Cargando…

Latest Research Trends in Fall Detection and Prevention Using Machine Learning: A Systematic Review

Falls are unusual actions that cause a significant health risk among older people. The growing percentage of people of old age requires urgent development of fall detection and prevention systems. The emerging technology focuses on developing such systems to improve quality of life, especially for t...

Descripción completa

Detalles Bibliográficos
Autores principales:	Usmani, Sara, Saboor, Abdul, Haris, Muhammad, Khan, Muneeb A., Park, Heemin
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2021
Materias:	Review
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8347190/ https://www.ncbi.nlm.nih.gov/pubmed/34372371 http://dx.doi.org/10.3390/s21155134

Ejemplares similares

A Systematic Review of Location Aware Schemes in the Internet of Things
por: Khan, Muneeb A., et al.
Publicado: (2021)

Modern approaches in machine learning and cognitive science: latest trends in AI
por: Gunjan, Vinit Kumar, et al.
Publicado: (2020)

Mining-Guided Machine Learning Analyses Revealed the Latest Trends in Neuro-Oncology
por: Hana, Taijun, et al.
Publicado: (2019)

PAG and the latest trends in breeding research
por: Sasaki, Takuji
Publicado: (2012)

Preventing falls: the use of machine learning for the prediction of future falls in individuals without history of fall
por: Bargiotas, Ioannis, et al.
Publicado: (2022)

The rise and fall of machine learning methods in biomedical research
por: Koohy, Hashem
Publicado: (2018)

Latest Trends in Investing for Improved Nutrition and Obesity Prevention
por: Robinson, Ella, et al.
Publicado: (2022)

Crop-saving with AI: latest trends in deep learning techniques for plant pathology
por: Salman, Zafar, et al.
Publicado: (2023)

Petrology and mineralogy of the Viñales meteorite, the latest fall in Cuba
por: Yin, Feng, et al.
Publicado: (2021)

Detecting Falls with Wearable Sensors Using Machine Learning Techniques
por: Özdemir, Ahmet Turan, et al.
Publicado: (2014)

AI-based object detection latest trends in remote sensing, multimedia and agriculture applications
por: Nawaz, Saqib Ali, et al.
Publicado: (2022)

Accelerometer-Based Fall Detection Using Machine Learning: Training and Testing on Real-World Falls
por: Palmerini, Luca, et al.
Publicado: (2020)

Latest Trends in Acoustic Sensing
por: Caliendo, Cinzia
Publicado: (2014)

Fall Prediction and Prevention Systems: Recent Trends, Challenges, and Future Research Directions
por: Rajagopalan, Ramesh, et al.
Publicado: (2017)

Pathway of Trends and Technologies in Fall Detection: A Systematic Review
por: Tanwar, Rohit, et al.
Publicado: (2022)

Assessing English language sentences readability using machine learning models
por: Maqsood, Shazia, et al.
Publicado: (2022)

An Event-Triggered Machine Learning Approach for Accelerometer-Based Fall Detection
por: Putra, I Putu Edy Suardiyana, et al.
Publicado: (2017)

Comparison of machine learning approaches for near-fall-detection with motion sensors
por: Hellmers, Sandra, et al.
Publicado: (2023)

Hepatocellular Carcinoma: Latest Research in Pathogenesis, Detection and Treatment
por: Foglia, Beatrice, et al.
Publicado: (2023)

Machine Learning Toxicity Prediction: Latest Advances by Toxicity End Point
por: Cavasotto, Claudio N., et al.
Publicado: (2022)

Latest Trends in Sustainable Polymeric Food Packaging Films
por: Silva, Edilson G. S., et al.
Publicado: (2022)

Latest trends in condensed matter physics
por: Singhal, R K
Publicado: (2011)

Leave pooling—the latest trend: Implications
por: Upadhyaya, Suneet Kumar, et al.
Publicado: (2011)

The Latest Trends in Electric Vehicles Batteries
por: Salgado, Rui Martim, et al.
Publicado: (2021)

Latest Trends in Retinopathy of Prematurity: Research on Risk Factors, Diagnostic Methods and Therapies
por: Bujoreanu Bezman, Laura, et al.
Publicado: (2023)

Unsupervised machine-learning method for improving the performance of ambulatory fall-detection systems
por: Yuwono, Mitchell, et al.
Publicado: (2012)

Trends and Focus of Machine Learning Applications for Health Research
por: Beaulieu-Jones, Brett, et al.
Publicado: (2019)

Challenges and trends in multimodal fall detection for healthcare
por: Ponce, Hiram, et al.
Publicado: (2020)

Challenges, issues and trends in fall detection systems
por: Igual, Raul, et al.
Publicado: (2013)

Latest Trends in Lateral Flow Immunoassay (LFIA) Detection Labels and Conjugation Process
por: Mirica, Andreea-Cristina, et al.
Publicado: (2022)

The rise and fall of supervised machine learning techniques
por: Jensen, Lars Juhl, et al.
Publicado: (2011)

Chronic Liver Disease: Latest Research in Pathogenesis, Detection and Treatment
por: De Siervi, Silvia, et al.
Publicado: (2023)

Model-Driven Decision Making in Multiple Sclerosis Research: Existing Works and Latest Trends
por: Alshamrani, Rayan, et al.
Publicado: (2020)

Advances in cancer immunotherapy 2019 – latest trends
por: Kruger, Stephan, et al.
Publicado: (2019)

The latest trend in neuromuscular monitoring: return of the electromyography
por: Lee, Wonjin
Publicado: (2021)

Study of Latest Trend on Acupuncture for Obesity Treatment
por: Chun, Hea-Sun, et al.
Publicado: (2021)

Biosimilars in Oncology: Latest Trends and Regulatory Status
por: Joshi, Deeksha, et al.
Publicado: (2022)

Fall Detection: Using Technology to Prevent Falls and Save Lives
por: Manning, Lydia
Publicado: (2021)

Triaxial Accelerometer-Based Falls and Activities of Daily Life Detection Using Machine Learning
por: Althobaiti, Turke, et al.
Publicado: (2020)

Machine-Learning-Based Human Fall Detection Using Contact- and Noncontact-Based Sensors
por: Chandak, Ayush, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_geenb191lh46f121gnn9kh917u