies inc. (2016). https://beam.dental/tech/
5.Chang, Y.C., Lo, J.L., Huan, C.J., Hsu, N.Y., Chu, H.H., Wang, H.Y., Pei-Yu, C., Hsieh, Y.L.: Playful toothbrush: ubicomp technology for teaching tooth brushing to kindergarten children. In: ACM CHI, pp. 363–372. ACM (2008)
6.Diniz, P., da Silva, E., Netto, S.: Digital Signal Processing: System Analysis and Design. Cambridge University Press, Cambridge (2010)CrossRef MATH
7.Flagg, A., Boger, J., Mihaidilis, A.: An intelligent toothbrush: machines for smart brushing. In: Proceedings of RESNA/ICTA (2011)
8.Hartley, R.I., Zisserman, A.: Multiple View Geometry in Computer Vision, 2nd edn. Cambridge University Press (2004). ISBN: 0521540518
9.Haykin, S.: Neural Networks and Learning Machines, vol. 10. Prentice Hall, New York (2009)
10.Kim, K.S., Yoon, T.H., Lee, J.W., Kim, D.J.: Interactive toothbrushing education by a smart toothbrush system via 3D visualization. Comput. Meth. Programs Biomed. 96(2), 125–132 (2009)CrossRef
11.Kolibree: Kolibree toothbrush (2014). http://kolibree.com/en/
12.Lee, Y.J., Lee, P.J., Kim, K.S., Park, W., Kim, K.D., Hwang, D., Lee, J.W.: Toothbrushing region detection using three-axis accelerometer and magnetic sensor. IEEE Trans. Biomed. Eng. 59(3), 872–881 (2012)CrossRef
13.Marcon, M., Sarti, A., Tubaro, S.: Toothbrush motion analysis to help children learn proper tooth brushing. Comput. Vis. Image Underst. 148, 34–45 (2016). http://dx.doi.org/10.1016/j.cviu.2016.03.009
14.MATLAB: Neural network toolbox release 2016a, the mathworks, inc., natick, massachusetts, united states
15.Mosby, A.D.: Mosby’s Medical Dictionary. 9th edn. Elsevier, Maryland Heights (2009)
16.Nassar, P.O., Bombardelli, C.G., Walker, C.S., Neves, K.V., Tonet, K., Nishi, R.N., Bombonatti, R., Nassar, C.A.: Periodontal evaluation of different toothbrushing techniques in patients with fixed orthodontic appliances. Dent. Press J. Orthod. 18(1), 76–80 (2013)CrossRef
17.Oral-B: Oral-b pro 5000 smartseries with bluetooth connectivity (2014). http://www.oralb.com/products/pro-5000-electric-toothbrush-with-smartguide-bluetooth/
18.Prophix: Prohix smart toothbrush by onvi, llc. (2016). https://www.getprophix.com/
19.STMicroelectronics: G-module, an inertial and environmental sensor module for iot. http://www.st.com/
20.TAOClean: Aura clean system - sonic toothbrush & cleaning station. http://www.taoclean.com/ - 作者单位：Marco Marcon (15)
Augusto Sarti (15)
Stefano Tubaro (15)
15. Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Piazza Leonardo da Vinci, 32, 20133, Milano, Italy - 丛书名：Computer Vision – ECCV 2016 Workshops
- ISBN：978-3-319-48881-3
- 刊物类别：Computer Science
- 刊物主题：Artificial Intelligence and Robotics
Computer Communication Networks
Software Engineering
Data Encryption
Database Management
Computation by Abstract Devices
Algorithm Analysis and Problem Complexity - 出版者：Springer Berlin / Heidelberg
- ISSN：1611-3349
- 卷排序：9914
文摘
A proper toothbrushing is a crucial aspect to preserve person’s dental health. Furthermore different brushing techniques have been defined for kids, adults and people with different dental appliances, prostheses, partial dentures or oral pathologies. In order to provide a real-time feedback to the user there are, mainly, two approaches: the first one is based on intelligent toothbrushes (called smart toothbrushes) where Inertial Measurement Units, bristles pressure sensor, and also cameras are placed on the toothbrush; data acquired is then transmitted and processed on a smartphone or tablet that monitor the user’s habit and provide him/her with brushing statistics together with suggestions to tune brushing timing and technique. The second approach simplifies the toothbrush device transferring the computational efforts to the handheld device: from the onboard camera it has to track both user’s face and toothbrush in order to extract brushing parameters. In this paper we compare the two approaches concluding that only a fusion of their data can produce an all-around exhaustive analysis of the tooth brushing technique.