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

Intelligent workload allocation in IoT-Fog-cloud architecture towards mobile edge computing

(2021) M. Abbasi et al.   COMPUTER COMMUNICATIONS

When falls become fatal—Clinical care sequence

(2021) Stacy A. Drake et al.   PLoS One

Body-Worn Sensors for Remote Monitoring of Parkinson’s Disease Motor Symptoms: Vision, State of the Art, and Challenges Ahead

(2021) Silvia Del Din et al.   Journal of Parkinsons Disease

A Systematic Review of Location Aware Schemes in the Internet of Things

(2021) Muneeb A. Khan et al.   SENSORS

A comprehensive overview of smart wearables: The state of the art literature, recent advances, and future challenges

(2020) Naghmeh Niknejad et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Machine learning and wearable devices of the future

(2020) Sándor Beniczky et al.   EPILEPSIA

Data dimensionality reduction techniques for Industry 4.0: Research results, challenges, and future research directions

(2020) Prateek Chhikara et al.   SOFTWARE-PRACTICE & EXPERIENCE

Evolution of wireless sensor network design from technology centric to user centric: An architectural perspective

(2020) Akhilendra Pratap Singh et al.   International Journal of Distributed Sensor Networks

Dynamic Slot Allocation Using Non Overlapping Backoff Algorithm in IEEE 802.15.6 WBAN

(2020) Abdul Saboor et al.   IEEE SENSORS JOURNAL

Fall detection system for elderly people using IoT and ensemble machine learning algorithm

(2019) Diana Yacchirema et al.   Personal and Ubiquitous Computing

Elderly Fall Detection Using Wearable Sensors: A Low Cost Highly Accurate Algorithm

(2019) Majd Saleh et al.   IEEE SENSORS JOURNAL

Machine Learning-Based Pre-Impact Fall Detection Model to Discriminate Various Types of Fall

(2019) Tae Hyong Kim et al.   JOURNAL OF BIOMECHANICAL ENGINEERING-TRANSACTIONS OF THE ASME

Accelerometer-Based Human Fall Detection Using Convolutional Neural Networks

(2019) Guto Santos et al.   SENSORS

UP-Fall Detection Dataset: A Multimodal Approach

(2019) Lourdes Martínez-Villaseñor et al.   SENSORS

A new hybrid filter/wrapper algorithm for feature selection in classification

(2019) Jixiong Zhang et al.   ANALYTICA CHIMICA ACTA

Fast and automatic assessment of fall risk by coupling machine learning algorithms with a depth camera to monitor simple balance tasks

(2019) Amandine Dubois et al.   Journal of NeuroEngineering and Rehabilitation

Prevention of cognitive decline in old age—varying effects of interventions in different populations

(2019) Chengxuan Qiu et al.   Annals of Translational Medicine

A Real-Time Patient Monitoring Framework for Fall Detection

(2019) Dharmitha Ajerla et al.   WIRELESS COMMUNICATIONS & MOBILE COMPUTING

Edge computing in smart health care systems: Review, challenges, and research directions

(2019) Morghan Hartmann et al.   Transactions on Emerging Telecommunications Technologies

Determinants of ADL and IADL disability in older adults in southeastern Poland

(2019) Agnieszka Ćwirlej-Sozańska et al.   BMC Geriatrics

Benchmark for filter methods for feature selection in high-dimensional classification data

(2019) Andrea Bommert et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS

Underwater image enhancement based on conditional generative adversarial network

(2019) Miao Yang et al.   SIGNAL PROCESSING-IMAGE COMMUNICATION

Reviews of wearable healthcare systems: Materials, devices and system integration

(2019) Zheng Lou et al.   MATERIALS SCIENCE & ENGINEERING R-REPORTS

Supervised machine learning scheme for electromyography-based pre-fall detection system

(2018) Gabriele Rescio et al.   EXPERT SYSTEMS WITH APPLICATIONS

A Movement Decomposition and Machine Learning-Based Fall Detection System Using Wrist Wearable Device

(2018) Thiago de Quadros et al.   IEEE SENSORS JOURNAL

FallDroid: An Automated Smart Phone based Fall Detection System using Multiple Kernel Learning

(2018) Ahsan Shahzad et al.   IEEE Transactions on Industrial Informatics

Machine learning algorithms based on signals from a single wearable inertial sensor can detect surface- and age-related differences in walking

(2018) B. Hu et al.   JOURNAL OF BIOMECHANICS

An Energy-Efficient Algorithm for Wearable Electrocardiogram Signal Processing in Ubiquitous Healthcare Applications

(2018) Ali Sodhro et al.   SENSORS

Deep Learning to Predict Falls in Older Adults Based on Daily-Life Trunk Accelerometry

(2018) Ahmed Nait Aicha et al.   SENSORS

Research on face feature extraction based on K-mean algorithm

(2018) Pengcheng Wei et al.   EURASIP Journal on Image and Video Processing

SmartFall: A Smartwatch-Based Fall Detection System Using Deep Learning

(2018) Taylor Mauldin et al.   SENSORS

On Research Challenges in Hybrid Medium-Access Control Protocols for IEEE 802.15.6 WBANs

(2018) Abdul Saboor et al.   IEEE SENSORS JOURNAL

An Adaptive Algorithm to Improve Energy Efficiency in Wearable Activity Recognition Systems

(2017) Hamed Rezaie et al.   IEEE SENSORS JOURNAL

Enhancing Binary Classification by Modeling Uncertain Boundary in Three-Way Decisions

(2017) Yuefeng Li et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Factors associated with the risk of falls in hospitalized adult patients

(2017) Vivian Lemes Lobo Bittencourt et al.   Revista da Escola de Enfermagem da USP

SisFall: A Fall and Movement Dataset

(2017) Angela Sucerquia et al.   SENSORS

An Event-Triggered Machine Learning Approach for Accelerometer-Based Fall Detection

(2017) I Putra et al.   SENSORS

Faller Classification in Older Adults Using Wearable Sensors Based on Turn and Straight-Walking Accelerometer-Based Features

(2017) Dylan Drover et al.   SENSORS

Home Camera-Based Fall Detection System for the Elderly

(2017) Koldo de Miguel et al.   SENSORS

sEMG Sensor Using Polypyrrole-Coated Nonwoven Fabric Sheet for Practical Control of Prosthetic Hand

(2017) Yinlai Jiang et al.   Frontiers in Neuroscience

Fall Detection in Individuals With Lower Limb Amputations Using Mobile Phones: Machine Learning Enhances Robustness for Real-World Applications

(2017) Nicholas Shawen et al.   JMIR mHealth and uHealth

Fall detection via human posture representation and support vector machine

(2017) Kaibo Fan et al.   International Journal of Distributed Sensor Networks

Recent developments in human gait research: parameters, approaches, applications, machine learning techniques, datasets and challenges

(2016) Chandra Prakash et al.   ARTIFICIAL INTELLIGENCE REVIEW

Physical activity in older age: perspectives for healthy ageing and frailty

(2016) Jamie S. McPhee et al.   BIOGERONTOLOGY

Activity Recognition With Smart Polymer Floor Sensor: Application to Human Footstep Recognition

(2016) Renan Serra et al.   IEEE SENSORS JOURNAL

A random forest guided tour

(2016) Gérard Biau et al.   TEST

A random forest guided tour

(2016) Gérard Biau et al.   TEST

Risk Factors for Fall-Related Injuries Leading to Hospitalization Among Community-Dwelling Older Persons

(2015) Rekha M. Ravindran et al.   Asia-Pacific Journal of Public Health

Accelerometer-based fall detection using feature extraction and support vector machine algorithms

(2015) Kuang-Hsuan Chen et al.   INSTRUMENTATION SCIENCE & TECHNOLOGY

Survey on Fall Detection and Fall Prevention Using Wearable and External Sensors

(2014) Yueng Delahoz et al.   SENSORS

Detecting Falls with Wearable Sensors Using Machine Learning Techniques

(2014) Ahmet Özdemir et al.   SENSORS

Gait Analysis Methods: An Overview of Wearable and Non-Wearable Systems, Highlighting Clinical Applications

(2014) Alvaro Muro-de-la-Herran et al.   SENSORS

Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement

(2013) David Moher   ANNALS OF INTERNAL MEDICINE

Challenges, issues and trends in fall detection systems

(2013) Raul Igual et al.   Biomedical Engineering Online

A survey on fall detection: Principles and approaches

(2012) Muhammad Mubashir et al.   NEUROCOMPUTING

Feature extraction and selection for objective gait analysis and fall risk assessment by accelerometry

(2011) Benoit Caby et al.   Biomedical Engineering Online

On the Design and Analysis of the Privacy-Preserving SVM Classifier

(2010) Keng-Pei Lin et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Support Vector Machines for classification and regression

(2009) Richard G. Brereton et al.   ANALYST