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TongueDx: a tongue diagnosis for health care on smartphones

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Published:07 March 2014Publication History

ABSTRACT

On the TongueDx system, users can keep track of their health condition by recording the color of tongue coating and body on smartphones. In fact, our system uses tongue diagnosis techniques originated from Traditional Chinese Medicine (TCM) theories. In the theories, tongue symptom as one of the important diagnosing indicators can tell the health of human body. To avoid color error affected by surrounding light, a tongue color calibration by using teeth color is proposed to adjust white balance of the tongue picture. K-means algorithm is used to separate tongue coating from body. From the line graph of tongue coating and body color displayed on smartphones, people can know their health conditions timely. We have evaluated the TongueDx performance for one month in the preliminary user experience.

References

  1. Backgrounder Traditional Chinese Medicine, National Center for Complementary and Alternative Medicine (NCCAM), National Institute of Health, USA, D428 (2013).Google ScholarGoogle Scholar
  2. Xu Jiatuo, Zhou Changle, Fang Zhaoqin, Zhang Zhifeng, Wang Zhiguo, Sun Yang: Computerized Analysis and Recognition of Tongue and Its Coating Color in Tongue Diagnosis, Shanghai Chinese Medicine University, Vol. 18, No. 3, pp.43--47, Sep. 2004.Google ScholarGoogle Scholar

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      • Published in

        cover image ACM Other conferences
        AH '14: Proceedings of the 5th Augmented Human International Conference
        March 2014
        249 pages
        ISBN:9781450327619
        DOI:10.1145/2582051

        Copyright © 2014 Owner/Author

        Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 7 March 2014

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        Overall Acceptance Rate121of306submissions,40%

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