A Virtual Caregiver for Assisted Daily Living of Pre-frail Users

Renoux, Jennifer; Luperto, Matteo; Basilico, Nicola; Romeo, Marta; Milis, Marios; Lunardini, Francesca; Ferrante, Simona; Loutfi, Amy; Borghese, N. Alberto

doi:10.1007/978-3-030-58285-2_13

Cited by 7 publications

(11 citation statements)

References 14 publications

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“…Simply while having the option to distinguish a vehicle with a driver inside—rather than it being some other item moving past the visual edge like a bird—would AI be able to begin to see the value in addition with regard to it. When it knows it is a vehicle, it can gauge speed and decide if the vehicle is going quicker than the allowed speed limit [ 14 ].…”

Section: Introductionmentioning

confidence: 99%

Research on Material Design of Medical Products for Elderly Families Based on Artificial Intelligence

Rong

Xin

et al. 2022

Applied Bionics and Biomechanics

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Due to the rapid growth of the elderly around the world, the artificial intelligence control framework can collect information and apply it and perform other tasks. Artificial intelligence plays an important role in focusing on the elderly. For example, it can improve the relationship between the elderly and family members or nursing teams. In addition, AI chat robot can communicate with the elderly without obstacles and can remind the elderly when to take medicine, regular physical examination, etc. A significant number of the AI applications on cell phones accessible today could screen wellbeing information, like every day exercises, diet, and surprisingly the senior’s way of life, in a less nosy way. In such cases, it could help in expecting and, subsequently, forestalling any conceivable hypertension or unpredictable heart rate. Essentially, mechanical ‘pets’ are likewise assisting with fighting off feelings of loneliness, while additionally assisting with upgrading patient consideration simultaneously. One model is Tombot, a little dog like model, which was made to diminish misery and tension among dementia patients. Its head developments, looks, and swaying tail feel basically the same as the real thing, causing occupants to feel as though they have their very own pet to really focus on. One of the issues that growing societies are presently facing is the care of elderly individuals. The dearth of skilled workers in the senior healthcare setting has been exacerbated by the worldwide shift of aging populations. There might be an enhanced need for old nursing since the global older demographic is expected to nearly triple in the coming three decades. There are advancements in computer technologies for supporting the aged plus associated caregivers, checking their wellbeing, and offering company to them. Given the global elderly demographic development possibilities, it is no coincidence that the aided care market is drawing fast advancement, rendering health management for nurses a breeze. While the world’s governments manage the aging population next years, these ideas will become extremely vital. They will almost certainly encounter economic and political demands to modify state medical care management, retirement benefits, and social security in order to meet the needs of an aging population. Considering that the demand for physicians is growing, a necessity has developed to deliver individualized care for the aged as well as to respond appropriately in emergencies. As a result, in the technological society, healthcare is exploring artificial intelligence to deliver personalized treatment to individuals in need. The challenges of the aged are determined in this study, and answers are supplied via a tailored computer (robot). With the crucial details given via Internet of Things gadgets, emergency events may be foreseen relatively promptly, and appropriate actions can be proposed by AI technology. Individuals’ vital health information is collected using the Internet of Things based on smart technology. The information is evaluated, and decisions are made by AI, while the developed machine performs the appropriate task. This research, therefore, looks at the material design of medical products for elderly people based on artificial intelligence. It goes further and explains some of the challenges encountered in the process and possible remedies.

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Section: Introductionmentioning

confidence: 99%

Research on Material Design of Medical Products for Elderly Families Based on Artificial Intelligence

Rong

Xin

et al. 2022

Applied Bionics and Biomechanics

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“…The user is asked to answer questions [55] Grip Force Measurement Monitoring Users play a game exercising their max grip force on a smart ball [34] Use of Smart Objects Monitoring One of the smart objects, which collects data, is used [34,35] Social Cognitive Games Social/Cognitive Stimulation Users play a game on the CBAC while talking with other users [5,39,62] Gentle Exercises Physical/Social Stimulation Users do a training session on the CBAC while talking with other users [5] Balance Exergames…”

Section: Monitoringmentioning

confidence: 99%

“…In the remainder of this section, we will provide some details about VC's modules and their role in the various sce-narios. A preliminary version of this component has been presented in [55].…”

Section: Intelligent Virtual Caregivermentioning

confidence: 99%

Integrating Social Assistive Robots, IoT, Virtual Communities and Smart Objects to Assist at-Home Independently Living Elders: the MoveCare Project

Luperto

Monroy

Renoux

et al. 2022

Int J of Soc Robotics

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The integration of Ambient Assisted Living (AAL) frameworks with Socially Assistive Robots (SARs) has proven useful for monitoring and assisting older adults in their own home. However, the difficulties associated with long-term deployments in real-world complex environments are still highly under-explored. In this work, we first present the MoveCare system, an unobtrusive platform that, through the integration of a SAR into an AAL framework, aimed to monitor, assist and provide social, cognitive, and physical stimulation in the own houses of elders living alone and at risk of falling into frailty. We then focus on the evaluation and analysis of a long-term pilot campaign of more than 300 weeks of usages. We evaluated the system’s acceptability and feasibility through various questionnaires and empirically assessed the impact of the presence of an assistive robot by deploying the system with and without it. Our results provide strong empirical evidence that Socially Assistive Robots integrated with monitoring and stimulation platforms can be successfully used for long-term support to older adults. We describe how the robot’s presence significantly incentivised the use of the system, but slightly lowered the system’s overall acceptability. Finally, we emphasise that real-world long-term deployment of SARs introduces a significant technical, organisational, and logistical overhead that should not be neglected nor underestimated in the pursuit of long-term robust systems. We hope that the findings and lessons learned from our work can bring value towards future long-term real-world and widespread use of SARs.

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“…The MoveCare system is an AAL framework developed around Giraff-X, an autonomous mobile SAR, and is composed of several components installed in the apartments of older adults living independently on their own [26]. Besides the robot, the other components are an Internet of Things (IoT) network, which is used to monitor the user and to provide information to the other components, a Community Based Activity Center (CBAC) [28], and a Virtual Caregiver (VC), a software component acting as platform orchestrator [38].…”

Section: System Architecturementioning

confidence: 99%

“…The robot is constantly informed by the VC of the estimated room where the user could be located (see Section 3.2 and [38]) using data coming from PIR sensors. However useful, this information could be inaccurate, as the user may be moving back and forth between different rooms (thus triggering different PIRs) or may stay still for a long time, and hence not being detected by the motion sensors (e.g., sitting when working at a table ).…”

Section: Search For the Usermentioning

confidence: 99%

User feedback and remote supervision for assisted living with mobile robots: A field study in long-term autonomy

Luperto

Romeo

Monroy

et al. 2022

Robotics and Autonomous Systems

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A Virtual Caregiver for Assisted Daily Living of Pre-frail Users

Cited by 7 publications

References 14 publications

Research on Material Design of Medical Products for Elderly Families Based on Artificial Intelligence

Research on Material Design of Medical Products for Elderly Families Based on Artificial Intelligence

Integrating Social Assistive Robots, IoT, Virtual Communities and Smart Objects to Assist at-Home Independently Living Elders: the MoveCare Project

User feedback and remote supervision for assisted living with mobile robots: A field study in long-term autonomy

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