TY - JOUR
T1 - Fall detection based on accelerometer and gyroscope using back propagation
AU - Jefiza, Adlian
AU - Pramunanto, Eko
AU - Boedinoegroho, Hanny
AU - Purnomo, Mauridhy Heri
PY - 2017/9
Y1 - 2017/9
N2 - Falling is an external aspect that can lead to death for the elderly. With so many activities they can do will increase the likelihood of falling. A fall detection device is designed to minimize post-fall risk. An MPU6050 sensor with 3 axis accelerometer and 3 gyroscope axis is used to detect the activities of the elderly. This research is expected to recognize the falling forward movement, falling aside, falling backward, sitting, sleeping, squatting, upstairs, down stairs and praying. The total data in the test is 80 data per movement of 16 participants. Backpropagation method is used for motion recognition. The recognition of this movement is based on 10 input variables from the accelerometer sensor data and gyroscope sensor. The result of this study, the error value calculated by using the formula Sum Square Error of all movements, is 0.1818 with ROC accuracy of 98.182%
AB - Falling is an external aspect that can lead to death for the elderly. With so many activities they can do will increase the likelihood of falling. A fall detection device is designed to minimize post-fall risk. An MPU6050 sensor with 3 axis accelerometer and 3 gyroscope axis is used to detect the activities of the elderly. This research is expected to recognize the falling forward movement, falling aside, falling backward, sitting, sleeping, squatting, upstairs, down stairs and praying. The total data in the test is 80 data per movement of 16 participants. Backpropagation method is used for motion recognition. The recognition of this movement is based on 10 input variables from the accelerometer sensor data and gyroscope sensor. The result of this study, the error value calculated by using the formula Sum Square Error of all movements, is 0.1818 with ROC accuracy of 98.182%
KW - Accelerometer
KW - Backpropagation
KW - Fall Detection
KW - Gyroscope
UR - http://www.scopus.com/inward/record.url?scp=85044847948&partnerID=8YFLogxK
U2 - 10.11591/eecsi.4.1079
DO - 10.11591/eecsi.4.1079
M3 - Article
AN - SCOPUS:85044847948
SN - 2407-439X
VL - 4
SP - 418
EP - 423
JO - International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)
JF - International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)
ER -