• DocumentCode
    1727305
  • Title

    A new posture monitoring system for preventing physical illness of smartphone users

  • Author

    Lee, Hosub ; Lee, Sunjae ; Choi, Young Sang ; Youngwan Seo ; Eunsoo Shim

  • Author_Institution
    Intelligent Computing Laboratory, Future IT Research Center, Samsung Advanced Institute of Technology (SAIT), Samsung Electronics Co., Ltd. Nongseo-dong, Giheung-gu, Yongin-si, Gyeonggi-do, Korea 446-712
  • fYear
    2013
  • Firstpage
    713
  • Lastpage
    716
  • Abstract
    With the widespread use of smartphones, users tend to use their smartphone for a long period of time in unhealthy postures; bending forward the neck and watching the relatively small screen closely with concentration. If users keep such unhealthy postures for a long time, they are susceptible to musculoskeletal disorders and eye problems such as cervical disc and myopia, respectively. To prevent users from having these diseases, we propose a new methodology to monitor the posture of smartphone users with built-in sensors. The proposed mechanism estimates various values representing user postures like the tilt angle of the neck, viewing distance, and gaze condition of the user, by analyzing sensor data from a front-faced camera, 3-axis accelerometer, orientation sensor, or any combination thereof, and warns the user if estimated values are maintained within the abnormal range over the pre-defined time. As a proof of concept, we developed an Android application named Smart Pose which estimates the user´s neck tilt angle from analysis of the facial image, shakiness and tilt angle of the smartphone, and then notifies the user when her/his neck tilt angle is maintained in an unusual range during the smartphone operation. Also, we validated the result of our system by the comparison with measurements from 3D posture imaging equipment in our research facility. Via the proposed mechanism, a participant was able to be aware of his unhealthy postures, and then try to correct them.
  • Keywords
    Accelerometers; Atmospheric measurements; Face; Monitoring; Neck; Particle measurements; Sensors; Ergonomics; Eye Problems; Intelligent Interaction; Musculoskeletal Disorders; Posture Monitoring; Smartphone Sensors; User-centered Design;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Consumer Communications and Networking Conference (CCNC), 2013 IEEE
  • Conference_Location
    Las Vegas, NV
  • Print_ISBN
    978-1-4673-3131-9
  • Type

    conf

  • DOI
    10.1109/CCNC.2013.6488532
  • Filename
    6488532