• DocumentCode
    1820161
  • Title

    Smartphone posture monitoring system to prevent unhealthy neck postures

  • Author

    Lawanont, Worawat ; Mongkolnam, Pornchai ; Nukoolkit, Chakarida

  • Author_Institution
    Sch. of Inf. Technol., King Mongkut´s Univ. of Technol. Thonburi, Bangkok, Thailand
  • fYear
    2015
  • fDate
    22-24 July 2015
  • Firstpage
    331
  • Lastpage
    336
  • Abstract
    A rapid growth of smartphone devices in consumer market is undeniable. However, this growth definitely comes with causes. In terms of health, it has changed consumers´ daily life behavior, as people tend to use more smartphones, and some of them are considered as smartphone addicted. With people using smartphones in longer period, this could easily become unhealthy for them. The neck pain is one of the syndromes caused by the prolonged use of the smartphones, as bad neck posture would mean more weight is seen by the spine. To prevent and promote better neck posture for smartphone users, we propose a system to monitor, alert, and summarize the neck angle of the user while using smartphone. The proposed system will monitor user´s neck angle based on the combination of smartphone sensors and image detection technique. Moreover, the system will provide alert to the user if the position is in an unhealthy one for a certain period, and also will provide the user with a summarization of the time period. The experiment results of our proof of concept also had shown that our algorithm was feasible. An average neck angle determination in each setting was still within 5 degrees of the actual neck angle and the standard deviation is lower than 4 degrees in all cases.
  • Keywords
    bone; face recognition; human factors; image sensors; smart phones; consumer daily-life behavior; image detection technique; neck angle alert; neck angle monitoring; neck angle summarization; smart phone devices; smart phone sensors; smart phone user posture monitoring system; spine; standard deviation; time period summarization; unhealthy neck posture prevention; unhealthy position; Face; Feature extraction; Monitoring; Neck; Sensors; Smart phones; Standards;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Software Engineering (JCSSE), 2015 12th International Joint Conference on
  • Conference_Location
    Songkhla
  • Type

    conf

  • DOI
    10.1109/JCSSE.2015.7219819
  • Filename
    7219819