619 research outputs found
Crowd-based ambient assisted living to monitor the elderly's health outdoors
The Safeneighborhood Approach Combines Data From Multiple Sources With Collective Intelligence. It Merges Mobile, Ambient, And Ai Technologies With Old-Fashioned Neighborhood Ties To Create Safe Outdoor Spaces For The Elderly. We'
Re Exploring Aal Techniques In Outdoor Environments To Increase The Elderly'
S Independence Without Them Having To Interact With Technology. Current Research In Outdoor Monitoring Relies Solely On Sensor Data.4 Our Approach, Which We Call Safeneigborhood (Sn), Crowdsources People In The Neighborhood To Revise The Computer'
S Inferences From Contextual And Sensor Data. So, Sn Brings The Community Together To Provide A Safer Environment For The Elderly
Distributed Computing and Monitoring Technologies for Older Patients
This book summarizes various approaches for the automatic detection of health threats to older patients at home living alone. The text begins by briefly describing those who would most benefit from healthcare supervision. The book then summarizes possible scenarios for monitoring an older patient at home, deriving the common functional requirements for monitoring technology. Next, the work identifies the state of the art of technological monitoring approaches that are practically applicable to geriatric patients. A survey is presented on a range of such interdisciplinary fields as smart homes, telemonitoring, ambient intelligence, ambient assisted living, gerontechnology, and aging-in-place technology. The book discusses relevant experimental studies, highlighting the application of sensor fusion, signal processing and machine learning techniques. Finally, the text discusses future challenges, offering a number of suggestions for further research directions
Monitoring elderly behavior via indoor position-based stigmergy
In this paper we present a novel approach for monitoring elderly people living alone and independently in their own homes. The proposed system is able to detect behavioral deviations of the routine indoor activities on the basis of a generic indoor localization system and a swarm intelligence method. For this reason, an in-depth study on the error modeling of state-of-the-art indoor localization systems is presented in order to test the proposed system under different conditions in terms of localization error.
More specifically, spatiotemporal tracks provided by the indoor localization system are augmented, via marker-based stigmergy, in order to enable their self-organization. This allows a marking structure appearing and staying spontaneously at runtime, when some local dynamism occurs. At a second level of processing, similarity evaluation is performed between stigmergic marks over different time periods in order to assess deviations. The purpose of this approach is to overcome an explicit modeling of user's activities and behaviors that is very inefficient to be managed, as it works only if the user does not stray too far from the conditions under which these explicit representations were formulated. The effectiveness of the proposed system has been experimented on real-world scenarios. The paper includes the problem statement and its characterization in the literature, as well as the proposed solving approach and experimental settings
A Mobile Healthcare Solution for Ambient Assisted Living Environments
Elderly people need regular healthcare services and, several times,
are dependent of physicians’ personal attendance. This dependence raises
several issues to elders, such as, the need to travel and mobility support.
Ambient Assisted Living (AAL) and Mobile Health (m-Health) services and
applications offer good healthcare solutions that can be used both on
indoor and in mobility environments. This dissertation presents an ambient
assisted living (AAL) solution for mobile environments.
It includes elderly biofeedback monitoring using body sensors for data
collection offering support for remote monitoring. The used sensors are
attached to the human body (such as the electrocardiogram, blood
pressure, and temperature). They collect data providing comfort, mobility,
and guaranteeing efficiency and data confidentiality. Periodic collection of
patients’ data is important to gather more accurate measurements and to
avoid common risky situations, like a physical fall may be considered
something natural in life span and it is more dangerous for senior people.
One fall can out a life in extreme cases or cause fractures, injuries, but
when it is early detected through an accelerometer, for example, it can
avoid a tragic outcome.
The presented proposal monitors elderly people, storing collected
data in a personal computer, tablet, or smartphone through Bluetooth. This
application allows an analysis of possible health condition warnings based
on the input of supporting charts, and real-time bio-signals monitoring and
is able to warn users and the caretakers. These mobile devices are also used to collect data, which allow data
storage and its possible consultation in the future. The proposed system is
evaluated, demonstrated and validated through a prototype and it is ready
for use. The watch Texas ez430-Chronos, which is capable to store
information for later analysis and the sensors Shimmer who allow the
creation of a personalized application that it is capable of measuring biosignals
of the patient in real time is described throughout this dissertation
SHELDON Smart habitat for the elderly.
An insightful document concerning active and assisted living under different perspectives: Furniture and habitat, ICT solutions and Healthcare
When technology cares for people with dementia:A critical review using neuropsychological rehabilitation as a conceptual framework
Clinicians and researchers have become increasingly interested in the potential of technology in assisting persons with dementia (PwD). However, several issues have emerged in relation to how studies have conceptualized who the main technology user is (PwD/carer), how technology is used (as compensatory, environment modification, monitoring or retraining tool), why it is used (i.e., what impairments and/or disabilities are supported) and what variables have been considered as relevant to support engagement with technology. In this review we adopted a Neuropsychological Rehabilitation perspective to analyse 253 studies reporting on technological solutions for PwD. We analysed purposes/uses, supported impairments and disabilities and how engagement was considered. Findings showed that the most frequent purposes of technology use were compensation and monitoring, supporting orientation, sequencing complex actions and memory impairments in a wide range of activities. The few studies that addressed the issue of engagement with technology considered how the ease of use, social appropriateness, level of personalization, dynamic adaptation and carers' mediation allowed technology to adapt to PWD's and carers' preferences and performance. Conceptual and methodological tools emerged as outcomes of the analytical process, representing an important contribution to understanding the role of technologies to increase PwD's wellbeing and orient future research.University of Huddersfield, under grants URF301-01 and URF506-01
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Mobile assistive technologies for the visually impaired
There are around 285 million visually impaired people worldwide, and around 370,000 people are registered as blind or partially sighted in the UK. Ongoing advances in information technology (IT) are increasing the scope for IT-based mobile assistive technologies to facilitate the independence, safety, and improved quality of life of the visually impaired. Research is being directed at making mobile phones and other handheld devices accessible via our haptic (touch) and audio sensory channels. We review research and innovation within the field of mobile assistive technology for the visually impaired and, in so doing, highlight the need for successful collaboration between clinical expertise, computer science, and domain users to realize fully the potential benefits of such technologies. We initially reflect on research that has been conducted to make mobile phones more accessible to people with vision loss. We then discuss innovative assistive applications designed for the visually impaired that are either delivered via mainstream devices and can be used while in motion (e.g., mobile phones) or are embedded within an environment that may be in motion (e.g., public transport) or within which the user may be in motion (e.g., smart homes)
Recovery in sensory-enriched break environments: Integrating vision, sound and scent into simulated indoor and outdoor environments
To deal with stress and exhaustion at work, personal resources need to be replenished during breaks. The aim of this laboratory study (n = 122
students) was to test the restorative potential of sensory-enriched break environments (SEBEs) in a between-subjects with repeated measures
design, focusing on the type of the environment (natural outdoor vs. built indoor environment) and sensory input (no sensory input vs. audiovisual input vs. audiovisual and olfactory input). Analyses showed that SEBEs
simulating either a natural or a lounge environment were perceived as more pleasant and restorative (fascination/being away) than a standard break room, which in turn facilitated the recovery of personal resources (mood, fatigue, arousal). Moreover, adding a congruent scent to an audiovisual simulation indirectly facilitated the recovery of personal resources via greater scent pleasantness and higher fascination and being away. The current study shows opportunities for sensory enrichment to
foster restoration in break environments
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