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

研究成果: Article

抜粋

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.

元の言語English
ページ(範囲)1501-1510
ページ数10
ジャーナルIEEJ Transactions on Electrical and Electronic Engineering
13
発行部数10
DOI
出版物ステータスPublished - 2018 10

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

フィンガープリント Neck posture monitoring system based on image detection and smartphone sensors using the prolonged usage classification concept' の研究トピックを掘り下げます。これらはともに一意のフィンガープリントを構成します。

  • これを引用