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Sposaro, F. and Tyson, G. (2009) iFall: An Android Application for Fall Monitoring and Response. Proceedings of Annual International Conference of the IEEE Engineering in Medicine and Biology Society, In: Maxwell, J.C., A Treatise on Electricity and Magnetism, 3rd Edition, vol. 2. Clarendon, Oxford, 1892, 68-73.

has been cited by the following article:

  • TITLE: Smartphone Based Fall Detection and Logic Testing Application Using Android SDK

    AUTHORS: Vinay Kumar Suryadevara, Maher Rizkalla

    KEYWORDS: Accelerometer, Smartphone, Android, Embedded Systems, Wireless, Sensors

    JOURNAL NAME: Journal of Biomedical Science and Engineering, Vol.8 No.9, September 11, 2015

    ABSTRACT: Smart systems aimed at detecting the fall of a person have increased significantly due to recent technological advances and availability of modular electronics. This work presents the use of embedded accelerometer and gyroscope in mobile phones to accurately detect and classify the type of fall a person is experiencing before suffering an impact. Early classification of fall type helps in optimizing the algorithm of the fall detection. User acceptance, feasibility and the limitations in the accuracy of the existing devices have also been considered in this study. High efficiency and low power approaches were emphasized with wireless capability that enhanced the system performance for variety of applications. There is a need of reducing the time for analyzing the smart algorithms designed. It is also emphasized that this application will be a good platform that can be used to test various algorithms and multiple sensors at a time with ease and obtain data analysis in a short period.