Acknowledgement
The author would like to express their cordial thanks to the deanship of scientific research at Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi Arabia.
References
- I. Figueiredo, C. Leal, L. Pinto, J. Bolito and A. Lemos, "Exploring smartphone sensors for fall detection", mUX: The Journal of Mobile User Experience, vol. 5, no. 1, pp. 2-9, 2016 https://doi.org/10.1186/s13678-016-0004-1
- Falls in the elderly Causes and prevention-Al Riyadh newspaper [Online]. Available: htp://www.alriyadh.com/882371. [Accessed: 04- Nov2016].
- J. Davis, M. Robertson, M. Ashe, T. Liu-Ambrose, K. Khan, and C. Marra, "International comparison of cost of falls in older adults living in the community: a systematic review," Osteoporosis International, vol. 21, no. 8, pp. 1295-1306, 2010. https://doi.org/10.1007/s00198-009-1162-0
- E. Stone and M. Skubic, "Fall Detection in Homes of Older Adults Using the Microsoft Kinect", IEEE Journal of Biomedical and Health Informatics, vol. 19, no. 1, pp. 290-301, 2015. https://doi.org/10.1109/JBHI.2014.2312180
- S. Sabrina Schnhart, "History of Algorithms", Cs-exhibitions.uni-klu.ac.at, 2016. [Online]. Available: http://cs-exhibitions.uni-klu.ac.at/index.php?id=193. [Accessed: 15- Dec- 2016].
- A. Iazzi, R. Thami and M. Rziza, "A novel approach to improve background subtraction method for fall detection system", in 2015 IEEE/ACS 12th International Conference of Computer Systems and Applications (AICCSA), 2015.
- C. Rougier, J. Meunier, A. St-Arnaud and J. Rousseau, "Robust Video Surveillance for Fall Detection Based on Human Shape Deformation", IEEE Transactions on Circuits and Systems for Video Technology, vol. 21, no. 5, pp. 611-622, 2011. https://doi.org/10.1109/TCSVT.2011.2129370
- E. Stone and M. Skubic, "Fall Detection in Homes of Older Adults Using the Microsoft Kinect", IEEE Journal of Biomedical and Health Informatics, vol. 19, no. 1, pp. 290-301, 2015. https://doi.org/10.1109/JBHI.2014.2312180
- A. Tang, C. Ong and A. Ahmad, "Fall Detection Sensor System for the Elderly", International Journal of Advanced Computer Research, vol. 5, no. 19, pp. 176-184, 2015
- "Arduino UNO", Arduino.org, 2016. [Online]. Available: http://www.arduino.org/products/boards/arduino-uno. [Accessed: 10- Dec- 2016].
- "Arduino - ArduinoGSMShield", Arduino.cc, 2016. [Online]. Available: https://www.arduino.cc/en/Main/ArduinoGSMShield. [Accessed: 10- Dec- 2016].
- A. Ozdemir and B. Barshan, "Detecting Falls with Wearable Sensors Using Machine Learning Techniques", Sensors, vol. 14, no. 6, pp. 10691-10708, 2014. https://doi.org/10.3390/s140610691
- "MTw Development Kit Lite - Products - Xsens 3D motion tracking", Xsens 3D motion tracking, 2016. [Online]. Available: https://www.xsens.com/products/mtwdevelopment-kit-lite/. [Accessed: 11- Dec- 2016].
- T. Vilarinho and B. Farshchian, "A Combined Smartphone and Smartwatch Fall Detection System", 2015 IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing, 2015.
- L. Schwickert, C. Becker, U. Lindeman, C. Mar'echal, a. Bourke,L. Chiari, J. L. Helbostad, W. Zijlstra, K. Aminian, C. Todd,S. Bandinelli, and J. Klenk, "Fall detection with body-worn sensors: a systematic review." Zeitschrift fur Gerontology und Geriatrie,vol. 46,no. 8, pp. 706-19, Dec. 2013. https://doi.org/10.1007/s00391-013-0559-8
- S. Abbate, M. Avvenuti, F. Bonatesta, G. Cola, P. Corsini and A. Vecchio, "A smartphone-based fall detection system", Pervasive and Mobile Computing, vol. 8, no. 6, pp. 883-899, 2012. https://doi.org/10.1016/j.pmcj.2012.08.003
- VO, Quang Viet; LEE, Gueesang; CHOI, Deokjai. Fall detection based on movement and smart phone technology. In: Computing and Communication Technologies, Research, Innovation, and Vision for the Future (RIVF), 2012 IEEE RIVF International Conference on. IEEE, 2012. p. 1-4.
- Z. Zhao, Y. Chen, S. Wang and Z. Chen, "FallAlarm: Smart Phone Based Fall Detecting and Positioning System", Procedia Computer Science, vol. 10, pp. 617-624, 2012. https://doi.org/10.1016/j.procs.2012.06.079
- H. Ketabdar and T. Polzehl, "Fall and emergency detection with mobile phones", in In Proceedings of the 11th international ACM SIGACCESS conference on Computers and accessibility, 2016, p. 2.
- "iOS Programming 101: How To Get the User Location in iPhone App", Appcoda.com, 2017. [Online]. Available: http://www.appcoda.com/how-to-get-current-locationiphone-user/. [Accessed: 14- Sep- 2017].
- D. [duplicate], "Dialing a phone number in Xcode", Stackoverflow.com, 2017. [Online]. Available: http://stackoverflow.com/questions/12219484/dialing-aphone-number-in-xcode. [Accessed: 19- Sep- 2017].
- D. down, "Detect if the Person falls down", Stackoverflow.com, 2017. [Online]. Available: http://stackoverflow.com/questions/8804227/detect-if-theperson-falls-down. [Accessed: 06- Sep- 2017].
- D. bumped, "Detect when an iphone has been bumped", Stackoverflow.com, 2017. [Online]. Available: http://stackoverflow.com/questions/6937867/detect-when-an-iphone-has-been-bumped. [Accessed: 06- Sep- 2017].
- J. Hoffman, "iOS Programming Recipe 19: Using Core Motion to Access Gyro and Accelerometer", NSCookbook.com, 2017. [Online]. Available: http://nscookbook.com/2013/03/ios-programming-recipe19-using-core-motion-to-access-gyro-and-accelerometer/. [Accessed: 06- Sep- 2017].
- Cdn.intechopen.com, 2017. [Online]. Available: http://cdn.intechopen.com/pdfs-wm/12472.pdf. [Accessed: 08- Sep- 2017].
- G. T. Tsenov and V. M. Mladenov, "Speech recognition using neural networks," in 0th Symposium on Neural Network Applications in Electrical Engineering, Belgrade, Serbia, 2010.
- W. Zhang, C. Xiaodong , F. Ulrich , K. Brian , S. George , K. David and P. Michael , "Distributed Deep Learning Strategies for Automatic Speech Recognition," in ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Brighton, UK, 2019.
- P. M. Mohamad and F. Fardad, "An Advanced Method for Speech Recognition," in Engineering and Technology:World Academy of Science, 2009.