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Dai, J., Bai, X., Yang, Z., Shen, Z. and Xuan, D. (2010) Mobile Phone-Based Pervasive Fall Detection. Personal and Ubiquitous Computing, 14, 633-643.
https://doi.org/10.1007/s00779-010-0292-x

has been cited by the following article:

• TITLE: Smartphone Based Cervical Spine Stress Prevention

  AUTHORS: Harsh Gupta

  KEYWORDS: Cervical Spine, Android, Posture, Accelerometer, Sensors

  JOURNAL NAME: Journal of Software Engineering and Applications, Vol.11 No.2, February 13, 2018

  ABSTRACT: Rapidly increasing smartphone usage has resulted in an increasingly adverse impact on the health of people. Cervical Spine Stress and the risk of Thoracic Kyphosis have been accentuated due to inappropriate posture. Existing efforts to solve this problem require the use of expensive wearable devices or can only be implemented on selected smartphones. This paper has proposed a novel posture detecting mechanism which does not require any external devices and can be implemented inexpensively on all smartphones. The solution has utilized the built-in 3-dimensional accelerometer of the smartphone and provided an Android Operating System-based application as a proof of concept that determines the Cervical Spine posture and generates ALERTS when necessary. In addition, data of the posture could be displayed in form of graphs to make the user aware of his or her posture trend throughout the week. The application can be extended to different operating systems.