A Review on the Use of Mobile Service Robots in Elderly Care

Asgharian, Pouyan; Panchea, Adina M.; Ferland, François

doi:10.3390/robotics11060127

Cited by 31 publications

(17 citation statements)

References 145 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Furthermore, because robots monitor numerous environmental variables, they should ensure individual freedoms for elderly users by decreasing the numbers of sensors or providing clarity prior to use. Furthermore, ethical and cost considerations should be prioritized in the designing and developing [31].…”

Section: Reviewmentioning

confidence: 99%

Robots for Elderly Care: Review, Multi-Criteria Optimization Model and Qualitative Case Study

et al. 2023

View full text Add to dashboard Cite

This paper focuses on three areas: the first is a review of current knowledge about social and service robots for elderly care. The second is an optimization conceptual model aimed at maximizing the efficiency of assigning robots to serve the elderly. The proposed multi-criteria optimization model is the first one proposed in the area of optimization for robot assignment for the elderly with robot utilization level and caregiver stress level. The third is the findings of studies on the needs, requirements, and adoption of technology in elderly care. We consider the use of robots as a part of the ENRICHME project for long-term interaction and monitoring of older persons with mild cognitive impairment, to optimize their independence. Additionally, we performed focus group discussions (FGD) to collect opinions about robot-related requirements of the elderly and their caregivers. Four FDGs of six persons were organized: two comprising older adults, and two of the other formal and informal caregivers, based on a detailed script. The statements of older participants and their caregivers were consistent in several areas. The analysis revealed user characteristics, robot-related issues, functionality, and barriers to overcome before the deployment of the robot. An introduction of the robot must be thoroughly planned, include comprehensive pre-training, and take the ethical and practical issues into account. The involvement of future users in the customization of the robot is essential.

show abstract

Section: Reviewmentioning

confidence: 99%

Robots for Elderly Care: Review, Multi-Criteria Optimization Model and Qualitative Case Study

et al. 2023

View full text Add to dashboard Cite

show abstract

“…According to a recent report published by the United Nations, the world population for people over 60 has surpassed the younger age groups and can be considered now about 16% of the Earth's population [1]. Normally, people of that age suffer from loneliness, social isolation, a lack of daily engagement, and a lack of physical and mental monitoring [2]. Such problems can lead to serious medical problems such as heart diseases, stroke, Type 2 diabetes, depression, anxiety, suicidal thinking, self-harm, and dementia.…”

Section: Introductionmentioning

confidence: 99%

New Eldercare Robot with Path-Planning and Fall-Detection Capabilities

Elwaly,

Abdellatif,

El-Shaer

2024

Applied Sciences

View full text Add to dashboard Cite

The rapid growth of the elderly population has led to an increased demand for effective and personalized eldercare solutions. In this paper, the design and development of an eldercare robot is presented. This robot is specifically tailored to meet the two specific challenges faced by the elderly. The first is the continuous indoor tracking of the elder, while the second is the fall detection. A comprehensive overview of the hardware and software components, as well as the control architecture of the robot is presented. The hardware design of the robot incorporates a range of features, including a perception system comprising a 2D Lidar, IMU, and camera for environment mapping, localization, and fall detection. The software stack of the robot is explained as consisting of layers for perception, mapping, and localization. The robot is tested experimentally to validate its path planning capability by using Hector SLAM and the RRT* technique. Experimental path planning has shown a positioning accuracy of 93.8% on average. Elderly fall detection is achieved by using the YOLOv7 algorithm at a percentage of 96%. Experimental results have been discussed and evaluated.

show abstract

“…Technological advances in recent decades have resulted in smaller and less intrusive monitoring devices that are suitable for use in daily life, as well as efficient algorithms that are able to deal with complex and large datasets. The technologies most commonly used to monitor and engage the elderly are computers [ 21 ] and mobile devices [ 9 , 20 , 22 , 28 , 35 ], wearable sensors [ 10 , 23 , 36 , 37 , 38 ], ambient sensors [ 18 , 23 , 24 ], virtual reality systems [ 15 , 17 , 25 ], and robots [ 8 , 39 ]. The monitoring of the elderly includes two areas: the monitoring of the body [ 10 , 15 , 21 , 37 , 40 ] and the monitoring of the mind [ 9 , 15 , 25 ].…”

Section: Introductionmentioning

confidence: 99%

The Problem of Monitoring the Psycho-Physical Condition of Seniors during Proposed Activities in Urban Space

Lach

Szewczenko

Bursiewicz

et al. 2023

Sensors

View full text Add to dashboard Cite

The world’s population is rapidly ageing, which places a heavy burden on traditional healthcare systems with increased economic and social costs. Technology can assist in the implementation of strategies that enable active and independent ageing by promoting and motivating health-related behaviours, monitoring, and collecting data on daily life for assessment and for aiding in independent living. ICT (Information and Communication Technology) tools can help prevent cognitive and physical decline and social isolation, and enable elderly people to live independently. In this paper, we introduced a comprehensive tool for guiding seniors along the designed urban health paths employing urban architecture as an impulse to perform physical and cognitive exercises. The behaviour of seniors is monitored during their activities using wearable sensors and mobile application. We distinguished three types of data recipients (seniors, path/exercise designers, and the public), for whom we proposed methods of analysing the obtained data and examples of their use. In this work, a wide range of diverse information was examined from which short- and long-term patterns can be drawn. We have also shown that by fusing sensory data and data from mobile applications, we can give context to sensory data, thanks to which we can formulate more insightful assessments of seniors’ behaviour.

show abstract

A Review on the Use of Mobile Service Robots in Elderly Care

Cited by 31 publications

References 145 publications

Robots for Elderly Care: Review, Multi-Criteria Optimization Model and Qualitative Case Study

Robots for Elderly Care: Review, Multi-Criteria Optimization Model and Qualitative Case Study

New Eldercare Robot with Path-Planning and Fall-Detection Capabilities

The Problem of Monitoring the Psycho-Physical Condition of Seniors during Proposed Activities in Urban Space

Contact Info

Product

Resources

About