Suchergebnisse - "developed fall detection algorithms"

A framework for Machine Learning- based Fall from Height Prediction in Construction Industry.

Autoren: D. A., OKORO R. E., AKO R. A., ABERE

Quelle: FUPRE Journal of Scientific & Industrial Research; 2025, Vol. 9 Issue 1, p286-304, 19p

Schlagwörter: CONSTRUCTION industry, CONSTRUCTION accidents, ACCIDENTAL falls, MACHINE learning, RISK assessment

Fall-from-Height Detection Using Deep Learning Based on IMU Sensor Data for Accident Prevention at Construction Sites.

Autoren: Lee, Seunghee Koo, Bummo Yang, Sumin et al.

Quelle: Sensors (14248220); Aug2022, Vol. 22 Issue 16, p6107-6107, 10p

Schlagwörter: BUILDING sites, ACCIDENT prevention, DEEP learning, ANGULAR acceleration, ANGULAR velocity, HELMETS

Wearable Sensor Gait Analysis for Fall Detection Using Deep Learning Methods

Autoren: Yhdego, Haben Girmay

Quelle: Electrical & Computer Engineering Theses & Dissertations

Schlagwörter: Deep learning, ECG, Fall detection, Gait analysis, Machine learning, Wearable sensor, Artificial Intelligence and Robotics, Bioinformatics, Biomedical Engineering and Bioengineering, Computer Engineering

Dateibeschreibung: application/pdf

Relation: https://digitalcommons.odu.edu/ece_etds/251; https://digitalcommons.odu.edu/context/ece_etds/article/1251/viewcontent/Yhdego_dissertation.pdf

Verfügbarkeit: https://digitalcommons.odu.edu/ece_etds/251
https://doi.org/10.25777/91hp-ty43
https://digitalcommons.odu.edu/context/ece_etds/article/1251/viewcontent/Yhdego_dissertation.pdf

Introducing the use of depth data for fall detection.

Autoren: Planinc, Rainer Kampel, Martin

Quelle: Personal & Ubiquitous Computing; Aug2013, Vol. 17 Issue 6, p1063-1072, 10p, 7 Color Photographs, 6 Diagrams, 6 Charts

Schlagwörter: DATA analysis, ACCELEROMETERS, COMPARATIVE studies, MICROPHONES, ALGORITHMS, MEASURING instruments

Bridging the gap between real-life data and simulated data by providing a highly realistic fall dataset for evaluating camera-based fall detection algorithms.

Autoren: Baldewijns G Debard G Mertes G et al.

Quelle: Healthcare technology letters [Healthc Technol Lett] 2016 Mar 21; Vol. 3 (1), pp. 6-11. Date of Electronic Publication: 2016 Mar 21 (Print Publication: 2016).

Publikationsart: Journal Article

Info zur Zeitschrift: Publisher: Wiley Country of Publication: England NLM ID: 101646459 Publication Model: eCollection Cited Medium: Print ISSN: 2053-3713 (Print) Linking ISSN: 20533713 NLM ISO Abbreviation: Healthc Technol Lett Subsets: PubMed not MEDLINE

Advances in Human Factors and Ergonomics 2012- 14 Volume Set : Proceedings of the 4th AHFE Conference 21-25 July 2012

Autoren: Gavriel Salvendy Waldemar Karwowski

Resource Type: eBook.

Schlagworte: TA166

Categories: COMPUTERS / Human-Computer Interaction (HCI), TECHNOLOGY & ENGINEERING / Industrial Engineering, TECHNOLOGY & ENGINEERING / Industrial Health & Safety

Advances in Applied Human Modeling and Simulation

Autoren: Vincent G. Duffy

Resource Type: eBook.

Schlagworte: Human engineering--Data processing, Human-machine systems--Computer simulation, Environmental psychology--Data processing

Categories: COMPUTERS / Human-Computer Interaction (HCI), TECHNOLOGY & ENGINEERING / Industrial Engineering, TECHNOLOGY & ENGINEERING / Industrial Health & Safety