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

Elderly people Robot Smart house

Journal

Fujita medical journal
ISSN: 2189-7255
Titre abrégé: Fujita Med J
Pays: Japan
ID NLM: 101745077

Informations de publication

Date de publication:
2019
Historique:
received: 18 06 2018
accepted: 18 08 2018
entrez: 3 2 2022
pubmed: 1 1 2019
medline: 1 1 2019
Statut: ppublish

Résumé

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.

Identifiants

pubmed: 35111498
doi: 10.20407/fmj.2018-009
pmc: PMC8766226
doi:

Types de publication

Journal Article

Langues

eng

Pagination

31-35

Déclaration de conflit d'intérêts

The authors declare that they have no competing interests except for Prof. Eiichi Saitoh, who received funding and robots, and Prof. Yoshikiyo Kanada, who received funding from the above sources.

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Auteurs

Shigeo Tanabe (S)

Faculty of Rehabilitation, School of Health Sciences, Fujita Health University, Toyoake, Aichi, Japan.

Eiichi Saitoh (E)

Department of Rehabilitation Medicine I, School of Medicine, Fujita Health University, Toyoake, Aichi, Japan.

Soichiro Koyama (S)

Faculty of Rehabilitation, School of Health Sciences, Fujita Health University, Toyoake, Aichi, Japan.

Kei Kiyono (K)

Faculty of Rehabilitation, School of Health Sciences, Fujita Health University, Toyoake, Aichi, Japan.

Tsuyoshi Tatemoto (T)

Faculty of Rehabilitation, School of Health Sciences, Fujita Health University, Toyoake, Aichi, Japan.

Nobuhiro Kumazawa (N)

Faculty of Rehabilitation, School of Health Sciences, Fujita Health University, Toyoake, Aichi, Japan.

Hitoshi Kagaya (H)

Department of Rehabilitation Medicine I, School of Medicine, Fujita Health University, Toyoake, Aichi, Japan.

Yohei Otaka (Y)

Department of Rehabilitation Medicine I, School of Medicine, Fujita Health University, Toyoake, Aichi, Japan.

Masahiko Mukaino (M)

Department of Rehabilitation Medicine I, School of Medicine, Fujita Health University, Toyoake, Aichi, Japan.

Akira Tsuzuki (A)

Faculty of Rehabilitation, School of Health Sciences, Fujita Health University, Toyoake, Aichi, Japan.

Hirofumi Ota (H)

Faculty of Rehabilitation, School of Health Sciences, Fujita Health University, Toyoake, Aichi, Japan.

Satoshi Hirano (S)

Department of Rehabilitation Medicine I, School of Medicine, Fujita Health University, Toyoake, Aichi, Japan.

Yoshikiyo Kanada (Y)

Faculty of Rehabilitation, School of Health Sciences, Fujita Health University, Toyoake, Aichi, Japan.

Classifications MeSH