492 resources related to Elderly Care
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The conference program will consist of plenary lectures, symposia, workshops and invitedsessions of the latest significant findings and developments in all the major fields of biomedical engineering.Submitted papers will be peer reviewed. Accepted high quality papers will be presented in oral and postersessions, will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE
AMC2020 is the 16th in a series of biennial international workshops on Advanced Motion Control which aims to bring together researchers from both academia and industry and to promote omnipresent motion control technologies and applications.
The International Conference on Robotics and Automation (ICRA) is the IEEE Robotics and Automation Society’s biggest conference and one of the leading international forums for robotics researchers to present their work.
The 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2020) will be held in Metro Toronto Convention Centre (MTCC), Toronto, Ontario, Canada. SMC 2020 is the flagship conference of the IEEE Systems, Man, and Cybernetics Society. It provides an international forum for researchers and practitioners to report most recent innovations and developments, summarize state-of-the-art, and exchange ideas and advances in all aspects of systems science and engineering, human machine systems, and cybernetics. Advances in these fields have increasing importance in the creation of intelligent environments involving technologies interacting with humans to provide an enriching experience and thereby improve quality of life. Papers related to the conference theme are solicited, including theories, methodologies, and emerging applications. Contributions to theory and practice, including but not limited to the following technical areas, are invited.
The scope of the 2020 IEEE/ASME AIM includes the following topics: Actuators, Automotive Systems, Bioengineering, Data Storage Systems, Electronic Packaging, Fault Diagnosis, Human-Machine Interfaces, Industry Applications, Information Technology, Intelligent Systems, Machine Vision, Manufacturing, Micro-Electro-Mechanical Systems, Micro/Nano Technology, Modeling and Design, System Identification and Adaptive Control, Motion Control, Vibration and Noise Control, Neural and Fuzzy Control, Opto-Electronic Systems, Optomechatronics, Prototyping, Real-Time and Hardware-in-the-Loop Simulation, Robotics, Sensors, System Integration, Transportation Systems, Smart Materials and Structures, Energy Harvesting and other frontier fields.
The IEEE Transactions on Automation Sciences and Engineering (T-ASE) publishes fundamental papers on Automation, emphasizing scientific results that advance efficiency, quality, productivity, and reliability. T-ASE encourages interdisciplinary approaches from computer science, control systems, electrical engineering, mathematics, mechanical engineering, operations research, and other fields. We welcome results relevant to industries such as agriculture, biotechnology, healthcare, home automation, maintenance, manufacturing, pharmaceuticals, retail, ...
The Transactions on Biomedical Circuits and Systems addresses areas at the crossroads of Circuits and Systems and Life Sciences. The main emphasis is on microelectronic issues in a wide range of applications found in life sciences, physical sciences and engineering. The primary goal of the journal is to bridge the unique scientific and technical activities of the Circuits and Systems ...
Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.
IEEE Communications Magazine was the number three most-cited journal in telecommunications and the number eighteen cited journal in electrical and electronics engineering in 2004, according to the annual Journal Citation Report (2004 edition) published by the Institute for Scientific Information. Read more at http://www.ieee.org/products/citations.html. This magazine covers all areas of communications such as lightwave telecommunications, high-speed data communications, personal communications ...
The design and manufacture of consumer electronics products, components, and related activities, particularly those used for entertainment, leisure, and educational purposes
2015 Sixth International Conference on Intelligent Systems Design and Engineering Applications (ISDEA), 2015
Rapidly aging population has become a global phenomenon. At the same time, people in modern society get busier in their career, traditional way to take care of elders in family cannot suit modern society trend. Therefore, how to utilize modern information technology into elderly care becomes an important and meaningful research issue. In this paper, we present the design, implement ...
2018 Eighth International Conference on Information Science and Technology (ICIST), 2018
The rapid aging of the global population has become a topic valued by all countries. At the same time, it also makes the issue of elderly care increasingly important. This paper focuses on elderly care institutions and proposes four care indicators. The four indicators are physiological function tracking, activity domain monitoring, fall prevention, and emergency help. This paper mainly uses ...
2013 Sixth International Conference on Developments in eSystems Engineering, 2013
Owing to demographic changes towards an increasing elderly population, research efforts have focused on exploring new service models aimed to ensure increased active and quality health and social life for the elderly. However, existing approaches often treat the elderly as compliant individuals, and deliver services through a series of discrete care episodes that hardly take account of the varied needs ...
2012 12th International Conference on Control, Automation and Systems, 2012
In this paper, we present a method of location recognition for elderly-care robot services in an indoor environment. In the proposed method, the user's location is determined more accurately through a fusion process of the available received signal strength indicator (RSSI) information and light sensor information using a wearable device. All the information is sent and stored in a server ...
2015 IEEE International Conference on Smart City/SocialCom/SustainCom (SmartCity), 2015
E-health healthcare can enable patients to access health information and medical services ubiquitously. Most elderly people may have chronic disease, and about 80% even have two or more chronic conditions. Drug misuse leads to serious consequences even beings life-threatening. In this sense, how to design an e-health care system for the elderly is an important and interesting issue. Up to ...
IEEE N3XT @ SXSW 2016: Jean Ann Booth, Unaliwear
EMBC 2011 -Keynote -The Impact of Information Technology on Health Care Delivery - John Glaser, PhD
GHTC 2012 - Improving Access to Quality Care Panel
The Invasion of Cute, Therapeutic Robots
Developing Point-of-Care Technologies
Care Innovations: WEEE and RoHs(e-waste) (com legendas em portugues)
IROS TV 2019- Living with Robots- Prof. Gentiane Venture
Care Innovations: Toxics In Electronics (com legendas em portugues)
Care Innovations: Green Engineering (com legendas em portugues)
Life Sciences - Olaf Such, Philips Healthcare interview
Biomedical Engineering at the Mayo Clinic
Roy Schoenberg AMA EMBS Individualized Healthcare
Engineering in Medicine and Biology: Segment 3
Care Innovations: Responsibility For Being Green (com legendas em portugues)
ICCE 2014: Point-Of-Care Healthcare Technologies
Bill Heetderks: Expect Technology to Reduce the Cost of Health Care
IEEE Life Sciences: Martin Kohn Interview
Promise of Point of Care Technologies - Keynote Geoffrey Ling - IEEE EMBS at NIH, 2019
Care Innovations: Toxics In Electronics
Rapidly aging population has become a global phenomenon. At the same time, people in modern society get busier in their career, traditional way to take care of elders in family cannot suit modern society trend. Therefore, how to utilize modern information technology into elderly care becomes an important and meaningful research issue. In this paper, we present the design, implement and evaluation of a localization based passive elderly care system. We believe that elders' everyday indoor position information is very helpful for elderly care. Considering privacy issue and some properties of elders, we choose radio based device-free passive (DFP) localization method to extract indoor position information. Our experiment results show that DFP method can achieve a rather high accuracy in indoor environment. Compared with other elderly care system, our system has some advantages such as easy to deploy, privacy protect, no need elders to participate etc.
The rapid aging of the global population has become a topic valued by all countries. At the same time, it also makes the issue of elderly care increasingly important. This paper focuses on elderly care institutions and proposes four care indicators. The four indicators are physiological function tracking, activity domain monitoring, fall prevention, and emergency help. This paper mainly uses smart clothes, BLE components and indoor positioning algorithm for smart elderly care system to collect the data from the residents in their daily life. After collecting the data, we will analyze the data to figure out the indicators we mention above. BLE components also have wearable detection, low power and signal loss warnings from preventing the device problem. Currently, this smart elderly care system is already imported to Taiwan's long-term care institutions.
Owing to demographic changes towards an increasing elderly population, research efforts have focused on exploring new service models aimed to ensure increased active and quality health and social life for the elderly. However, existing approaches often treat the elderly as compliant individuals, and deliver services through a series of discrete care episodes that hardly take account of the varied needs and lifestyles of the elderly, nor connect to the social networks, things and places around which the elderly have progressively built their lives. This position paper proposes to investigate the concept of personal lifestyle as an approach for informing the design of personalised e-services for elderly care. The goal is to identify the unmet needs and preferences of the elderly, and consequently develop lifestyle-oriented personalised active ageing e-services that take account of their usual habits, preconditions, preferences and circumstances in the provisioning of healthcare services to support independent living.
In this paper, we present a method of location recognition for elderly-care robot services in an indoor environment. In the proposed method, the user's location is determined more accurately through a fusion process of the available received signal strength indicator (RSSI) information and light sensor information using a wearable device. All the information is sent and stored in a server through a wireless sensor network. An acting user's device obtains the RSSI information of the neighboring fixed nodes. It also gathers illumination information in each node and extracts the feature data. The information is sent to the server wirelessly over the sensor network. The location is determined based on the fusion feature information. The proposed recognition function of the location is useful in the location tracking of elderly persons faced with an emergency situation in a nursing facility.
E-health healthcare can enable patients to access health information and medical services ubiquitously. Most elderly people may have chronic disease, and about 80% even have two or more chronic conditions. Drug misuse leads to serious consequences even beings life-threatening. In this sense, how to design an e-health care system for the elderly is an important and interesting issue. Up to date, there are various APPs to friendly remind for taking medicine. However, for most APPs, patients should type in all medical information term by term personally. Via the information and communication technologies, we propose an e-health elderly care APP by using Google Cloud Messaging (GCM). Via using push notification from GCM, our e-health services provide the elderly with health information (e.g., prescription, medication instruction, taking-medicine time, reminding schedule back to the clinic, health nursing) through smartphone automatically after seeing a doctor.
This paper proposes a hand posture recognition as an assistive tool for elderly care. The system uses Haar-like feature, Principle Component Analysis (PCA), and simulation web server for detection, recognition, and alert by order. Our system interprets the hand sign captured by web camera and alerts a caregiver via smart phone. Besides, a caregiver can also periodically check needs of an elder from a smart phone. So a caregiver can do other tasks more efficiently because he/she need not to be with an elder at all times. The empirical results show satisfactory performance of PCA and contour detection with hand posture recognition.
As aging society is inevitable, it is necessary to seek a reasonable elderly care model to face this problem. One of the solution is the construction of elderly care community. This study aims at exploring the ways to improve the services of elderly care community under the background of rapid developing Smart City technologies. Through interview and questionnaire, this paper gets the basic information and data about the present situation of elderly care services including demands, satisfaction and so on. By analyzing the data, the phenomenon is found that except for taking part in outdoor activities with the purpose of entertainment or exercise, the elderly tend to reduce travels within the community appropriately. In addition, it is found the elderly want to get more travel service with appropriate price to make life more convenient. According to these investigation results, this paper provides some methods based on Smart City technology to improve the travel status of elderly, like using the intelligence platform to improve quality of travel- related services in the elderly care community, which can be a reference for the construction of the future elderly care community.
With the rapid development of it's economy, the aging population in China is getting larger. Therefore, effectively addressing the nursing problem of the elders and meeting their demands has become a major concern in Chinese society. As science and technology advances, wearable devices have become ubiquitous because of their unique features, such as portability and ease of use, which might be a feasible tool to provide desired service so as to solve such nursing problem of aging population. This paper conducts a user experiment with questionnaires to study the actual situation of current community nursing service from seven regions in order to collect user requirements of wearable devices and provides design method and guidelines for product designers of wearble device.
Over the last few decades, the world population structure has changed dramatically where the number of elderly people increases and that of young people decreases. The number of elderly people has now quadrupled from its number in 1950. It is projected to reach around the 2 billion by 2050. These statistics strongly indicate the fact that we are entering a super-aged society. Elderly people are usually encountered several problems resulting from age-related diseases. One of the major problems in the elderly is a decline in physical ability, generally called Immobility. Immobility consequently leads to a decline in ability to carry out Activities of Daily Living (ADLs), increased falls and other medical problems. It has significant effects on both physiological and psychological conditions of elderly people. To support medical staffs and caregivers, we propose an immobility tracking system that can analyze physical activities and identify immobility behavior of the elderly in timely fashion. Our system exploits an activity recognition service as a stream component. It utilizes acceleration force and angular velocity data derived from mobile-phone worn on the waist of the elderly to remotely monitor mobility-related activities of the elderly in real-time. The experimental results show that our proposed system achieves a high activity recognition rate - about 93.5% for overall accuracy with reasonable processing overheads.
This presentation illustrates social welfare andelderly care system and issues in three countries, Japan, Norway, and the United States, and discuss how to solve social problemsby using civic technologies.
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