Results 251 to 260 of about 11,090,884 (273)
Some of the next articles are maybe not open access.
Spatial-Temporal Feature Fusion for Human Fall Detection
2015When suddenly falling to the ground, elderly people can get seriously injured. This paper presents a vision-based fall detection approach by using a low-cost depth camera. The approach is based on a novel combination of three feature types: curvature scale space (CSS), morphological, and temporal features.
Xin Ma 0001 +3 more
openaire +2 more sources
Human Fall Detection in Surveillance Videos
2022 3rd International Conference for Emerging Technology (INCET), 2022Simran Jain, K. Sitara
openaire +1 more source
Vision-based human fall detection systems using deep learning: A review
Computers in Biology and Medicine, 2022Marco Leo, Ekram Alam, Abu Sufian
exaly
A Deep Learning Based Human Fall Detection Solution
Proceedings of the 15th International Conference on PErvasive Technologies Related to Assistive Environments, 2022Hamid Reza Tohidypour +3 more
openaire +2 more sources
A Three-Stage Low-Complexity Human Fall Detection Method Using IR-UWB Radar
IEEE Sensors Journal, 2022Zhaocheng Yang, Jialei Lai, Mengxia Chen
exaly
Research On Lightweight Human Fall Detection Method
2024 2nd International Conference on Computer, Vision and Intelligent Technology (ICCVIT)Xi Chen +3 more
openaire +2 more sources
Human Fall Detection in Surveillance Videos Using Fall Motion Vector Modeling
IEEE Sensors Journal, 2021Vishnu Chalavadi +2 more
exaly
Fall Detection Based on Key Points of Human-Skeleton Using OpenPose
Symmetry, 2020Zijie Jiang, Weiming Chen
exaly
Human Fall Detection using Multimodal Dataset
2025 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE)Hiral Sojitra +2 more
openaire +2 more sources