References
- Q. Li, J.A.Stankovic, M.A. Hanson,A.T. Barth, J. Lach, and Z. Zhou, "Accurate, fast fall detection using gyroscopes and accelerometer-derived posture information," in Proceeding of Wearable and Implantable Body Sensor Networks, 2009, pp. 138-143, 2009.
- S.Wang, J. Yang, N. Chen, X. Chen, and Q. Zhang,"Human activity recognition with user-free accelerometers in the sensor networks," in Proceeding of the Neural Networks and Brain, 2005, vol.2, pp. 1212-1217, 2005.
- 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
- Woosik Lee, Teuk Seob Song and Jong-Hoon Youn "Detection of Fall Direction using a Velocity Vector in the Android Smartphone Environment," in J. Korea Inst. Inf. Commun. Eng. Vol. 19, No. 2 : 336-342 Feb. 2015 https://doi.org/10.6109/jkiice.2015.19.2.336
- Seong-Hyun Kim, Jin Park, Dong-Wook KIm and Nam-Gyun Kim "The Study of Realtime Fall Detection System with Accelerometer and Tilt Sensor," in Journal of the Korean Society for Precision Engineering Vol. 28, No. 11, pp. 1330-1338
- R.K. Jennifer, M.W. Gary, and A.M. Samuel, "Activity recognition using cell phone accelerometers," ACMSIGKDD Explorations Newslette, vol. 12, no. 2, pp.74-82, 2010.
- Falin Wu, Hengyang Zhao, Yan Zhao, and Haibo Zhong "Development of a Wearable-Sensor-Based Fall Detection System" Hindawi Publishing Corporation International Journal of Telemedicine and Applications Volume 2015, Article ID 576364, 11 pages
- Juan Cheng, Student Member, IEEE, Xiang Chen, Member, IEEE, and Minfen Shen "A Framework for Daily Activity Monitoring and Fall Detection Based on Surface Electromyography and Accelerometer Signals" IEEE Journal on Biomedical and Health Informatics, vol. 17, no. 1, pp. 38-45, 2013. https://doi.org/10.1109/TITB.2012.2226905