TY - JOUR
T1 - A study on a fall detection monitoring system for falling elderly using open source hardware
AU - Choi, Seunghyun
AU - Youm, Sekyoung
N1 - Publisher Copyright:
© 2017, Springer Science+Business Media, LLC, part of Springer Nature.
PY - 2019/10/1
Y1 - 2019/10/1
N2 - Due to the rapid increase in the elderly population and single-person households, it is absolutely necessary to observe the indoor activities of marginalized people, such as the elderly or the disabled, to detect abnormal conditions. At this time, contact sensors are have limited applicability due to their continuous wear, so there is a need to develop technology to collect daily life activities of the elderly. In this study, we tried to track the elderly living alone using images obtained from an open source camera. The system captures images by linking a low-cost camera module to open source hardware, and an algorithm is implemented to detect falls. This system can be used to reduce the cost of social care by improving the cost of care in the aging population, and this will contribute to promoting and developing management prescription guidelines through risk detection.
AB - Due to the rapid increase in the elderly population and single-person households, it is absolutely necessary to observe the indoor activities of marginalized people, such as the elderly or the disabled, to detect abnormal conditions. At this time, contact sensors are have limited applicability due to their continuous wear, so there is a need to develop technology to collect daily life activities of the elderly. In this study, we tried to track the elderly living alone using images obtained from an open source camera. The system captures images by linking a low-cost camera module to open source hardware, and an algorithm is implemented to detect falls. This system can be used to reduce the cost of social care by improving the cost of care in the aging population, and this will contribute to promoting and developing management prescription guidelines through risk detection.
KW - Elder
KW - Fall detection
KW - Monitoring
KW - Open source hardware
UR - http://www.scopus.com/inward/record.url?scp=85038086118&partnerID=8YFLogxK
U2 - 10.1007/s11042-017-5452-9
DO - 10.1007/s11042-017-5452-9
M3 - Article
AN - SCOPUS:85038086118
SN - 1380-7501
VL - 78
SP - 28423
EP - 28434
JO - Multimedia Tools and Applications
JF - Multimedia Tools and Applications
IS - 20
ER -