Advanced SearchSearch Tips
Implementation of Fall Direction Detector using a Single Gyroscope
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
 Title & Authors
Implementation of Fall Direction Detector using a Single Gyroscope
Moon, Byung-Hyun; Ryu, Jeong Tak;
  PDF(new window)
Falling situations are extremely critical events for the elderly person who requires timely and adequate emergency service. For the case of emergency, the information of falling and its direction can be used as an important information for the first aid treatment of the injured person. In this paper, a falling detection system which can pinpoint the falling event with the falling direction is implemented. In order to detect the fall situation, a single gyroscope (MPU-6050) is used in the developed system. The fall detection algorithm that can classify 8 different fall directions such as front, back, left, right and in between falls is proposed. The direction of the fall is decided by examining the acceleration values of X and Y directions of the sensor. It is shown that the proposed algorithm successfully detects the falling event and the falling direction with probability of 97% for a selected value of acceleration threshold.
Fall direction detection algorithm;Gyroscope;
 Cited by
P. Pierleoni et. al., "A High Reliability Wearable Device for Elderly Fall Detection", IEEE Sensors Journal, Vol. 15, No. 8, pp. 4544-4553, 2015. crossref(new window)

F. Bianchi et. al., "Barometric Pressure and Triaxial Accelerometry-Based Falls Event Detection", IEEE Trans. on Neural Systems and Rehabilitation Engineering, Vol. 18, No.6, pp. 619-627, 2010. crossref(new window)

P. Kostopoulos et. al., "F2D: A Fall Detection System Tested with Real Data from Daily Life of Elderly People", 17th Internatioal Conference of E-health Networking, Application & services (HealthCom) , pp. 397-403, 2015.

Nitha V.P and Sukesh K. A, "Design of a Telemonitoring System for Detecting Falls fo the Elderly", 2015 ICGCIoT, pp. 800-803, 2015.

W.J. Lee et. al., "Design flow of Wearable Heart Monitoring and Fall Detection System using Wireless Intelligent Personal Communication Node", IEEE International Conference on Electro/ Information Technology (EIT) , pp. 314-319, 2015.

H. Gjoreski, M. Lustrek and M. Gams, "Accelerometer Placement for Posture Recognition and Fall Detection," 7th international Conference of Intelligent Environment, pp. 47-54, 2011.

Y. Hou, N. Li and Z. Huang, " Triaxial Accelerometer-Based Real Time Fall Event Detection", 2012 International Conference on Informaion Society(i-Society), pp. 386-390, 2012.