A Method with Triaxial Acceleration Sensor for Fall Detection of the Elderly in Daily Activities
Falls are one of the major risks which the elderly people face. Recently, due to the demands for guardianship of physical functions, the device to detect falls automatically is urgently needed. This study was focused on the method of fall detection and the wireless device based on a triaxial acceleration sensor. To evaluate the performance, experiments were conducted on fall, squat, stand up and walk. The device was also set in three body positions (head, shoulder and belly) to get fall signals compared. It is considered that the difference between valley and peak of the acceleration on z axis can be used to detect falls as an obvious feature. If it’s higher than 0.5V, it can be concluded that the person has a fall occurrence. The device is expected to be useful to detect falls of the elderly as healthcare equipment.
KeywordsFall Detection 3D Acceleration Sensor Wireless Detection Device Different Body Positions the Elderly
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- 2.Kochera: Falls Among Older Persons and the Role of the Home: an Analysis of Cost, Incidence, and Potential Savings from Home Modification. AARP Public Policy Institute (2002)Google Scholar
- 4.Bourke, A.K., et al.: Evaluation of Waist-Mounted Tri-axial Accelerometer Based Fall-Detection Algorithms During Scripted and Continuous Unscripted Activities. Journal of Biomechanics 10.1016 (2010)Google Scholar
- 5.Bourke, A.K., van de Ven, P.W.J., Chaya, A., OLaighin, G., Nelson, J.: Design and Test of a Long-term Fall Detection System Incorporated into a Custom Vest for the Elderly. In: IET Irish Signals and Systems Conference, vol. 10.1049 (2008)Google Scholar
- 6.Dai, J., Bai, X., Yang, Z., Shen, Z., Xuan, D.: Mobile Phone-based Pervasive Fall Detection. Pers Ubiquit Comput. 10.1007 (2010)Google Scholar
- 8.Bourke, A.K., O’Donovan, K.J., Olaighin, G.: The Identification of Vertical Velocity Profiles Using an Inertial Sensor to Investigate Pre-impact Detection of Falls. Medical Engineering Physics 10.1016 (2007)Google Scholar
- 9.Benocci, M., Tacconi, C., et al.: Accelerometer-based Fall Detection Using Optimized ZigBee Data Streaming. Microelectronics Journal 10.1016 (2010)Google Scholar
- 10.Nyan, M.N., Tay, F.E.H., Murugasu, E.: A Wearable System for Pre-impact Fall Detection. Journal of Biomechanics 10.1016 (2008)Google Scholar
- 11.Jung, J.Y., Lee, J.W.: Improved ZigBee Connection Method for Healthcare Device. In: 2006 International Conference on Hybrid Information Technology (2006)Google Scholar