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1,642 Results Found

  • Review
  • Open Access
140 Citations
25,200 Views
17 Pages

1 November 2017

Fall prediction is a multifaceted problem that involves complex interactions between physiological, behavioral, and environmental factors. Existing fall detection and prediction systems mainly focus on physiological factors such as gait, vision, and...

  • Article
  • Open Access
1 Citations
6,079 Views
26 Pages

A Novel Cooperative AI-Based Fall Risk Prediction Model for Older Adults

  • Deepika Mohan,
  • Peter Han Joo Chong and
  • Jairo Gutierrez

26 June 2025

Older adults make up about 12% of the public sector, primary care, and hospital use and represent a large proportion of the users of healthcare services. Older people are also more vulnerable to serious injury from unexpected falls due to tripping, s...

  • Article
  • Open Access
10 Citations
6,392 Views
14 Pages

Older Adult Fall Risk Prediction with Deep Learning and Timed Up and Go (TUG) Test Data

  • Josu Maiora,
  • Chloe Rezola-Pardo,
  • Guillermo García,
  • Begoña Sanz and
  • Manuel Graña

Falls are a major health hazard for older adults; therefore, in the context of an aging population, predicting the risk of a patient suffering falls in the near future is of great impact for health care systems. Currently, the standard prospective fa...

  • Systematic Review
  • Open Access
624 Views
29 Pages

14 February 2026

Background: Falls are a leading cause of morbidity and mortality among older adults, creating a need for technologies that can automatically detect falls and summon timely assistance. The rapid evolution of sensor technologies and artificial intellig...

  • Article
  • Open Access
5 Citations
3,378 Views
13 Pages

An Approach for Fall Prediction Based on Kinematics of Body Key Points Using LSTM

  • Bahareh Mobasheri,
  • Seyed Reza Kamel Tabbakh and
  • Yahya Forghani

Many studies have used sensors attached to adults in order to collect signals by which one can carry out analyses to predict falls. In addition, there are research studies in which videos and photographs were used to extract and analyze body posture...

  • Systematic Review
  • Open Access
1 Citations
3,330 Views
16 Pages

27 October 2025

Background and Objectives: Falls are a leading cause of morbidity and mortality among older adults in hospitals and long-term care facilities (LTCFs). Digital healthcare approaches are increasingly being applied to fall detection and prevention; howe...

  • Article
  • Open Access
880 Views
18 Pages

30 July 2025

Introduction: Falls are the leading cause of Emergency Department (ED) presentations among residents from residential aged care facilities (RACFs). While most current studies focus on post-fall evaluations and fall prevention, limited research has be...

  • Article
  • Open Access
3 Citations
3,155 Views
10 Pages

Prediction of In-Hospital Falls Using NRS, PACD Score and FallRS: A Retrospective Cohort Study

  • Jennifer Siegwart,
  • Umberto Spennato,
  • Nathalie Lerjen,
  • Beat Mueller,
  • Philipp Schuetz,
  • Daniel Koch and
  • Tristan Struja

Background: Harmful in-hospital falls with subsequent injuries often cause longer stays and subsequently higher costs. Early identification of fall risk may help in establishing preventive strategies. Objective: To assess the predictive ability of di...

  • Article
  • Open Access
9 Citations
3,687 Views
10 Pages

Older People Living Alone: A Predictive Model of Fall Risk

  • Isabel Lage,
  • Fátima Braga,
  • Manuela Almendra,
  • Filipe Meneses,
  • Laetitia Teixeira and
  • Odete Araújo

Falls in older people are a result of a combination of multiple risk factors. There are few studies involving predictive models in a community context. The aim of this study was to determine the validation of a new model for predicting fall risk in o...

  • Article
  • Open Access
25 Citations
3,967 Views
11 Pages

Simplified Decision-Tree Algorithm to Predict Falls for Community-Dwelling Older Adults

  • Keitaro Makino,
  • Sangyoon Lee,
  • Seongryu Bae,
  • Ippei Chiba,
  • Kenji Harada,
  • Osamu Katayama,
  • Kouki Tomida,
  • Masanori Morikawa and
  • Hiroyuki Shimada

5 November 2021

The present study developed a simplified decision-tree algorithm for fall prediction with easily measurable predictors using data from a longitudinal cohort study: 2520 community-dwelling older adults aged 65 years or older participated. Fall history...

  • Article
  • Open Access
14 Citations
4,812 Views
17 Pages

20 September 2020

The aim of this study was to identify in-hospital fall risk factors specific for multimorbid hospitalized geriatric patients with dementia (PwD) during hospitalization. Geriatric inpatients during ward-based rehabilitation (n = 102; 79.4% females; 82...

  • Article
  • Open Access
1 Citations
3,215 Views
14 Pages

16 April 2025

Falls pose a significant health risk for older people, necessitating accurate predictive tools for fall prevention. This study evaluated the sensitivity of a wearable waist-belt sensor, the Booguu Aspire system, in predicting prospective fall inciden...

  • Article
  • Open Access
3 Citations
2,876 Views
13 Pages

6 August 2023

While falls among patients with mild cognitive impairment (MCI) have been closely associated with an increased postural sway during ecological activities of daily living, there is a dearth of postural sway detection (PSD) research in ecological envir...

  • Article
  • Open Access
3 Citations
2,835 Views
11 Pages

6 October 2023

(1) Background: The fall armyworm, Spodoptera frugiperda, is an invasive migratory insect pest that first arrived in Japan in early July 2019. Since then, the species has immigrated to Japan mainly in the summer monsoon season and inflicted damage ma...

  • Review
  • Open Access
66 Citations
11,027 Views
27 Pages

Pathway of Trends and Technologies in Fall Detection: A Systematic Review

  • Rohit Tanwar,
  • Neha Nandal,
  • Mazdak Zamani and
  • Azizah Abdul Manaf

17 January 2022

Falling is one of the most serious health risk problems throughout the world for elderly people. Considerable expenses are allocated for the treatment of after-fall injuries and emergency services after a fall. Fall risks and their effects would be s...

  • Article
  • Open Access
12 Citations
4,250 Views
13 Pages

13 June 2023

Trip perturbations are proposed to be a leading cause of falls in older adults. To prevent trip-falls, trip-related fall risk should be assessed and subsequent task-specific interventions improving recovery skills from forward balance loss should be...

  • Article
  • Open Access
39 Citations
8,363 Views
18 Pages

Machine Learning Prediction of Fall Risk in Older Adults Using Timed Up and Go Test Kinematics

  • Venous Roshdibenam,
  • Gerald J. Jogerst,
  • Nicholas R. Butler and
  • Stephen Baek

17 May 2021

Falls among the elderly population cause detrimental physical, mental, financial problems and, in the worst case, death. The increasing number of people entering the higher risk age-range has increased clinicians’ attention to intervene. Clinical too...

  • Article
  • Open Access
20 Citations
4,320 Views
10 Pages

Fall Prediction Based on Instrumented Measures of Gait and Turning in Daily Life in People with Multiple Sclerosis

  • Ishu Arpan,
  • Vrutangkumar V. Shah,
  • James McNames,
  • Graham Harker,
  • Patricia Carlson-Kuhta,
  • Rebecca Spain,
  • Mahmoud El-Gohary,
  • Martina Mancini and
  • Fay B. Horak

9 August 2022

This study investigates the potential of passive monitoring of gait and turning in daily life in people with multiple sclerosis (PwMS) to identify those at future risk of falls. Seven days of passive monitoring of gait and turning were carried out in...

  • Article
  • Open Access
3 Citations
3,420 Views
10 Pages

Clinical Usefulness of Retropulsion Tests in Persons with Mild to Moderate Parkinson’s Disease

  • Beata Lindholm,
  • Erika Franzén,
  • Wojciech Duzynski,
  • Per Odin and
  • Peter Hagell

People with Parkinson’s disease (PwPD) have an increased risk for falls and near falls. They have particular difficulties with maintaining balance against an external perturbation, and several retropulsion tests exist. The Unified PD Rating Sca...

  • Article
  • Open Access
534 Views
13 Pages

22 December 2025

Older adults with a recent fall history tend to have larger variability in stepping than those without a fall history. In this study, we examined whether variability in step timing—defined as the coefficient of variation (CV) of step timings du...

  • Article
  • Open Access
1,107 Views
22 Pages

6 August 2025

The junction temperature (Tj) is a key parameter reflecting the thermal behavior of Silicon carbide (SiC) MOSFETs and is essential for condition monitoring and reliability assessment in power electronic systems. However, the limited temperature sensi...

  • Article
  • Open Access
23 Citations
4,561 Views
16 Pages

Clinical Disease Severity Mediates the Relationship between Stride Length and Speed and the Risk of Falling in Parkinson’s Disease

  • Yun-Ru Lai,
  • Chia-Yi Lien,
  • Chih-Cheng Huang,
  • Wei-Che Lin,
  • Yueh-Sheng Chen,
  • Chiun-Chieh Yu,
  • Ben-Chung Cheng,
  • Chia-Te Kung,
  • Chien-Feng Kung and
  • Cheng-Hsien Lu
  • + 3 authors

31 January 2022

The shuffling gait with slowed speed and reduced stride length has been considered classic clinical features in idiopathic Parkinson’s disease (PD), and the risk of falling increases as the disease progresses. This raises the possibility that c...

  • Article
  • Open Access
7 Citations
3,265 Views
11 Pages

The frequency of falls increases with age. In Japan, the population is aging rapidly, and fall prevention measures are an urgent issue. However, assessing fall risk during the coronavirus disease pandemic was complicated by the social distancing meas...

  • Article
  • Open Access
70 Citations
8,398 Views
15 Pages

Timed Up and Go and Six-Minute Walking Tests with Wearable Inertial Sensor: One Step Further for the Prediction of the Risk of Fall in Elderly Nursing Home People

  • Fabien Buisseret,
  • Louis Catinus,
  • Rémi Grenard,
  • Laurent Jojczyk,
  • Dylan Fievez,
  • Vincent Barvaux and
  • Frédéric Dierick

5 June 2020

Assessing the risk of fall in elderly people is a difficult challenge for clinicians. Since falls represent one of the first causes of death in such people, numerous clinical tests have been created and validated over the past 30 years to ascertain t...

  • Article
  • Open Access
12 Citations
4,196 Views
22 Pages

Factors Influencing Genomic Prediction Accuracies of Tropical Maize Resistance to Fall Armyworm and Weevils

  • Arfang Badji,
  • Lewis Machida,
  • Daniel Bomet Kwemoi,
  • Frank Kumi,
  • Dennis Okii,
  • Natasha Mwila,
  • Symphorien Agbahoungba,
  • Angele Ibanda,
  • Astere Bararyenya and
  • Patrick Rubaihayo
  • + 8 authors

24 December 2020

Genomic selection (GS) can accelerate variety improvement when training set (TS) size and its relationship with the breeding set (BS) are optimized for prediction accuracies (PAs) of genomic prediction (GP) models. Sixteen GP algorithms were run on p...

  • Article
  • Open Access
70 Citations
12,539 Views
22 Pages

Computer Vision and Machine Learning-Based Gait Pattern Recognition for Flat Fall Prediction

  • Biao Chen,
  • Chaoyang Chen,
  • Jie Hu,
  • Zain Sayeed,
  • Jin Qi,
  • Hussein F. Darwiche,
  • Bryan E. Little,
  • Shenna Lou,
  • Muhammad Darwish and
  • Carlos Palacio-Lascano
  • + 1 author

19 October 2022

Background: Gait recognition has been applied in the prediction of the probability of elderly flat ground fall, functional evaluation during rehabilitation, and the training of patients with lower extremity motor dysfunction. Gait distinguishing betw...

  • Article
  • Open Access
7 Citations
4,789 Views
21 Pages

Hybrid Early Warning System for Rock-Fall Risks Reduction

  • Abdelzahir Abdelmaboud,
  • Mohammed Abaker,
  • Magdi Osman,
  • Mohammed Alghobiri,
  • Ahmed Abdelmotlab and
  • Hatim Dafaalla

13 October 2021

Rock-fall is a natural threat resulting in many annual economic costs and human casualties. Constructive measures including detection or prediction of rock-fall and warning road users at the appropriate time are required to prevent or reduce the risk...

  • Article
  • Open Access
25 Citations
5,857 Views
10 Pages

16 August 2022

Workers at construction sites are prone to fall-from-height (FFH) accidents. The severity of injury can be represented by the acceleration peak value. In the study, a risk prediction against FFH was made using IMU sensor data for accident prevention...

  • Article
  • Open Access
32 Citations
9,259 Views
15 Pages

Feature Selection and Predictors of Falls with Foot Force Sensors Using KNN-Based Algorithms

  • Shengyun Liang,
  • Yunkun Ning,
  • Huiqi Li,
  • Lei Wang,
  • Zhanyong Mei,
  • Yingnan Ma and
  • Guoru Zhao

20 November 2015

The aging process may lead to the degradation of lower extremity function in the elderly population, which can restrict their daily quality of life and gradually increase the fall risk. We aimed to determine whether objective measures of physical fun...

  • Article
  • Open Access
4 Citations
2,357 Views
16 Pages

Slip Risk Prediction Using Intelligent Insoles and a Slip Simulator

  • Shuo Xu,
  • Md Javed Imtiaze Khan,
  • Meysam Khaleghian and
  • Anahita Emami

24 October 2023

Slip and fall accidents are the leading cause of injuries for all ages, and for fatal injuries in adults over 65 years. Various factors, such as floor surface conditions and contaminants, shoe tread patterns, and gait behavior, affect the slip risk....

  • Article
  • Open Access
1 Citations
2,043 Views
19 Pages

A Machine Learning Model for Predicting Critical Minimum Foot Clearance (MFC) Heights

  • Hanatsu Nagano,
  • Maria Prokofieva,
  • Clement Ogugua Asogwa,
  • Eri Sarashina and
  • Rezaul Begg

1 August 2024

Tripping is the largest cause of falls, and low swing foot ground clearance during the mid-swing phase, particularly at the critical gait event known as Minimum Foot Clearance (MFC), is the major risk factor for tripping-related falls. Intervention s...

  • Article
  • Open Access
7 Citations
2,442 Views
15 Pages

Frailty as a Predictor of Adverse Outcomes among Spanish Community-Dwelling Older Adults

  • Ascensión Doñate-Martínez,
  • Tamara Alhambra-Borrás and
  • Estrella Durá-Ferrandis

Spain is one of the European countries with the oldest populations. The prevalence of frailty among Spanish older people ranges from 8.4 to 29.4% and currently, is one of the most relevant public health challenges. The Tilburg Frailty indicator (TFI)...

  • Article
  • Open Access
9 Citations
2,727 Views
13 Pages

14 March 2023

Hospitals must continually monitor their patients’ actions to lower the chance of accidents, such as patient falls and slides. Human behavior is difficult to track due to the complexity of human activities and the unpredictable nature of their...

  • Article
  • Open Access
9 Citations
3,416 Views
22 Pages

7 October 2023

Falls by the elderly pose considerable health hazards, leading not only to physical harm but a number of other related problems. A timely alert about a deteriorating gait, as an indication of an impending fall, can assist in fall prevention. In this...

  • Article
  • Open Access
16 Citations
6,281 Views
12 Pages

26 February 2019

Balance disorders present a significant healthcare burden due to the potential for hospitalization or complications for the patient, especially among the elderly population when considering intangible losses such as quality of life, morbidities, and...

  • Article
  • Open Access
3 Citations
3,308 Views
18 Pages

Whole-Body Dynamics for Humanoid Robot Fall Protection Trajectory Generation with Wall Support

  • Weilong Zuo,
  • Junyao Gao,
  • Jiongnan Liu,
  • Taiping Wu and
  • Xilong Xin

When humanoid robots work in human environments, they are prone to falling. However, when there are objects around that can be utilized, humanoid robots can leverage them to achieve balance. To address this issue, this paper established the state equ...

  • Feature Paper
  • Article
  • Open Access
18 Citations
4,659 Views
20 Pages

2 June 2018

Cardiovascular disease (CVD) patients with intrinsic cardiac cause for falling have been found to be frail and submissive to morbidity and mortality as post-operative outcomes. In these older CVD patients, gait speed is conjectured by the Society of...

  • Article
  • Open Access
3 Citations
3,123 Views
18 Pages

A Vision-Based Approach for Sidewalk and Walkway Trip Hazards Assessment

  • Rachel Cohen,
  • Geoff Fernie and
  • Atena Roshan Fekr

Tripping hazards on the sidewalk cause many falls annually, and the inspection and repair of these hazards cost cities millions of dollars. Currently, there is not an efficient and cost-effective method to monitor the sidewalk to identify any possibl...

  • Article
  • Open Access
61 Citations
7,929 Views
22 Pages

Intelligent Road Inspection with Advanced Machine Learning; Hybrid Prediction Models for Smart Mobility and Transportation Maintenance Systems

  • Nader Karballaeezadeh,
  • Farah Zaremotekhases,
  • Shahaboddin Shamshirband,
  • Amir Mosavi,
  • Narjes Nabipour,
  • Peter Csiba and
  • Annamária R. Várkonyi-Kóczy

4 April 2020

Prediction models in mobility and transportation maintenance systems have been dramatically improved by using machine learning methods. This paper proposes novel machine learning models for an intelligent road inspection. The traditional road inspect...

  • Article
  • Open Access
11 Citations
5,828 Views
19 Pages

The main objective of this study is to better understand and quantify the consequences for landslide susceptibility assessment caused by (i) the discrimination (or not) of landslide typology and (ii) the use of different predisposing factor combinati...

  • Review
  • Open Access
8 Citations
4,751 Views
13 Pages

Predictability of Fall Risk Assessments in Community-Dwelling Older Adults: A Scoping Review

  • N. F. J. Waterval,
  • C. M. Claassen,
  • F. C. T. van der Helm and
  • E. van der Kruk

6 September 2023

Fall risk increases with age, and one-third of adults over 65 years old experience a fall annually. Due to the aging population, the number of falls and related medical costs will progressively increase. Correct prediction of who will fall in the fut...

  • Article
  • Open Access
1 Citations
1,765 Views
10 Pages

Predicting Falls in Musculoskeletal Rehabilitation: A Retrospective Multisite Study

  • Luca Scarabel,
  • Federica Scarpina,
  • Graziano Ruggieri,
  • Nicola Schiavone and
  • Costanzo Limoni

23 October 2023

Background. Fall represents one of the highest concerns in the healthcare system, especially in medical rehabilitation settings. However, there is a lack of instruments for the assessment of risk falls in the context of musculoskeletal rehabilitation...

  • Article
  • Open Access
24 Citations
3,688 Views
10 Pages

A TUG Value Longer Than 11 s Predicts Fall Risk at 6-Month in Individuals with COPD

  • Vivien Reynaud,
  • Daniela Muti,
  • Bruno Pereira,
  • Annick Greil,
  • Denis Caillaud,
  • Ruddy Richard,
  • Emmanuel Coudeyre and
  • Frédéric Costes

22 October 2019

Risk of a fall is increased in individuals with chronic obstructive pulmonary disease (COPD), and is usually evaluated using the Berg Balance Scale (BBS), but this is difficult to perform in everyday clinical practice. We aimed to prospectively predi...

  • Article
  • Open Access
7 Citations
4,063 Views
19 Pages

28 September 2022

The prevention of falls in older people requires the identification of the most important risk factors. Frailty is associated with risk of falls, but not all falls are of the same nature. In this work, we utilised data from The Irish Longitudinal Stu...

  • Article
  • Open Access
24 Citations
6,368 Views
30 Pages

Predicting Fall Counts Using Wearable Sensors: A Novel Digital Biomarker for Parkinson’s Disease

  • Barry R. Greene,
  • Isabella Premoli,
  • Killian McManus,
  • Denise McGrath and
  • Brian Caulfield

22 December 2021

People with Parkinson’s disease (PD) experience significant impairments to gait and balance; as a result, the rate of falls in people with Parkinson’s disease is much greater than that of the general population. Falls can have a catastrop...

  • Article
  • Open Access
13 Citations
5,779 Views
8 Pages

Background: In community-dwelling older adults, slow gait speed is linked to falls; however, little is known about the use of gait speed to predict falls in nursing home residents. The prevalence of risk factors for falls in nursing home residents is...

  • Article
  • Open Access
34 Citations
6,065 Views
11 Pages

Malnutrition at Admission Predicts In-Hospital Falls in Hospitalized Older Adults

  • Yuria Ishida,
  • Keisuke Maeda,
  • Tomoyuki Nonogaki,
  • Akio Shimizu,
  • Yosuke Yamanaka,
  • Remi Matsuyama,
  • Ryoko Kato and
  • Naoharu Mori

20 February 2020

Malnutrition leads to poor prognoses, including a predisposition to falls. Few studies have investigated the relationship between malnutrition and falls during hospitalization. This study aimed to determine malnutrition’s association with falls...

  • Article
  • Open Access
18 Citations
4,142 Views
12 Pages

Background: Although fall prevention in patients after stroke is crucial, the clinical validity of fall risk assessment tools is underresearched in this population. The study aim was to determine the cut-off scores and clinical validity of the Sensor...

  • Article
  • Open Access
1 Citations
1,924 Views
20 Pages

27 May 2024

As one of the main external factors affecting the fire extinguishing accuracy of sprinkler systems, it is necessary to analyze and study random wind. However, in practical applications, there is little research on the impact of random wind on sprinkl...

  • Article
  • Open Access
5 Citations
3,289 Views
15 Pages

Fall-related accidents have received more attention in building construction than in civil construction as fall-from-heights is more common in building construction. In addition to social costs, construction companies face a significant financial bur...

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