Evidence map›Paper›PMID 35111498›Full record

ArticleFujita medical journal2019

Designing a robotic smart home for everyone, especially the elderly and people with disabilities.

Shigeo Tanabe, Eiichi Saitoh, Soichiro Koyama, Kei Kiyono, Tsuyoshi Tatemoto, Nobuhiro Kumazawa, Hitoshi Kagaya, Yohei Otaka, Masahiko Mukaino, Akira Tsuzuki and 3 more

Abstract read
In one paragraph

Article in Fujita medical journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
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

13 authors.

Shigeo TanabeFaculty of Rehabilitation, School of Health Sciences, Fujita Health University, Toyoake, Aichi, Japan.
Eiichi SaitohDepartment of Rehabilitation Medicine I, School of Medicine, Fujita Health University, Toyoake, Aichi, Japan.
Soichiro KoyamaFaculty of Rehabilitation, School of Health Sciences, Fujita Health University, Toyoake, Aichi, Japan.
Kei KiyonoFaculty of Rehabilitation, School of Health Sciences, Fujita Health University, Toyoake, Aichi, Japan.
Tsuyoshi TatemotoFaculty of Rehabilitation, School of Health Sciences, Fujita Health University, Toyoake, Aichi, Japan.
Nobuhiro KumazawaFaculty of Rehabilitation, School of Health Sciences, Fujita Health University, Toyoake, Aichi, Japan.
Hitoshi KagayaDepartment of Rehabilitation Medicine I, School of Medicine, Fujita Health University, Toyoake, Aichi, Japan.
Yohei OtakaDepartment of Rehabilitation Medicine I, School of Medicine, Fujita Health University, Toyoake, Aichi, Japan.
Masahiko MukainoDepartment of Rehabilitation Medicine I, School of Medicine, Fujita Health University, Toyoake, Aichi, Japan.
Akira TsuzukiFaculty of Rehabilitation, School of Health Sciences, Fujita Health University, Toyoake, Aichi, Japan.
Hirofumi OtaFaculty of Rehabilitation, School of Health Sciences, Fujita Health University, Toyoake, Aichi, Japan.
Satoshi HiranoDepartment of Rehabilitation Medicine I, School of Medicine, Fujita Health University, Toyoake, Aichi, Japan.
Yoshikiyo KanadaFaculty of Rehabilitation, School of Health Sciences, Fujita Health University, Toyoake, Aichi, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We initiated the Robotic Smart Home (RSH) project to develop a comfortable, safe home environment for all people, including the elderly and individuals with disabilities. An important consideration when introducing robots into a home environment is the confined living space, the so-called space problem. The RSH project plans to simultaneously develop robots and an architectural design for living spaces to create an optimal home environment that will help elderly people live independently at home for longer periods. The RSH accommodates the following three robotics and assistive systems: mobility and transfer assist system, operational assist system, and information assist system. The mobility and transfer assist system includes three types of devices (lifting type, lateral-transfer type, and suspension type), which can be available to users as appropriate according to the severity of their disability. The operational assist system combines a hand robot with an environmental control system for the convenience of users. An information assist system connects the RSH with remote locations for communication. Inside the RSH, a home automation and monitoring system connected to the Internet of Things provides residents with comfort and security. As part of this project, two RSH centers have been established for effective facility adoption.

Indexed as

Elderly peopleRobotSmart house

Identifiers

PMID35111498
PMCPMC8766226

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.