Research Article
Constructing a Violence Recognition Technique for Elderly Patients with Lower Limb Disability
@INPROCEEDINGS{10.1007/978-3-031-20398-5_3, author={Lun-Ping Hung and Chih-Wei Yang and Li-Hui Lee and Chien-Liang Chen}, title={Constructing a Violence Recognition Technique for Elderly Patients with Lower Limb Disability}, proceedings={Smart Grid and Internet of Things. 5th EAI International Conference, SGIoT 2021, Virtual Event, December 18-19, 2021, Proceedings}, proceedings_a={SGIOT}, year={2022}, month={11}, keywords={Elder abuse Violence detection OpenPose Home care}, doi={10.1007/978-3-031-20398-5_3} }- Lun-Ping Hung
Chih-Wei Yang
Li-Hui Lee
Chien-Liang Chen
Year: 2022
Constructing a Violence Recognition Technique for Elderly Patients with Lower Limb Disability
SGIOT
Springer
DOI: 10.1007/978-3-031-20398-5_3
Abstract
Elder abuse has been recognized as an important public health problem, and will become increasingly serious as the world's population ages. Therefore, the first problem that needs to be solved is the detection of the incident by the outside world. This study proposes a real-time abuse detection method based on OpenPose, an open source human posture tracking technology. By extracting the posture information of people in the care field, we can further analyze the posture status and mutual position, as well as the changes of current and previous movements, and determine whether there are abuse events in the field. This design allows the family to be notified in case of suspected abuse to protect the rights of the elderly from being violated.
