Výsledky vyhledávání - "fall detection algorithm"

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

Autoři: Ke Li Shaojing Song Jingyi Zhang a další

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

Research on fall detection algorithm based on improved YOLOv8

Autoři: Litao Cai Mingmei Liu Youbing Feng a další

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

Fall detection algorithm based on improved YOLOv8

Autoři: Honghong Gao Lei Wei Yuming Han a další

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

Fall detection algorithm based on improved YOLOv8: DEW-YOLO

Autoři: Chi Wang Li Lou

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

Research on fall detection algorithm based on PPYOLOE

Autoři: Yan Wan Xiao Hu YanZhen Wu

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

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

Autoři: Hui Jin Yuh-Chung Lin Odai Athamneh a další

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

Fall Detection Algorithm Based on Wearable Design

Autoři: Yunlong Tian Chang Liu Xu Zhang a další

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

Improved Fall Detection Algorithm Based on YOLOv8: OEF-YOLO

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

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

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

Popis souboru: electronic resource

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

Přístupová URL adresa: https://doaj.org/article/d4c7f488eeb64e7b80900719d0287131

Fall detection algorithm based on global and local feature extraction

Autoři: Bin Li Jiangjiao Li Peng Wang

Zdroj: Pattern Recognition Letters. 185:31-37

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

Autoři: Changtao Wang Jiawei Kang

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

Fall detection algorithm based on pyramid network and feature fusion

Autoři: Jiangjiao Li Mengqi Gao Peng Wang a další

Zdroj: Evolving Systems. 15:1957-1970

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

Autoři: Xi Cai Xiangcheng Wang Yin Jiao a další

Zdroj: Signal, Image and Video Processing. 19

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

Autoři: Xuecun Yang Yixiang Wang Zhonghua Dong a další

Zdroj: Journal of Real-Time Image Processing. 22

DBF-YOLO: a fall detection algorithm for complex scenes

Autoři: Xu Wang Xiaodong Xiang

Zdroj: Signal, Image and Video Processing. 19

Elderly Fall Detection Algorithm Based on Improved YOLOv5s

Autoři: Zhongze Luo Siying Jia Hongjun Niu a další

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

Témata: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

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

Autoři: Chun Shan Hongming Liu Yu Yu a další

Zdroj: Communications in Computer and Information Science ISBN: 9789819645053

Improved YOLOv8 Fall Detection Algorithm

Autoři: Bojie Liu Daming Liu

Zdroj: Lecture Notes in Computer Science ISBN: 9789819610709

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

Autoři: Jianyu Zhang Jing Guo

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

Pedestrian fall detection algorithm based on improved YOLOv5

Autoři: Xudong Song Qiang Luo

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

Novel Fall Detection Algorithm based on Multi-Threshold Fall Model

Autoři: Hao Li Jun Ma Xunhuan Ren a další

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

Popis souboru: application/pdf

Přístupová URL adresa: https://elib.bsu.by/handle/123456789/306225