Results 21 to 30 of about 1,144,100 (291)
Millimeter-Wave Radar-Based Elderly Fall Detection Fed by One-Dimensional Point Cloud and Doppler
IEEE Access, 2023 This paper presents an elderly fall detection technique fed by one-dimensional (1-D) point cloud and doppler velocity. In the proposed technique, the long short-term memory (LSTM) network is created and then employed as an intelligent classifier of fall ...
Chainarong Kittiyanpunya +3 more
doaj +1 more source
IEEE Access, 2023 In the elderly population, falls are one of the leading causes of fatal and non-fatal injuries. Fall detection and early alarms play an important role in mitigating the negative effects of falls, especially given the growing proportion of the elderly ...
Van-Ha Hoang +3 more
doaj +1 more source
Fall Detection using Human Skeleton Features [PDF]
IET Conference Proceedings, 2021 Falls is one of the leading causes of death and serious injury in people, especially the elderly. In addition, the falls accidents have a direct financial cost for health systems and, indirectly, for the productivity of society. Among the most important problems in fall detection systems is privacy, limitations of operating devices, and the comparison ...
Ramirez, Heilym +5 more
openaire +3 more sources
A smart vision sensor for detecting risk factors of a toddler's fall in a home environment [PDF]
, 2007 This paper presents a smart vision sensor for detecting risk factors of a toddler's fall in an indoor home environment assisting parents' supervision to prevent fall injuries.
Na, H, Qin, SF, Wright, D
core +2 more sources
Fall Detection Using Multimodal Data
, 2022 12 pages, 5 figures, 6 ...
Ha, Thao V. +4 more
openaire +2 more sources
Vision-Based Fall Detection With Multi-Task Hourglass Convolutional Auto-Encoder
IEEE Access, 2020 Fall detection is a hot research issue in intelligent video surveillance. Falls can generate physical and psychological damage, especially for the elderly.
Xi Cai, Suyuan Li, Xinyue Liu, Guang Han
doaj +1 more source
Latest Research Trends in Fall Detection and Prevention Using Machine Learning: A Systematic Review
Sensors, 2021 Falls are unusual actions that cause a significant health risk among older people. The growing percentage of people of old age requires urgent development of fall detection and prevention systems.
Sara Usmani +4 more
doaj +1 more source
Peak Detection Enhancement in Autonomous Wearable Fall Detection [PDF]
, 2020 International Conference on Intelligent Systems Design and Applications (ISDA) (19th. 2019. Online) Fall Detection (FD) has drawn the attention of the research community for several years. A possible solution relies on on-wrist wear- able devices including tri-axial accelerometers performing FD autonomously.
Villar, Mario +1 more
openaire +2 more sources
BioMedical Engineering OnLine, 2016 Pre-impact fall detection has been proposed to be an effective fall prevention strategy. In particular, it can help activate on-demand fall injury prevention systems (e.g. inflatable hip protectors) prior to fall impacts, and thus directly prevent the fall-related physical injuries.
Hu, Xinyao, Qu, Xingda
openaire +2 more sources
Matching pursuit-based compressive sensing in a wearable biomedical accelerometer fall diagnosis device [PDF]
, 2017 There is a significant high fall risk population, where individuals are susceptible to frequent falls and obtaining significant injury, where quick medical response and fall information are critical to providing efficient aid.
Amira, Abbes +4 more
core +3 more sources