Image-Based Mobility Assessment in Elderly People from Low-Cost Systems of Cameras: A Skeletal Dataset for Experimental Evaluations

2020 ◽  
pp. 125-130
Author(s):  
Laura Romeo ◽  
Roberto Marani ◽  
Antonio Petitti ◽  
Annalisa Milella ◽  
Tiziana D’Orazio ◽  
...  
Keyword(s):  
Elderly People ◽  
Low Cost ◽  
Mobility Assessment

scholarly journals Assessing the Mobility of Elderly People in Domestic Smart Home Environments

2020 ◽  
Author(s):  
Björn Friedrich ◽  
Enno-Edzard Steen ◽  
Sebastian Fudickar ◽  
Andreas Hein
Keyword(s):  
Elderly People ◽  
Smart Home ◽  
Continuous Monitoring ◽  
Early Stage ◽  
Motion Sensor ◽  
Motion Sensors ◽  
Physical Strength ◽  
Assessment Scores ◽  
Mobility Assessment ◽  
Smart Home Environments

A continuous monitoring of the physical strength and mobility of elderly people is important for maintaining their health and treating diseases at an early stage. However, frequent screenings by physicians are exceeding the logistic capacities. An alternate approach is the automatic and unobtrusive collection of functional measures by ambient sensors. In the current publication, we show the correlation among data of ambient motion sensors and the wellestablished mobility assessment Short-Physical-Performance-Battery and Tinetti. We use the average number of motion sensor events for correlation with the assessment scores. The evaluation on a real-world dataset shows a moderate to strong correlation with the scores of standardised geriatrics physical assessments.

Augmented Reality Framework for the Socialization between Elderly People

2013 ◽  
pp. 430-448 ◽  
Author(s):  
Luis Almeida ◽  
Paulo Menezes ◽  
Jorge Dias
Keyword(s):  
Virtual Reality ◽  
Augmented Reality ◽  
Elderly People ◽  
Low Cost ◽  
Well Being ◽  
Artificial Vision ◽  
Spatial Audio ◽  
Measurement Instruments ◽  
Face To Face ◽  
Mind And Body

The socialization between elderly people assumes a key role on their mind and body well-being while loneliness expects to be one of major problems of our increasing age society. This research aims to study and develop a framework to support elderly people socialization when they are confined to their homes for some reason. It can be also adequate for people following some neurological or physical rehabilitation treatment remotely or monitoring behaviors in order to prevent potential diseases. This work proposes a framework that supports the socialization through Augmented Reality (AR) based on telepresence. The aim is a low cost solution that enables users to communicate and interact remotely, experiencing the benefits of a face-to-face meeting. The authors explore computers graphics, spatial audio, and artificial vision to induce sensations of being physical in the presence of other people and exploit the potential activities that such frameworks enable. TV and phones are elderly common companion devices that should be complementarily used with emergent AR technologies to enhance and create the remote presence feeling, minimizing the loneliness. Inspired by Virtual Reality (VR) studies, one of the authors’ goals is to explore if VR presence measurement instruments are useful in the AR context by reviewing literature on the area.

Low-cost finger gesture recognition system for disabled and elderly people

2017 ◽  
Author(s):  
Tusher Chakraborty ◽  
Md. Nasim ◽  
Sakib Md Bin Malek ◽  
Md. Taksir Hasan Majumder ◽  
Mohammed Samiul Saeef ◽  
...  
Keyword(s):  
Elderly People ◽  
Gesture Recognition ◽  
Low Cost ◽  
Recognition System

Designing Smart Home Environments for Unobtrusive Monitoring for Independent Living

2016 ◽  
Vol 8 (1) ◽  
pp. 47-63 ◽  
Author(s):  
Homer Papadopoulos
Keyword(s):  
Elderly People ◽  
Research Methodology ◽  
Independent Living ◽  
Design Science ◽  
Low Cost ◽  
Science Research ◽  
The Elderly ◽  
Design Science Research ◽  
Integrated System ◽  
Design Science Research Methodology

The “Unobtrusive Smart Environments for Independent Living” EU funded project is proposing an integrated system (USEFIL system) which intends to cope with ageing problem providing advanced, affordable and unobtrusive monitoring and web communication solutions for seniors living independently. The USEFIL system enhances social care and medical service provision by exploiting “frugal” ICT solutions such as low cost “off-the-shelf” technology and unobtrusive monitoring technologies to develop services that will assist the elderly in maintaining their independence throughout their daily activities. The project adopted the Design Science Research Methodology (DSRM) to design and develop the USEFIL system because this methodology incorporates all those principles, practices, and procedures to help us meet USEFIL systems' objectives. Aim of the paper is to demonstrate the use of the DSRM process to design an ICT solution for the case study of ICT technologies for assistive living environments for elderly people. More specifically using the theoretical lens of the Design Science Research Methodology theory the paper presents the necessary steps that have been conducted to design the USEFIL system. The USEFIL system was implemented and validated over a three year period with elderly people, their unofficial carers and doctors. Results demonstrate that the technology readily succeeds in meeting the study's initial objectives. Although the project is still running and the design specification of the USEFIL system is under continuous update, the main modules that have been designed and realized will be presented in the paper.

scholarly journals An IoT-aware AAL System to Capture Behavioral Changes of Elderly People

2017 ◽  
Vol 13 (2) ◽  
pp. 68 ◽  
Author(s):  
Luca Mainetti ◽  
Luigi Patrono ◽  
Andrea Secco ◽  
Ilaria Sergi
Keyword(s):  
Elderly People ◽  
Developing Economies ◽  
Low Cost ◽  
Personal Data ◽  
The Elderly ◽  
Developed Countries ◽  
Behavioral Changes ◽  
Environment Interaction ◽  
Horizon 2020 ◽  
The Internet Of Things

The ageing of population is a phenomenon that is affecting the majority of developed countries around the world and will soon affect developing economies too. In recent years, both industry and academia are focused on the development of several solutions aimed to guarantee a healthy and safe lifestyle to the elderly. In this context, the behavioral analysis of elderly people can help to prevent the occurrence of Mild Cognitive Impairment (MCI) and frailty problems. The innovative technologies enabling the Internet of Things (IoT) can be used in order to capture personal data for automatically recognizing changes in elderly people behavior in an unobtrusive, low-cost and low-power modality. This work aims to describe the ongoing activities within the City4Age project, funded by the Horizon 2020 Programme of the European Commission, mainly focused on the use of IoT technologies to develop an innovative AAL system able to capture personal data of elderly people in their home and city environments. The proposed architecture has been validated through a proof-of-concept focused mainly on localization issues, collection of ambient parameters, and user-environment interaction aspects.

Sign in / Sign up

Export Citation Format

Share Document