TY - GEN
T1 - An Alarm System Based on BP Neural Network Algorithm for the Detection of Falls to Elderly Person
AU - Chen, Wenhui
AU - Wang, Xueming
AU - Chen, Junfei
AU - Ding, Zhiyong
AU - Li, Jianying
AU - Li, Bo
N1 - Publisher Copyright:
© 2021, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.
PY - 2021
Y1 - 2021
N2 - With the increase in the elderly population, people pay more and more attention to the harm caused by falls. When people reach old age, various functions of the body will degrade to a certain extent. If the elderly fall down, it may endanger their physical and mental health. In view of the above problems, this system designed a elderly fall detection and alarm system based on the reverse neural network algorithm, specifically using MPU6050 sensor to detect human posture data, the control module using the algorithm for real-time judgment, if the fall behavior, the control alarm module to send alarm messages. This system can be used in nursing home health monitoring system, intelligent home system in the detection subsystem and other intelligent medical aspects, can be used in various aspects to protect the health of the elderly, reduce the risk of accidental injury.
AB - With the increase in the elderly population, people pay more and more attention to the harm caused by falls. When people reach old age, various functions of the body will degrade to a certain extent. If the elderly fall down, it may endanger their physical and mental health. In view of the above problems, this system designed a elderly fall detection and alarm system based on the reverse neural network algorithm, specifically using MPU6050 sensor to detect human posture data, the control module using the algorithm for real-time judgment, if the fall behavior, the control alarm module to send alarm messages. This system can be used in nursing home health monitoring system, intelligent home system in the detection subsystem and other intelligent medical aspects, can be used in various aspects to protect the health of the elderly, reduce the risk of accidental injury.
KW - BP neural network
KW - Falls in older people
KW - MPU6050 sensor
KW - Wisdom care
UR - http://www.scopus.com/inward/record.url?scp=85101315016&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-67514-1_45
DO - 10.1007/978-3-030-67514-1_45
M3 - 会议稿件
AN - SCOPUS:85101315016
SN - 9783030675134
T3 - Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
SP - 571
EP - 581
BT - IoT as a Service - 6th EAI International Conference, IoTaaS 2020, Proceedings
A2 - Li, Bo
A2 - Li, Changle
A2 - Yang, Mao
A2 - Yan, Zhongjiang
A2 - Zheng, Jie
PB - Springer Science and Business Media Deutschland GmbH
T2 - 6th EAI International Conference on IoT as a Service, IoTaaS 2020
Y2 - 19 November 2020 through 20 November 2020
ER -
