Search Results - "Fall detection algorithm"

SDN-YOLO: Research on the Fall Detection Algorithm for Privacy Scenarios Based on Optimized YOLO11

Authors: Ke Li Shaojing Song Jingyi Zhang et al.

Source: 2025 IEEE 5th International Conference on Electronic Technology, Communication and Information (ICETCI). :103-107

Research on fall detection algorithm based on improved YOLOv8

Authors: Litao Cai Mingmei Liu Youbing Feng et al.

Source: Proceedings of the 2025 2nd International Conference on Generative Artificial Intelligence and Information Security. :610-615

Fall detection algorithm based on improved YOLOv8

Authors: Honghong Gao Lei Wei Yuming Han et al.

Source: Proceedings of the 2025 5th International Conference on Bioinformatics and Intelligent Computing. :492-497

Fall detection algorithm based on improved YOLOv8: DEW-YOLO

Authors: Chi Wang Li Lou

Source: Proceedings of the 2025 4th International Conference on Big Data, Information and Computer Network. :100-104

Research on fall detection algorithm based on PPYOLOE

Authors: Yan Wan Xiao Hu YanZhen Wu

Source: 2024 International Conference on Virtual Reality and Visualization (ICVRV). :124-129

Fall Detection Algorithm for Elderly People Living Alone Based on ARKit and YOLOv5

Authors: Hui Jin Yuh-Chung Lin Odai Athamneh et al.

Source: 2024 International Conference on Orange Technology (ICOT). :1-4

Fall Detection Algorithm Based on Wearable Design

Authors: Yunlong Tian Chang Liu Xu Zhang et al.

Source: Proceedings of the 2024 10th International Conference on Communication and Information Processing. :492-498

Improved Fall Detection Algorithm Based on YOLOv8: OEF-YOLO

Authors: SONG Jie, XU Huiying, ZHU Xinzhong, HUANG Xiao, CHEN Chen, WANG Zeyu

Source: Jisuanji gongcheng, Vol 51, Iss 7, Pp 127-139 (2025)

Subject Terms: object detection, lightweight, falling incidents, attention mechanism, omni-dimensional dynamic convolution(odconv), Computer engineering. Computer hardware, TK7885-7895, Computer software, QA76.75-76.765

File Description: electronic resource

Relation: https://www.ecice06.com/fileup/1000-3428/PDF/jsjgc-51-7-127.pdf; https://doaj.org/toc/1000-3428

Access URL: https://doaj.org/article/d4c7f488eeb64e7b80900719d0287131

Fall detection algorithm based on global and local feature extraction

Authors: Bin Li Jiangjiao Li Peng Wang

Source: Pattern Recognition Letters. 185:31-37

Deep Learning-Based Real-Time Fall Detection Algorithm for the Elderly

Authors: Changtao Wang Jiawei Kang

Source: 2024 IEEE 6th International Conference on Power, Intelligent Computing and Systems (ICPICS). :419-423

Fall detection algorithm based on pyramid network and feature fusion

Authors: Jiangjiao Li Mengqi Gao Peng Wang et al.

Source: Evolving Systems. 15:1957-1970

Multi-scale motion perception fall detection algorithm based on video swin transformer

Authors: Xi Cai Xiangcheng Wang Yin Jiao et al.

Source: Signal, Image and Video Processing. 19

Real-time fall detection algorithm based on FFD-AlphaPose and CTR–GCN

Authors: Xuecun Yang Yixiang Wang Zhonghua Dong et al.

Source: Journal of Real-Time Image Processing. 22

DBF-YOLO: a fall detection algorithm for complex scenes

Authors: Xu Wang Xiaodong Xiang

Source: Signal, Image and Video Processing. 19

Elderly Fall Detection Algorithm Based on Improved YOLOv5s

Authors: Zhongze Luo Siying Jia Hongjun Niu et al.

Source: Information Technology and Control. 53:601-618

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

YOLOv8-MING: Research on Privacy Fall Detection Algorithm Based on Improved YOLOv8

Authors: Chun Shan Hongming Liu Yu Yu et al.

Source: Communications in Computer and Information Science ISBN: 9789819645053

Improved YOLOv8 Fall Detection Algorithm

Authors: Bojie Liu Daming Liu

Source: Lecture Notes in Computer Science ISBN: 9789819610709

Research on Fall Detection Algorithm for Marathon Runners Based on Deep Learning

Authors: Jianyu Zhang Jing Guo

Source: International Conference on Algorithms Software Engineering and Network Security. :575-579

Pedestrian fall detection algorithm based on improved YOLOv5

Authors: Xudong Song Qiang Luo

Source: 2024 5th International Conference on Computer Vision, Image and Deep Learning (CVIDL). :1302-1306

Novel Fall Detection Algorithm based on Multi-Threshold Fall Model

Authors: Hao Li Jun Ma Xunhuan Ren et al.

Subject Terms: ЭБ БГУ::ЕСТЕСТВЕННЫЕ И ТОЧНЫЕ НАУКИ::Математика, материалы конференций, fall detection algorithm, ЭБ БГУ::ЕСТЕСТВЕННЫЕ И ТОЧНЫЕ НАУКИ::Кибернетика, threshold, wearable sensor, triaxial accelerometer

File Description: application/pdf

Access URL: https://elib.bsu.by/handle/123456789/306225