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Wearable Embedded Intelligence for Detection of Falls Independently of on-Body Location

José Alves, Joana Silva, Eduardo Grifo, Carlos Resende, Inês Sousa
2019 Sensors  
Falls are one of the most common problems in the elderly population. Therefore, each year more solutions for automatic fall detection are emerging.  ...  This paper proposes a single accelerometer algorithm for wearable devices that works for three different body locations: chest, waist and pocket, without a calibration step being required.  ...  Discussion In this study we propose a fall detection algorithm that works independently of three different body locations, waist, chest and pocket.  ... 
doi:10.3390/s19112426 fatcat:7ebvabjxorclppdxxv3t76mkmq

A threshold-based algorithm of fall detection using a wearable device with tri-axial accelerometer and gyroscope

Han Wen Guo, Yi Ta Hsieh, Yu Shun Huang, Jen Chien Chien, Koichi Haraikawa, Jiann Shing Shieh
2015 2015 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS)  
Hence fall detection is necessary to minimize risk of injury. Accelerometer is the most widely used device to detect falls as it provides information about the sudden downward tilt.  ...  Paper describes the review on fall detectors in which tri-axial accelerometer is used as the main component along with different sensors and systems.  ...  Wearable sensors are the devices that can be mounted on the patient's body and based on the patient's motion or body movements falls can be detected.  ... 
doi:10.1109/iciibms.2015.7439470 fatcat:odrzxbsqkrg3ffmb34mgiegdvm

A Survey of IoT-Based Fall Detection for Aiding Elderly Care: Sensors, Methods, Challenges and Future Trends

Mohamed Esmail Karar, Hazem Ibrahim Shehata, Omar Reyad
2022 Applied Sciences  
Remote monitoring of a fall condition or activities and daily life (ADL) of elderly patients has become one of the essential purposes for modern telemedicine.  ...  Finally, this article is concluded by proposing advanced techniques such as lightweight deep models as one of the solutions and prospects of futuristic smart IoT-enabled systems for accurate fall detection  ...  Acknowledgments: The authors extend their appreciation to the Deputyship for Research & Innovation, Ministry of Education in Saudi Arabia for funding this research work through the project number (IFP2021  ... 
doi:10.3390/app12073276 fatcat:yyolfifow5bojia34ncxvvt46a

Challenges and Issues in Multisensor Fusion Approach for Fall Detection: Review Paper

Gregory Koshmak, Amy Loutfi, Maria Linden
2016 Journal of Sensors  
Yet following the recent development within ICT, a significant number of solutions have been proposed to track body movement and detect falls using various sensor technologies, thereby facilitating fall  ...  The aim of this paper is to review in detail the subfield of fall detection techniques that explicitly considers the use of multisensor fusion based methods to assess and determine falls.  ...  of location/posture duration 15 video sequences recorded in health smart home Motion detection: 84% Huang et al. [25] 2008 Intelligent cane fall detection based on sensor fusion Laser range finder, CCD  ... 
doi:10.1155/2016/6931789 fatcat:kmmdgwqpbbhzphetuo62r4p3iy

The Design of Home Monitoring System by Remote Mobile Medical

Ye Ding, Shi Gang, Jiang Hong
2015 2015 7th International Conference on Information Technology in Medicine and Education (ITME)  
As for the incidence of patients, system could rescue on the scene by method of body position detection and location targeting.  ...  The system takes the wearable detection technology and Bluetooth low energy (BLE) transmission technology to achieve that the patient's physiological signals could be detected and collected by low power  ...  We will focus on the development of body physiological parameters detection node, the transmission and management of the physiological data on mobile terminal and intervene for the patient on remote monitoring  ... 
doi:10.1109/itme.2015.168 fatcat:ql3pyw3uxng4lg2mqiqongtiha

DEVELOPMENT OF WEARABLE HUMAN FALL DETECTION SYSTEM USING MULTILAYER PERCEPTRON NEURAL NETWORK

Hamideh Kerdegari, Khairulmizam Samsudin, Abdul Rahman Ramli, Saeid Mokaram
2013 International Journal of Computational Intelligence Systems  
This paper presents an accurate wearable fall detection system which can identify the occurrence of falls among elderly population.  ...  This work was resulted to a high accuracy wearable fall-detection system with the accuracy of 91.6%.  ...  Acknowledgements The authors would like to thank the students and staffs of department of computer and communication system engineering, University Putra Malaysia and all other volunteers for their kind  ... 
doi:10.1080/18756891.2013.761769 fatcat:hgjjdbdjirdhbetwtcnq2twck4

Sensors in Assisted Living: A survey of signal and image processing methods

Fatih Erden, Senem Velipasalar, Ali Ziya Alkar, A. Enis Cetin
2016 IEEE Signal Processing Magazine  
Autonomous fall detection systems for AL can reduce the severity of falls by informing other people to deliver help and reduce the amount of time people remain on the floor.  ...  Falls among the elderly are a major concern for both families and medical professionals.  ...  They are transducers for measuring the dynamic acceleration of a physical device. All of the commercially available wearable fall detection systems are based on accelerometers.  ... 
doi:10.1109/msp.2015.2489978 fatcat:n6qfgfql4fhq7js3cyyhojgfoe

Seamless Tracing of Human Behavior Using Complementary Wearable and House-Embedded Sensors

Piotr Augustyniak, Magdalena Smoleń, Zbigniew Mikrut, Eliasz Kańtoch
2014 Sensors  
The system uses simultaneously a wearable sensor network for each individual and premise-embedded sensors specific for each environment.  ...  premise-embedded networks and an automatic danger detection algorithm driven by two premise-and subject-related databases.  ...  The work of Eliasz Kańtoch was funded by the National Research Center based on the decision number DEC-2011/01/N/ST7/06779.  ... 
doi:10.3390/s140507831 pmid:24787640 pmcid:PMC4062997 fatcat:e4fglcduajdbzi2gkbhglgdwnu

A review of wearable sensors and systems with application in rehabilitation

Shyamal Patel, Hyung Park, Paolo Bonato, Leighton Chan, Mary Rodgers
2012 Journal of NeuroEngineering and Rehabilitation  
The growing body of work focused on the application of wearable technology to monitor older adults and subjects with chronic conditions in the home and community settings justifies the emphasis of this  ...  Applications described in this review paper include those that focus on health and wellness, safety, home rehabilitation, assessment of treatment efficacy, and early detection of disorders.  ...  Even though the wrist is a challenging sensor location to detect a fall event, researchers on the project achieved 90% sensitivity and 97% specificity in the detection of simulated falls.  ... 
doi:10.1186/1743-0003-9-21 pmid:22520559 pmcid:PMC3354997 fatcat:tez7twx77jbq7hvt4rlc67vw2a

Mobile and E-Healthcare: Recent Trends and Future Directions

Rahul K Kher
2016 Journal of Health & Medical Economics  
This is the era of cut-throat competition filled with immense stress which leads to the detection of various diseases even in the people of early age.  ...  The miniaturization of sensors and devices and tendency of people to be physician-independent have lead the researchers across the globe to come up with numerous healthcare solutions which are not only  ...  The typical features of these systems include wireless body sensors for vital parameters (heart rate, body temperature, ECG, respiration rate, tilt and fall detection) monitoring, smartphone, automatic  ... 
doi:10.21767/2471-9927.100010 fatcat:qoil33b42vgsnffhuu3hhbog3a

A comparative study of machine learning techniques used in non-clinical systems for continuous healthcare of independent livings [article]

Zahid Iqbal, Rafia Ilyas, Waseem Shahzad, Irum Inayat
2020 arXiv   pre-print
Systems that are built for single specific purpose (e.g. detect fall, detect emergent state of chronic disease patient) and cannot support healthcare generically are known as single purpose systems, where  ...  This research performs comparative study on non-clinical systems in healthcare for independent livings.  ...  Specification holds area for which system is built most of [9] Emergency for seizure 86% for seizure Fall detection [14] Fall detection 96%-97% fall detection [13] Fall detection 92% and 100%  ... 
arXiv:2005.09502v1 fatcat:id2ev5npure4lhbskw6coc2ewq

A survey on fall detection: Principles and approaches

Muhammad Mubashir, Ling Shao, Luke Seed
2013 Neurocomputing  
In this paper, we give a comprehensive survey of different systems for fall detection and their underlying algorithms.  ...  Fall detection is a major challenge in the public health care domain, especially for the elderly, and reliable surveillance is a necessity to mitigate the effects of falls.  ...  Wearable device based approaches Wearable device based approaches rely on garments with embedded sensors to detect the motion and location of the body of the subject.  ... 
doi:10.1016/j.neucom.2011.09.037 fatcat:p5e6a7l6ovc5rijkbpctatwjua

Towards Privacy-Preserved Aging in Place: A Systematic Review

Munkhjargal Gochoo, Fady Alnajjar, Tan-Hsu Tan, Sumayya Khalid
2021 Sensors  
For this review, 235 articles were scanned from databases, out of which 31 articles pertaining to in-home technologies that assist the elderly in living independently were shortlisted for inclusion.  ...  However, this raises concerns of privacy and data security for users since it can be handled remotely.  ...  evaluate auditory perception services, recognize activities of human body, track position, monitor human activities based on sound, detect fall and undertake rescue  ... 
doi:10.3390/s21093082 pmid:33925161 fatcat:azkbacdl4behlbahodlgiddkhm

SENSOR-BASED WIRELESS WEARABLE SYSTEMS FOR HEALTHCARE AND FALLS MONITORING

Hou Honglun, Huo Meimei, Wu Minghui
2013 International Journal on Smart Sensing and Intelligent Systems  
One approach involves tele-health applications, many of which are based on sensor technologies for unobtrusive monitoring.  ...  New trends on healthcare technologies fall into the use of autonomous systems that allows the capturing and monitoring of physiological parameters anytime and anywhere.  ...  Based on Degen et al's fall detect algorithm, this paper proposes a new threshold program and test all possible types of body falls and analyzes the experiment results, the results show that the improved  ... 
doi:10.21307/ijssis-2017-634 fatcat:7jodutpgozgw7cfagpi7bqbfwe

Assistive Technology for Risks Affecting Elderly People in Outdoor Environment

Rami Yared, Bessam Abdulrazak
2015 Proceedings of the 1st International Conference on Information and Communication Technologies for Ageing Well and e-Health  
In this paper, we present the result of our study on major risk factors that affect elderly people during outdoor activities.  ...  Assistive Technology for Risks Affecting Elderly People in Outdoor Environment.  ...  Fall Use of assistive devices that implement ambient intelligence technology, can promote better handling of fall risk. Diverse methods can be used to detect fall.  ... 
doi:10.5220/0005485100050016 dblp:conf/ict4ageingwell/MallatYA15 fatcat:45po34alcbcbpahgjwddzwvxha
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