Gait Analysis Robot Sistem za analizo hoje – avtor Anri Sugihara

Delo Gait Analysis Robot Sistem za analizo hoje avtorja Anri Sugihara je izjemno cenjeni dobitnik prestižne nagrade 2021 Zlata nagrada A' Design Award v tekmovalni kategoriji Oblikovanje medicinskih naprav in medicinske opreme.

ZlataMedicinski izdelek· 2021

Gait Analysis Robot Sistem za analizo hoje

avtor/ica: Anri Sugihara

Naročnik: RDS Co., Ltd.

Dobitnik nagrade Zlata nagrada A' Design Award v kategoriji Medicinski izdelek

117,709

Potrjeni dobitnik nagrade

Preverite status nagrade za #120933

Ogled na A' Design Award Sporočilo za javnost Značka nagrade

Barve

Dizajn

O dizajnu Gait Analysis Robot Sistem za analizo hoje

Robot za analizo hoje je medicinski merilni sistem za analizo gibanja pri hoji. Robot je opremljen s tridimenzionalnimi kamerami in sledi preiskovancu na stalni razdalji. Preiskovanec hodi sem in tja po ravni premi liniji dolžine deset metrov, na primer po bolnišničnem hodniku. Zabeleženi podatki se pošljejo na oblačni strežnik, kjer se analizirajo. Natančnost je primerljiva z optičnimi sistemi za analizo gibanja, ki se uporabljajo v raziskovalnih ustanovah. Cilj je omogočiti široko dostopnost analize hoje po nizki ceni ter podpreti zgodnje odkrivanje bolezni, rehabilitacijo in ohranjanje zdravja.

Priznanje

O nagradi Zlata nagrada A' Design Award

Gait Analysis Robot Sistem za analizo hoje je prejemnik Zlate nagrade A' Design Award, neizmerno prestižnega priznanja, ki se podeljuje prvovrstnim, čudovitim in izvrstnim oblikovanjem. Prejemniki Zlate nagrade so izjemno inovativne, vizionarske in bleščeče osupljive stvaritve, ki odražajo genij, modrost in mojstrstvo svojih oblikovalcev. Od Gait Analysis Robot Sistem za analizo hoje se pričakuje, da bo zelo hvaljen, trende postavljajoč in monumentalen izum, ki prinaša brezprecedenčno vrednost. To oblikovanje, nagrajeno z Zlato nagrado A' Design Award, je spektakularno, spoštovano delo, ki v veliki meri koristi in premika meje umetnosti, znanosti, oblikovanja in tehnologije. Gait Analysis Robot Sistem za analizo hoje ustvarja intenzivna čustva želje, prebuja strast, spodbuja ustvarjalnost in nas prevzame.

V ozadju dizajna

Komplet za medije

Zasluge, člani ekipe in tehnične podrobnosti, ki jih je posredoval oblikovalec.

Edinstvene lastnosti: The robot track a subject and send walking analysis data to cloud database, enables measurement of even more items than before, and develops services as big data useful for medical care, rehabilitation, health maintenance and etc. It will be able to help early detection and prevention of diseases. It's a project that developing a system include the robot to perform accurate walking motion analysis widely and inexpensively, which could only be done with an expensive motion capture system.
Oznake: Medical, Walking, Motion Analysis, Gait Analysis, Robot, Hospital, Diagnosis
Proizvodna tehnologija: This project has been advanced independent from the study and development of the measurement system, and is a collaborative project with the National Rehabilitation Center for Persons with Disabilities Research Institute in Japan. 3D cameras are mounted on a robot tracks a subject at a fixed distance, and it is possible to accurately measure the walking motion of a subject with the same accuracy as an optical motion analysis system in limited facilities such as research institutes.
Inspiracija: In medical research, it is known walking movements characteristic of patients appear due to various diseases. It has potential to be used for early detection and prevention of diseases and for rehabilitation as new diagnostic means. If accurate motion analysis can be realized at low cost for wide range of items, it will be help for various purposes as a highly reliable medical database and possible to extend healthy life expectancy and greatly contribute to the world-wide super-aging society.
Trajanje projekta: since October 2019 in Japan and keep on going.
Potek delovanja: To record walking movements, the subject only needs to walk back and forth on a flat straight line of 10 m, such as in a corridor in hospitals, and the recorded data is analyzed on a cloud server.
It based on the elements derived by machine learning from the accumulated walking data of all disease patients. The project planed to provide through web services for early detection and prevention of diseases, for diagnosis and medical purposes in hospitals and for general health promotion purposes.
Člani ekipe: RDS Ltd., Co., exiii design Inc. Yoshihiro Hirata R2, MAGNET Inc., makesense Inc. and quod, LLC , the National Rehabilitation Center for Persons with Disabilities Research Institute in Japan
Zasluge za slike: RDS Co., Ltd.