Management of medication using a mobile robot and artificial intelligence

Jun, Kooksung; Oh, Sojin; Lee, Deok-Won; Kim, Mun Sang

doi:10.1109/tensymp52854.2021.9550863

Cited by 3 publications

(4 citation statements)

References 4 publications

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“…The fifth scientific publication, titled "Management of Medication using a Mobile Robot and Artificial Intelligence" [71], addresses a pivotal concern for the elderly, i.e., medication adherence, by ingeniously integrating mobile robotics and AI. The authors propose a novel approach employing a mobile robot guided by ultrawideband (UWB)-based navigation, collaboratively with AI capabilities.…”

Section: The Analysis Of Ai Literaturementioning

confidence: 99%

“…Italy (53), Lithuania (55), Slovakia (57), Ireland (58), Greece (59), Malta (59), Portugal (59), Luxembourg (60), Estonia (62), Spain (67), Czech Republic (70), Latvia (70), Hungary (71), France (74), Finland (75), Austria (77), Germany (79), Belgium (81), Slovenia (81), Sweden (87), Denmark (89), Netherlands (100) 1 Each country has its score enclosed in brackets. Source: Data provided by the Culture Factor Group website [59]distribution in groups performed by the authors.…”

Section: • Individualismmentioning

confidence: 99%

“…Bulgaria (51), Czech Republic (51), Greece (51), Ireland (51), Sweden (52), Slovakia (53), Germany (57), Denmark (59), France (60), Belgium (61), Finland (63), Luxembourg (64), Netherlands (67), Latvia (69), Estonia (71) The countries included in the two groups, according to their scores on the Long-Term Orientation dimension of Hofstede's Model, actually indicate a variety of cultural and socioeconomic contexts that can influence the approach and implementation of measures for the development of digital skills and the adoption of AI by older people.…”

Section: Group 1 Groupmentioning

confidence: 99%

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Perspectives on Artificial Intelligence Adoption for European Union Elderly in the Context of Digital Skills Development

Bogoslov,

Corman,

Lungu

2024

Sustainability

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In today’s digitalized era, embracing new and emerging technologies is a requirement to remain competitive. The present research investigates the adoption of artificial intelligence (AI) by the elderly in the European landscape, emphasizing the importance of individuals’ digital skills. As has already been globally recognized, the most imminent demographic challenge is no longer represented by the rapid growth of the population but by its aging. Thus, the paper initially analyzed European perspectives on AI adoption, also discussing the importance of focusing on seniors. A bibliometric analysis was required afterward, and the review of the resulting relevant scientific publications uncovered gaps in understanding the relationship between older individuals and AI, particularly in terms of digital competence. Further exploration considered the EU population’s digital literacy and cultural influences using Hofstede’s model, while also identifying potential ways to improve the elderly’s digital skills and promote the adoption of AI. Results indicate a growing interest in AI adoption among the elderly, underscoring the urgent need for digital skills development. The imperative of personalized approach implementations, such as specialized courses, personalized training sessions, or mentoring programs, was underscored. Moreover, the importance of targeted strategies and collaborative efforts to ensure equitable participation in the digital age was identified as a prerequisite for AI adoption by seniors. In terms of potential implications, the research can serve as a starting point for various stakeholders in promoting an effective and sustainable adoption of AI among older citizens in the EU.

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Section: The Analysis Of Ai Literaturementioning

confidence: 99%

Section: • Individualismmentioning

confidence: 99%

Section: Group 1 Groupmentioning

confidence: 99%

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Perspectives on Artificial Intelligence Adoption for European Union Elderly in the Context of Digital Skills Development

Bogoslov,

Corman,

Lungu

2024

Sustainability

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“…Lee and Youm proposed utilizing a wearable watch to collect users' medication images, which were then uploaded to a cloud server for analysis [16]. Jun et al proposed applying the gated recurrent unit-based neural network to classify 3D human skeletons in determining whether the medicines have been taken [17]. Further, Osawa, Huang, and Yu proposed using the Support Vector Machine (SVM) to classify depth images of hand motions during medication intake [18].…”

Section: Introductionmentioning

confidence: 99%

Autonomous Fever Detection, Medicine Delivery, and Environmental Disinfection for Pandemic Prevention

Su,

Young

2023

Applied Sciences

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In facing the outbreak of the pandemic, robots are highly appealing for their non-contact nature. Among them, we have selected the mobile robot manipulator to develop an autonomous system for pandemic prevention, as it possesses both mobility and manipulability. The robot was used as a platform for performing autonomous fever detection, medicine delivery, and environmental disinfection system for the fever station and isolation ward, which are the two primary units that deal with the pandemic in a hospital. The proposed novel algorithms aim to ensure both human safety and comfort by automating fever detection and recognizing medicine taking. Additionally, they address environmental disinfection by effectively covering blind spots. We conducted a series of experiments to evaluate their performance in a hospital-like setting, which was designed specifically for the testing of intelligent medical systems developed in our university. Quantitative assessment was administered to analyze how the introduction of the proposed autonomous system reduced the risk of infection, and feedback was also collected from participants through questionnaires.

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Automatic pathological gait recognition by a mobile robot using ultrawideband-based localization and a depth camera

Jun

Lee

et al. 2022

2022 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)

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Management of medication using a mobile robot and artificial intelligence

Cited by 3 publications

References 4 publications

Perspectives on Artificial Intelligence Adoption for European Union Elderly in the Context of Digital Skills Development

Perspectives on Artificial Intelligence Adoption for European Union Elderly in the Context of Digital Skills Development

Autonomous Fever Detection, Medicine Delivery, and Environmental Disinfection for Pandemic Prevention

Automatic pathological gait recognition by a mobile robot using ultrawideband-based localization and a depth camera

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