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Inpatient falls are a serious safety issue in hospitals and healthcare facilities. Recent advances in video analytics for patient monitoring provide a non-intrusive avenue to reduce this risk through continuous activity monitoring. However,…

Computer Vision and Pattern Recognition · Computer Science 2024-03-06 Ziqing Wang , Mohammad Ali Armin , Simon Denman , Lars Petersson , David Ahmedt-Aristizabal

Workplace accidents are a critical problem that causes many deaths, injuries, and financial losses. Climate change has a severe impact on industrial workers, partially caused by global warming. To reduce such casualties, it is important to…

Computer Vision and Pattern Recognition · Computer Science 2022-11-01 Sanjay Adhikesaven

Rollator walkers allow people with physical limitations to increase their mobility and give them the confidence and independence to participate in society for longer. However, rollator walker users often have poor posture, leading to…

Robotics · Computer Science 2023-10-12 Ivanna Kramer , Kevin Weirauch , Sabine Bauer , Mark Oliver Mints , Peer Neubert

Objectives: The aims of this study are to identify factors in physical environments that contribute to patient falls in hospitals and to propose a computational model to evaluate patient room designs. Background: The existing fall risk…

Computational Engineering, Finance, and Science · Computer Science 2020-09-01 Roya Sabbagh Novin , Ellen Taylor , Tucker Hermans , Andrew Merryweather

Lifting is a common manual material handling task performed in the workplaces. It is considered as one of the main risk factors for Work-related Musculoskeletal Disorders. To improve work place safety, it is necessary to assess…

Computer Vision and Pattern Recognition · Computer Science 2018-02-07 Rahil Mehrizi , Xi Peng , Zhiqiang Tang , Xu Xu , Dimitris Metaxas , Kang Li

A significant portion of driving hazards is caused by human error and disregard for local driving regulations; Consequently, an intelligent assistance system can be beneficial. This paper proposes a novel vision-based modular package to…

Computer Vision and Pattern Recognition · Computer Science 2023-03-30 Amirhossein Kazerouni , Amirhossein Heydarian , Milad Soltany , Aida Mohammadshahi , Abbas Omidi , Saeed Ebadollahi

Effective methods of preventing falls significantly improve the quality of life of the Elderly. Nowadays, people focus mainly on the proper provision of the apartment with handrails and fall detection systems once they have occurred. The…

Robotics · Computer Science 2021-04-02 Dawid Gruszczyński , Maciej Stefańczyk

Security and safety are two intertwined terms. It is a common belief that when a place or system is secure, it is safe. This paper shows a means of integrating three devices for physical intrusion detection. This paper thus suggests a means…

Cryptography and Security · Computer Science 2009-12-22 Awodele Oludele , Ogunnusi Ayodele , Omole Oladele , Seton Olurotimi

Multimodal Large Language Models (MLLMs) hold immense promise as assistive technologies for the blind and visually impaired (BVI) community. However, we identify a critical failure mode that undermines their trustworthiness in real-world…

Computer Vision and Pattern Recognition · Computer Science 2025-08-12 Xiantao Zhang

Falling is a commonly occurring mishap with elderly people, which may cause serious injuries. Thus, rapid fall detection is very important in order to mitigate the severe effects of fall among the elderly people. Many fall monitoring…

In this paper we present a machine vision system to efficiently monitor, analyze and present visual data acquired with a railway overhead gantry equipped with multiple cameras. This solution aims to improve the safety of daily life railway…

Computer Vision and Pattern Recognition · Computer Science 2015-07-29 Giuseppe Lisanti , Svebor Karaman , Daniele Pezzatini , Alberto Del Bimbo

Detecting impact where an individual makes contact with the ground within a fall event is crucial in fall detection systems, particularly for elderly care where prompt intervention can prevent serious injuries. The UP-Fall dataset, a key…

Computer Vision and Pattern Recognition · Computer Science 2025-02-27 Tresor Y. Koffi , Youssef Mourchid , Mohammed Hindawi , Yohan Dupuis

Lifting on construction sites, as a frequent operation, works still with safety risks, especially for modular integrated construction (MiC) lifting due to its large weight and size, probably leading to accidents, causing damage to the…

Systems and Control · Electrical Eng. & Systems 2025-06-26 Hao Chen , Yu Hin Ng , Ching-Wei Chang , Haobo Liang , Yanke Wang

Rollating walkers are popular mobility aids used by older adults to improve balance control. There is a need to automatically recognize the activities performed by walker users to better understand activity patterns, mobility issues and the…

Artificial Intelligence · Computer Science 2012-03-19 Farheen Omar , Mathieu Sinn , Jakub Truszkowski , Pascal Poupart , James Tung , Allen Caine

With the increasing use of Machine Learning (ML) in critical autonomous systems, runtime monitors have been developed to detect prediction errors and keep the system in a safe state during operations. Monitors have been proposed for…

Machine Learning · Computer Science 2022-09-01 Joris Guerin , Raul Sena Ferreira , Kevin Delmas , Jérémie Guiochet

Computer-assisted multimodal training is an effective way of learning complex motor skills in various applications. In particular disciplines (eg. healthcare) incompetency in performing dexterous hands-on examinations (clinical palpation)…

Human-Computer Interaction · Computer Science 2020-01-17 A. Asadipour , K. Debattista , V. Patel , A. Chalmers

In recent years, road safety has attracted significant attention from researchers and practitioners in the intelligent transport systems domain. As one of the most common and vulnerable groups of road users, pedestrians cause great concerns…

Robotics · Computer Science 2021-11-09 Zheyu Zhang , Boyang Wang , Chao Lu , Jinghang Li , Cheng Gong , Jianwei Gong

Wearing a seatbelt appropriately while driving can reduce serious crash-related injuries or deaths by about half. However, current seatbelt reminder system has multiple shortcomings, such as can be easily fooled by a "Seatbelt Warning…

Computer Vision and Pattern Recognition · Computer Science 2022-03-03 Feng Hu

This work deals with integration and transmission of safety information for smart railway vehicles and control and design of cooperative emergency brake systems for high speed trains. Due to increased speed of high-speed train, safety of…

Information Theory · Computer Science 2016-06-17 Dongsoo Har

Rapid urbanization and improved living standards have led to a substantial increase in the number of vehicles on the road, consequently resulting in a rise in the frequency of accidents. Among these accidents, motorbike accidents pose a…

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