Query: Human Care elderly

title: Exploring Human Robot Interaction with the Elderly: Results from a Ten Week Case Study in a Care Home
abstract: Ageing societies and the associated pressure on the care systems are major drivers for new developments in socially assistive robotics. To understand better the real world potential of robot based assistance, we undertook a 10 week case study in a care home involving groups of residents, caregivers and managers as stakeholders. We identified both, enablers and barriers to the potential implementation of robot systems. The study employed the robot platform Pepper, which was deployed with a view to understanding better multi domain interventions with a robot supporting physical activation, cognitive training and social facilitation. We employed the robot in a group setting in a care facility over the course of 10 weeks and 20 sessions, observing how stakeholders, including residents and caregivers, appropriated, adapted to, and perceived the robot. We also conducted interviews with 11 residents and caregivers. Our results indicate that the residents were positively engaged in the training sessions that were moderated by the robot. The study revealed that such humanoid robots can work in a care home but that there is a moderating person needed, that is in control of the robot.

title: [The significance of home care in caring for the elderly in their twilight years: the human perspective of the SUS professional]
abstract: The access to healthcare of elderly individuals in their twilight years needing palliative care in the home serve as a wake up call in terms of current healthcare programs and strategies. This study seeks to analyze the relevance of home visits within the scope of primary healthcare actions for the elderly from the standpoint of professionals of the Unified Health System (SUS) It is a study with a qualitative theoretical and methodological approach, involving comprehensive research together with 12 health professionals, based on the thinking of German philosopher Hans Georg Gadamer. The data were systematized and analyzed using the Content Analysis method and interpreted by means of philosophical hermeneutics. It is perceived that home visits for the elderly are somewhat stressful, albeit effective, which generate human processes of trust and collective action for care with respect to the condition of others. The consensus of home visits embraces the dialogical reflection of the representation of human care and solidarity in the work of SUS. It is believed that this study will provide guidelines such that primary care managers may reflect on how important, necessary, and stressful the performance of home care in the Brazilian reality is in practice.

title: IoT Wearable Sensors and Devices in Elderly Care: A Literature Review
abstract: The increasing ageing global population is causing an upsurge in ailments related to old age, primarily dementia and Alzheimer's disease, frailty, Parkinson's, and cardiovascular disease, but also a general need for general eldercare as well as active and healthy ageing. In turn, there is a need for constant monitoring and assistance, intervention, and support, causing a considerable financial and human burden on individuals and their caregivers. Interconnected sensing technology, such as IoT wearables and devices, present a promising solution for objective, reliable, and remote monitoring, assessment, and support through ambient assisted living. This paper presents a review of such solutions including both earlier review studies and individual case studies, rapidly evolving in the last decade. In doing so, it examines and categorizes them according to common aspects of interest such as health focus, from specific ailments to general eldercare; IoT technologies, from wearables to smart home sensors; aims, from assessment to fall detection and indoor positioning to intervention; and experimental evaluation participants duration and outcome measures, from acceptability to accuracy. Statistics drawn from this categorization aim to outline the current state of the art, as well as trends and effective practices for the future of effective, accessible, and acceptable eldercare with technology.

title: A Robotic System for Elderly Care and Monitoring using Human Robot Interaction
abstract: Human Robot Interaction is an emerging field in the area of robotics and growth in this field finds application in several areas of the society. In this paper an initial progress of the design of a robotic system for elderly care is proposed. The paper describes the basic architecture of this proposed system and presents an initial implementation of this robot. This is a work in progress, and the robotic system will be updated and developed as the research progresses when more sensors and other components are interfaced providing more functionalities to the robot. Also, another goal of the project is contribution in undergraduate electrical and computer engineering education where students understand and learn to work on both hardware and software aspects in the design of an assistive robotic system.

title: Persuasive and Polite Sentences to Drive Human Robot Interaction in Smart Homes for Elderly Care
abstract: This paper addresses a scenario where a smart environment drives a proactive robot to motivate the elderly in maintaining a healthy lifestyle. The robot is in charge to trigger a vocal interaction with the person by proposing a suggestion that is polite and persuasive. We focus on the representation of sentences based on some attributes and, through spatial and temporal reasoning, we classify them over time. In an ontology, attributes are used to classify sentences and decide if the robot should start an interaction, and with which sentence. We present a preliminary implementation of the system, and we show that it is suitable for undertaking an iterative development process guided by domain experts toward a polite and persuasive virtual coaching.

title: Design and Implementation of ADL Content with VR Sensor at a Smart Human Care Service
abstract: This paper deals with the development of the content of Activity of Daily Life (ADL) based on VR (virtual reality) for cognitive function training for the elderly. The proposed ADL content has been developed focusing on a feedback technique based on performance analysis unlike in the existing VR based cognitive training content wherein the customized training management based on performance evaluation was difficult. Experiments were conducted with 30 elderly people in the welfare center for 3 months. As a result of the effectiveness evaluation, the proposed ADL content showed higher results in all aspects of immersion, satisfaction, and performance. It is expected that user departure from existing ADL content will be prevented, and various artificial intelligence researches will be carried out to improve the technology accuracy to provide customized difficulty which is an important factor.

title: Human Factor in Designing an Elderly Care Ecosystem
abstract: This chapter provides a brief overview of the demographic evolution and aging process, introducing a collaborative framework to assist senior citizens. The importance of supporting the age related care needs, and the potential technologies for aging support are highlighted. A conceptual model for an elderly care ecosystem (ECE) and methods for care service personalization and evolution based on a collaborative environment are presented. To facilitate the consideration of human factors in the early design stage of ECE, a care need goals taxonomy and human centered design principles are introduced. Customer, service, and service provider template profiles to design the elderly care ecosystem are proposed. Experimental results and feedback from lead users are presented and discussed. The goal of the ECE framework is to provide assistance in service recommendation (and adaptation) for the elderly care domain taking into account human factors.

title: A Survey on Anomalous Behavior Detection for Elderly Care Using Dense Sensing Networks
abstract: Facing the gradual ageing society, elderly people living independently are in need of serious attention. In order to assist them to live in a safer environment, the increasing cost of nursing care and the shortage of health care workers urges the demand of home based assisted living in recent times. Therefore, home based health care has become an active research domain, particularly the abnormal activities detection involving information and communications technologies. This survey paper highlights this kind of technologies that exist for human anomalous behavior detection. It also reviews and discusses the current research trends, their outcomes and effects in elderly care. Our study is mainly focused on dense sensing network based activities and anomaly detection, which are robust to environment change, non intrusive, user friendly in the sense that do not require the occupant to wear any devices. From our study, we observe that employing sensor fusion techniques could significantly increases the efficiency of dense sensing network. In addition, sensor fusion models ensure a high level of robustness and effectiveness compared to the traditional methods.

title: Toward a Sociable and Dependable Elderly Care Robot: Design, Implementation and User Study
abstract: A critical demand for innovation in elderly care, especially in delivering the quality of service to elderlies, arises as many parts of the world are rapidly in transition to an elderly society. The advancement of robotic technologies, especially, in cognitive robotics and sociable human robot interaction offers a great opportunity for meeting such demand. This paper presents the design and implementation of a next generation of elderly care robot, named as "HomeMate," based on an innovative undertaking in its sociability and dependability with extensive user studies. The elderlies taken care of by Senior Welfare Centers are chosen as the target sector, for which the following five service scenarios are designed: infotainment, video chatting, game playing, medicine alarm and, in particular, errand services. Unlike conventional approaches, the scenarios are designed here to ensure the overall quality of service by maximizing the synergy under an elderly caregiver service robot ecosystem. The unique features implemented in HomeMate include 1) the principle of affordance in appearance design by matching functionality and anthropomorphism indices, 2) the sociability implemented by balancing between autonomy and user controllability as well as by integrating multimodal interactions into HomeMate avatar, and 3) the emphasis on dependability to inspire confidence on HomeMate as a trusted assistant, for which the principle of dependability is proposed and implemented with a cognitive framework. Experiments and user studies strongly support the proposed design principles and verify the dependability in performance.

title: HIV care among elderly population: Systematic review and meta analysis.
abstract: Elderly people living with HIV are increasing. At present in United States, nearly half of newly diagnosed HIV infected people are aged more than fifty years. Diagnosis and treatment of HIV infected elderly patients tends to be delayed by several health care factors as several life threatening diseases are common in elderly people. Present study aimed to find the pooled HIV prevalence in elderly population and the present situation of continuum care for the elderly HIV patients through systematic review and meta analysis. All previously published articles from 2000 to 2018 are retrieved using MEDLINE, PUBMED, Cochrane Library, EMBASE, Google Scholar. DerSimonian and Laird Random Effects model are used to critically appraise articles. STATA 13.0 is used to perform the Meta analysis and Q GIS is used to prepare desired map. I2 statistics has been used to test heterogeneity and publication biases. Results have been presented using forest plots. A total of 28 studies are included in this meta analysis. Present analysis revealed pooled prevalence of HIV in elderly population as 15.79 with a lower rate of in viral suppression as 11.524% (95% CI: 11.199, 11.855) where a moderate number 38.643% (95% CI: 38.289, 38.997) of elderly patients received ART globally. The ART retention rate was 12.769% (95% CI: 12.540, 13.001) with 6.15% (95% CI: 6.089, 6.212) mortality. Despite successful administration of Antiretroviral therapy in developing part of the world that have relatively higher retention rates among HIV infected elderly patients only a small percentage are virally suppressed, largely due to elderly drugs interacts with ART and several comorbidities reduces the life span of the elderly people.