Evidence map›Paper›PMID 33809884›Full record

ArticleSensors (Basel, Switzerland)2021

Smart Assistive Architecture for the Integration of IoT Devices, Robotic Systems, and Multimodal Interfaces in Healthcare Environments.

Alberto Brunete, Ernesto Gambao, Miguel Hernando, Raquel Cedazo

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Alberto BruneteCentre for Automation and Robotics (CAR UPM-CSIC), Universidad Politécnica de Madrid, 28006 Madrid, Spain.ORCID 0000-0001-9873-232X
Ernesto GambaoCentre for Automation and Robotics (CAR UPM-CSIC), Universidad Politécnica de Madrid, 28006 Madrid, Spain.ORCID 0000-0003-1705-1800
Miguel HernandoCentre for Automation and Robotics (CAR UPM-CSIC), Universidad Politécnica de Madrid, 28006 Madrid, Spain.ORCID 0000-0001-9997-0266
Raquel CedazoDepartment of Electrical, Electronical and Automatic Control Engineering and Applied Physics, Escuela Técnica Superior de Ingeniería y Diseño Industrial, Universidad Politécnica de Madrid, 28012 Madrid, Spain.ORCID 0000-0002-4361-4331

Funding

Ministerio de Ciencia e Innovación DPI2013-47944-C4-2-R
6 · The paper itself

Abstract

This paper presents a new architecture that integrates Internet of Things (IoT) devices, service robots, and users in a smart assistive environment. A new intuitive and multimodal interaction system supporting people with disabilities and bedbound patients is presented. This interaction system allows the user to control service robots and devices inside the room in five different ways: touch control, eye control, gesture control, voice control, and augmented reality control. The interaction system is comprised of an assistive robotic arm holding a tablet PC. The robotic arm can place the tablet PC in front of the user. A demonstration of the developed technology, a prototype of a smart room equipped with home automation devices, and the robotic assistive arm are presented. The results obtained from the use of the various interfaces and technologies are presented in the article. The results include user preference with regard to eye-base control (performing clicks, and using winks or gaze) and the use of mobile phones over augmented reality glasses, among others.

Indexed as

Persons with DisabilitiesRobotic Surgical ProceduresSelf-Help DevicesDelivery of Health CareHumansAALassistiveeye trackingIoTlow mobilitymultimodal interactionroboticssmart environments

Identifiers

PMID33809884
PMCPMC8004200

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.