Results 91 to 100 of about 11,090,884 (273)

Detection of Human Falls on Furniture Using Scene Analysis Based on Deep Learning and Activity Characteristics

IEEE Access, 2018
Automatic human fall detection is one important research topic in caring for vulnerable people, such as elders at home and patients in medical places. Over the past decade, numerous methods aiming at solving the problem were proposed.
Weidong Min, Hao Cui, Hong Rao, Zhixun Li, Leiyue Yao   +4 more
doaj   +1 more source

Deep Learning Multi-Class Approach for Human Fall Detection Based on Doppler Signatures. [PDF]

Int J Environ Res Public Health, 2023
Cardenas JD, Gutierrez CA, Aguilar-Ponce R.   +2 more
europepmc   +1 more source

Unsupervised Machine Learning Identifies Shared Biomechanical and Clinical Variation in Individuals with Knee Osteoarthritis and High BMI: A Secondary Analysis of the IDEA Trial

Arthritis Care &Research, Accepted Article.
Objective High body mass index (BMI≥27 kg/m2) and aberrant gait biomechanics are primary risk factors for knee osteoarthritis (KOA), yet the specific loading patterns linked to clinical disease features remain unclear. Unsupervised machine learning (ML) was used to identify vertical ground reaction force (vGRF) waveform modes of variation and ...
Ashley N. Buck, J. Elyse Borgert, Hyeon Lee, Liubov Arbeeva, Yvonne M. Golightly, Richard F. Loeser, Leigh F. Callahan, Stephen P. Messier, Brian Pietrosimone, Amanda E. Nelson, James S. Marron   +10 more
wiley   +1 more source

Is an Apple an Orange? A Large Language Model Benchmark for Candidate Term Extraction and Subclass Decisions Against Upper Ontologies in Engineering and Materials Science

Advanced Engineering Materials, EarlyView.
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch, Maximilian Holland, Klaus Drechsler, Johannes Schilp   +3 more
wiley   +1 more source

A Hybrid Multi-Person Fall Detection Scheme Based on Optimized YOLO and ST-GCN.

International Journal of Interactive Multimedia and Artificial Intelligence
Human falls are a serious health issue for elderly and disabled people living alone. Studies have shown that if fallers could be helped immediately after a fall, it would greatly reduce their risk of death and the percentage of them requiring long-term ...
Lei Liu, Yeguo Sun, Xianlei Ge
doaj   +1 more source

Machine-Learning-Based Human Fall Detection Using Contact- and Noncontact-Based Sensors. [PDF]

Comput Intell Neurosci, 2022
Chandak A, Chaturvedi N, Dhiraj.
europepmc   +1 more source

A Lightweight Procedural Layer for Hybrid Experimental–Computational Workflows in Materials Science

Advanced Engineering Materials, EarlyView.
We unveil a prototype hybrid‐workflow framework that fuses automatedcomputation with hands‐on experiments. Built atop pyiron, a lightweight, parameterized layer translates procedure descriptions into executable manual steps, syncing instrument settings, human interventions, and data capture in real‐time today.
Steffen Brinckmann, Sarath Menon, Raphael Röske, Johannes Steinhülb, Michael Selzer, Jan Janssen, Tilmann Hickel, Ruth Schwaiger, Jörg Neugebauer   +8 more
wiley   +1 more source

Using Deep Neural Networks for Human Fall Detection Based on Pose Estimation. [PDF]

Sensors (Basel), 2022
Salimi M, Machado JJM, Tavares JMRS.
europepmc   +1 more source

Ontology‐Aligned Structuring and Reuse of Multimodal Materials Data and Workflows Toward Automatic Reproduction

Advanced Engineering Materials, EarlyView.
Reproduction of stacking fault energy calculations from literature with a semi‐automated large language model‐assisted extraction procedure: extraction of simulation protocol, atomistic structures, computational parameters, and reported results, ontology alignment, knowledge graph construction and, finally, recomputation forvalidation.
Sepideh Baghaee Ravari, Abril Azocar Guzman, Sarath Menon, Stefan Sandfeld, Tilmann Hickel, Markus Stricker   +5 more
wiley   +1 more source

Human Fall Detection using CHLAC Features with Skeletal Image Sequences [PDF]

, 2017
departmental bulletin ...
金子, 拓光, Kaneko, Takumi, ソウ, メイフェン, 曹, 梅芬, Cao, Meifen, カネコ, タクミ   +5 more
core