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Fall detection with depth-videos
2015 23nd Signal Processing and Communications Applications Conference (SIU), 2015Elderly people, who are living alone are great risk if a fall event occurred. Therefore automatic fall detection systems are in demand for elderly people. In this paper, a depth based fall detection system is proposed. The proposed method consists of shape based fall characterization and a Support Vector Machine (SVM) classifier.
Muzaffer Aslan +3 more
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Personalized Fall Detection System
2020 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops), 2020This paper explores the personalization of smartwatch-based fall detection models trained using a combination of deep neural networks with ensemble techniques. Deep neural networks face practical challenges when used for fall detection, which in general tend to have limited training samples and imbalanced datasets. Moreover, many motions generated by a
Anne H. H. Ngu +5 more
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Fall detection - Principles and Methods
2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2007Fall detection of the elderly is a major public health problem. Thus it has generated a wide range of applied research and prompted the development of telemonitoring systems to enable the early diagnosis of fall conditions. This article is a survey of systems, algorithms and sensors, for the automatic early detection of the fall of elderly persons.
Noury, Norbert +6 more
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Fall detection system for the elderly
2017 IEEE 7th Annual Computing and Communication Workshop and Conference (CCWC), 2017According with the World Health Organization, Falls are the second leading cause of accidental or unintentional injury deaths worldwide. Adults older than 65 suffer the greatest number of fatal falls. Therefore, the quality of life of older people can be improved by using automatic fall detection systems.
Joseph Santiago +3 more
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A NeuroFuzzy approach for fall detection
2017 International Conference on Engineering, Technology and Innovation (ICE/ITMC), 2017Falls represent a serious issue which can have catastrophic consequences and the need for ICT based solutions aimed to improve the life quality and autonomy of frail people, is hence emerging, with particular regards to falls' detection and classification.
Ando B. +3 more
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Autonomic Fall Detection System
2017 IEEE 2nd International Workshops on Foundations and Applications of Self* Systems (FAS*W), 2017Internet of Things (IoT) and cloud computing have produced major breakthroughs in information services and applications. Internet provided the required connections to countless devices or things that have led to a significant improvement in the quality of life.
Ahmet Turan Özdemir +2 more
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Fall Detection with Privacy as Standard
2019 International Conference on High Performance Computing & Simulation (HPCS), 2019Current ambient assisted-living (AAL) systems used to detect falls in the elderly often rely on the person in question being either capable of pressing a panic button to alert others of their fall, or a wearable device which detects impacts. These systems can be invasive, negatively impacting on an individual’s sense of independence and privacy which ...
Dylan Kelly +2 more
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Proceedings of the 2020 4th International Conference on Virtual and Augmented Reality Simulations, 2020
In this paper, we present an innovative application of Virtual Reality in human fall detection. Fall detection is a challenging problem in the public healthcare domain. Despite significant efforts into developing reliable and effective fall detection algorithms and devices by researchers and engineers, minimal success has been seen.
Vinh Bui, Minh Bui
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In this paper, we present an innovative application of Virtual Reality in human fall detection. Fall detection is a challenging problem in the public healthcare domain. Despite significant efforts into developing reliable and effective fall detection algorithms and devices by researchers and engineers, minimal success has been seen.
Vinh Bui, Minh Bui
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A Hybrid Algorithm for Fall Detection
2017Falling is a major problem among the people globally, frequently due to some health problems including vision loss or balance disorder as a consequence of aging. As a result of the falling in elder people; injuries, complications, neurological problems and mortality are generally occurred.
Serkan Türkeli +4 more
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Fall detection and risk of falling assessment with wearable sensors
Proceedings of the conference on Wireless Health, 2012We demonstrate a wearable sensor system for automatic detection of falls and assessment of risk of falling for the elderly through continuous physical activity monitoring. The demonstrated approach uses data measured by a wearable sensor, PAMSys™, for long-term physical activity monitoring.
Bor-rong Chen, Joseph Gwin
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