Výsledky vyhledávání - fall detection algorithm evaluation

Evaluation of algorithms for human fall detection based on acceleration measurements

Autoři: Šeketa, Goran Magjarević, Ratko

Přispěvatelé: Šeketa, Goran Magjarević, Ratko

Témata: fall detection datasets, Computer science and technology. Computing. Data processing, TEHNIČKE ZNANOSTI. Računarstvo, akcelerometar, segmentacija podataka, fall detection algorithm evaluation, data segmentation, accelerometer, vrednovanje algoritma za detekciju pada, TECHNICAL SCIENCES. Computing, fall detection system, sustav za detekciju pada, skupovi podataka za detekciju pada, Računalna znanost i tehnologija. Računalstvo. Obrada podataka

Popis souboru: application/pdf

Přístupová URL adresa: https://repozitorij.fer.unizg.hr/islandora/object/fer:7421
https://urn.nsk.hr/urn:nbn:hr:168:627616
https://repozitorij.fer.unizg.hr/islandora/object/fer:7421/datastream/PDF

Evaluación de un algoritmo para detección de caídas basado en umbrales a partir de señales inerciales.

Alternate Title: Evaluation of an algorithm for threshold-based fall detection from inertial signals.

Autoři: Carbó Pérez, Alain J. Salvador Figueroa, Elizabeth López Delis, Alberto

Zdroj: Ingeniería Electrónica. Automatica y Comunicaciones. 2023, Vol. 44 Issue 1, p1-8. 8p.

Témata: *ANGULAR acceleration, *WIRELESS sensor networks, *ANGULAR velocity, *RISK factors of falling down, *ACTIVITIES of daily living, *LINEAR acceleration, *INTERNET of things, *MEDICAL physics, *POPULATION aging, *ACCIDENTAL falls, *OLDER people, *EVERYDAY life

DBF-YOLO: a fall detection algorithm for complex scenes.

Autoři: Wang, Xu Xiang, Xiaodong

Zdroj: Signal, Image & Video Processing; Jul2025, Vol. 19 Issue 7, p1-11, 11p

An efficient algorithm for pedestrian fall detection in various image degradation scenarios based on YOLOv8n.

Autoři: Xun, Jianhui Wang, Xuefeng Wang, Xiufang a další

Zdroj: Scientific Reports; 4/14/2025, Vol. 15 Issue 1, p1-15, 15p

Témata: DETECTION algorithms, CITIES & towns, OLDER people, ARTIFICIAL intelligence, RAINFALL

Dual-branch fall detection algorithm based on multi-scale temporal difference.

Autoři: Cai, Xi Chen, Yinuo Fan, Mingchen a další

Zdroj: Signal, Image & Video Processing; Dec2025, Vol. 19 Issue 15, p1-11, 11p

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

Autoři: Cai, Xi Wang, Xiangcheng Jiao, Yin a další

Zdroj: Signal, Image & Video Processing; Oct2025, Vol. 19 Issue 10, p1-12, 12p

Fall Detection Algorithm Using Enhanced HRNet Combined with YOLO.

Autoři: Shi, Huan Wang, Xiaopeng Shi, Jia

Zdroj: Sensors (14248220); Jul2025, Vol. 25 Issue 13, p4128, 26p

Témata: FEATURE extraction, REAL-time computing, HUMAN activity recognition, MACHINE learning

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

Autoři: Yang, Xuecun Wang, Yixiang Dong, Zhonghua a další

Zdroj: Journal of Real-Time Image Processing; Jun2025, Vol. 22 Issue 3, p1-15, 15p

Comparison of four machine learning algorithms for a pre-impact fall detection system.

Autoři: Wang D Li Z

Zdroj: Medical & biological engineering & computing [Med Biol Eng Comput] 2023 Aug; Vol. 61 (8), pp. 1961-1974. Date of Electronic Publication: 2023 May 31.

Způsob vydávání: Journal Article

Informace o časopise: Publisher: Springer Country of Publication: United States NLM ID: 7704869 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1741-0444 (Electronic) Linking ISSN: 01400118 NLM ISO Abbreviation: Med Biol Eng Comput Subsets: MEDLINE

Výrazy ze slovníku MeSH: Algorithms* , Neural Networks, Computer*, Machine Learning ; Shoes

A hybrid human fall detection method based on modified YOLOv8s and AlphaPose.

Autoři: Liu, Lei Sun, Yeguo Li, Yinyin a další

Zdroj: Scientific Reports; 1/21/2025, Vol. 15 Issue 1, p1-17, 17p

Témata: POSE estimation (Computer vision), OBJECT recognition (Computer vision), HUMAN activity recognition, EDGE computing, ALGORITHMS

Evaluation of Inertial Sensor-Based Pre-Impact Fall Detection Algorithms Using Public Dataset.

Autoři: Ahn S Kim J Koo B a další

Zdroj: Sensors (Basel, Switzerland) [Sensors (Basel)] 2019 Feb 13; Vol. 19 (4). Date of Electronic Publication: 2019 Feb 13.

Způsob vydávání: Journal Article

Informace o časopise: Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium: Internet ISSN: 1424-8220 (Electronic) Linking ISSN: 14248220 NLM ISO Abbreviation: Sensors (Basel) Subsets: PubMed not MEDLINE

Elderly Fall Detection Algorithm Based on Improved YOLOv5s.

Autoři: Zhongze Luo Siying Jia Hongjun Niu a další

Zdroj: Information Technology & Control; 2024, Vol. 53 Issue 2, p601-618, 18p

Témata: MACHINE learning, OBJECT recognition (Computer vision), OLDER people, ALGORITHMS, DEEP learning

Development and Evaluation of a Prior-to-Impact Fall Event Detection Algorithm.

Autoři: Liu, Jian Lockhart, Thurmon E.

Zdroj: IEEE Transactions on Biomedical Engineering. Jul2014, Vol. 61 Issue 7, p2135-2140. 6p.

Témata: *ACCIDENTAL fall prevention, *ACCIDENTS, *FEAR of falling, *PREVENTION of injuries in older people, *ACCIDENTAL falls in old age, *BONE fractures in old age, *KINEMATICS, *EQUIPMENT & supplies

New method for evaluating artificial neural network algorithm with signal detection theory and full factorial design for detecting falls.

Autoři: Uttapon Khawnuan Teppakorn Sittiwanchai Nantakrit Yodpijit

Zdroj: Engineering & Applied Science Research; Jan/Feb2023, Vol. 50 Issue 1, p33-46, 14p

Témata: SIGNAL detection, FACTORIAL experiment designs, RADIAL basis functions, MOTION detectors, ALGORITHMS, ACCIDENTAL fall prevention, ARTIFICIAL neural networks, CHILDREN'S injuries

Pilot Study on the Evaluation of the Functionality, Safety and Reliability of New Tripping Devices for Lower Limbs. (MOTU++ pedane)

Autoři: Biorobotic Institute Scuola Superiore sant'Anna Pisa

Zdroj: Pilot Study on the Evaluation of the Functionality, Safety and Reliability of New Tripping Devices for Lower Limbs.
Zhang F, D'Andrea SE, Nunnery MJ, Kay SM, Huang H. Towards design of a stumble detection system for artificial legs. IEEE Trans Neural Syst Rehabil Eng. 2011 Oct;19(5):567-77. doi: 10.1109/TNSRE.2011.2161888. Epub 2011 Aug 18.
Palumbo P, Randi P, Moscato S, Davalli A, Chiari L. Degree of Safety Against Falls Provided by 4 Different Prosthetic Knee Types in People With Transfemoral Amputation: A Retrospective Observational Study. Phys Ther. 2022 Apr 1;102(4):pzab310. doi: 10.1093/ptj/pzab310.
Hunter SW, Batchelor F, Hill KD, Hill AM, Mackintosh S, Payne M. Risk Factors for Falls in People With a Lower Limb Amputation: A Systematic Review. PM R. 2017 Feb;9(2):170-180.e1. doi: 10.1016/j.pmrj.2016.07.531. Epub 2016 Jul 30.
Miller WC, Speechley M, Deathe B. The prevalence and risk factors of falling and fear of falling among lower extremity amputees. Arch Phys Med Rehabil. 2001 Aug;82(8):1031-7. doi: 10.1053/apmr.2001.24295.

Fall detection algorithm based on pyramid network and feature fusion.

Autoři: Li, Jiangjiao Gao, Mengqi Wang, Peng a další

Zdroj: Evolving Systems; Oct2024, Vol. 15 Issue 5, p1957-1970, 14p

Visual perception enhancement fall detection algorithm based on vision transformer.

Autoři: Cai, Xi Wang, Xiangcheng Bao, Kexin a další

Zdroj: Signal, Image & Video Processing; Jan2025, Vol. 19 Issue 1, p1-12, 12p

Three-States-Transition Method for Fall Detection Algorithm Using Depth Image.

Autoři: Xiangbo Kong Zelin Meng Lin Meng a další

Zdroj: Journal of Robotics & Mechatronics; Jan2019, Vol. 31 Issue 1, p88-94, 7p

Témata: ACCIDENTAL falls in old age, EDGE detection (Image processing), TANGENTS (Geometry), MATRICES (Mathematics), DISTRIBUTION (Probability theory)

A High-Precision Human Fall Detection Model Based on FasterNet and Deformable Convolution.

Autoři: Zheng, Xiuxiu Cao, Jianzhao Wang, Changtao a další

Zdroj: Electronics (2079-9292); Jul2024, Vol. 13 Issue 14, p2798, 17p

Témata: COMPUTATIONAL complexity, ALGORITHMS, NECK, HUMAN beings

Evaluation of algorithms for human fall detection based on acceleration measurements ; Vrednovanje algoritama za detekciju pada čovjeka zasnovanih na mjerenju akceleracije

Autoři: Šeketa, Goran Magjarević, Ratko

Přispěvatelé: Šeketa, Goran Magjarević, Ratko

Témata: fall detection system, fall detection algorithm evaluation, accelerometer, data segmentation, fall detection datasets, sustav za detekciju pada, vrednovanje algoritma za detekciju pada, akcelerometar, segmentacija podataka, skupovi podataka za detekciju pada, TEHNIČKE ZNANOSTI. Računarstvo, TECHNICAL SCIENCES. Computing, Računalna znanost i tehnologija. Računalstvo. Obrada podataka, Computer science and technology. Computing. Data processing, info:eu-repo/classification/udc/004(043.3)

Popis souboru: application/pdf

Relation: https://dr.nsk.hr/islandora/object/fer:7421; https://urn.nsk.hr/urn:nbn:hr:168:627616; https://repozitorij.unizg.hr/islandora/object/fer:7421; https://repozitorij.unizg.hr/islandora/object/fer:7421/datastream/PDF

Dostupnost: https://dr.nsk.hr/islandora/object/fer:7421
https://urn.nsk.hr/urn:nbn:hr:168:627616
https://repozitorij.unizg.hr/islandora/object/fer:7421
https://repozitorij.unizg.hr/islandora/object/fer:7421/datastream/PDF