Neck posture monitoring system based on image detection and smartphone sensors using the prolonged usage classification concept

Worawat Lawanont, Masahiro Inoue, Pornchai Mongkolnam, Chakarida Nukoolkit

Research output: Contribution to journalArticle


Since the beginning of the smartphone era, the number of smartphone users has increased dramatically. Consequently, several aspects of their use have provoked concerns from researchers. From a health-related perspective, text neck syndrome is a consequence of excessive smartphone use. Therefore, we introduce a neck posture monitoring system to help prevent text neck syndrome in smartphone users. The system operates on smartphones using the embedded rotation vector sensors and the camera for image detection. Data from the sensors and camera are used to calculate the neck angle. The results of an experiment show that the calculation algorithm is not significantly different from the photogrammetric method, which was proposed earlier as a method to measure the neck angle from a side view image. In summary, we propose a system that includes the detection and classification of the user's neck posture to raise awareness and help promote better posture to prevent text neck syndrome among smartphone users.

Original languageEnglish
Pages (from-to)1501-1510
Number of pages10
JournalIEEJ Transactions on Electrical and Electronic Engineering
Issue number10
Publication statusPublished - 2018 Oct 1



  • classification
  • image detection
  • posture monitoring
  • smartphone usage
  • text neck

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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