Gait Analysis Robot Rinanalyzesysteem troch Anri Sugihara

Gait Analysis Robot Rinanalyzesysteem troch Anri Sugihara is in heech wurdearre winner fan de tige prestizjeuze 2021 A' Design Award yn Goud yn de kompetysje-kategory Medyske Apparaten en Medyske Apparatuer Ûntwerp.

GoudMedysk Produkt· 2021

Gait Analysis Robot Rinanalyzesysteem

troch Anri Sugihara

Klant: RDS Co., Ltd.

A' Design Award yn Goud Winner yn de kategory Medysk Produkt

117,709

Ferifiearre Priiswinner

Ferifiearje Prisstatus foar #120933

Besjoch by A' Design Award Parseberjocht Priisbadge

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It Untwerp

Oer Gait Analysis Robot Rinanalyzesysteem

Gait Analysis Robot is in medysk mjitsysteem foar de analyze fan rinbewegingen. De robot draacht trijediminsjonale kamera's en folget in persoan op in fêste ôfstân. De persoan rint hinne en wer lâns in flakke rjochte line fan tsien meter, lykas in sikehûsgong. De opnommen gegevens wurde nei in cloudserver stjoerd en dêr analysearre. De krektens is te fergelykjen mei optyske bewegingsanalyzesystemen dy't yn ûndersyksynstituten brûkt wurde. It doel is om rinanalyze breed beskikber te meitsjen tsjin lege kosten en om iere opspoaring fan sykten, revalidaasje en sûnensûnderhâld te stypjen.

De Erkenning

Oer de A' Design Award yn Goud

Gait Analysis Robot Rinanalyzesysteem is in winner fan de A' Design Award yn Goud, in ekstreem prestisjeuze erkenning foar earste-klas, prachtige en treflike ûntwerpen. Goudwinners binne tige ynnovative, fisionêre en glamoureus ferbjusterjende skeppings dy't it sjeny, de wiisheid en de feardigens fan har ûntwerpers wjerspegelje. Fan Gait Analysis Robot Rinanalyzesysteem wurdt ferwachte dat it in tige priizge, trendsettende en monumintale útfining is dy't unferlykbere wearde leveret. Dit winnende ûntwerp fan de A' Design Award yn Goud is in spektakulêr, respektearre projekt dat grutte foardielen bringt en de grinzen fan keunst, wittenskip, ûntwerp en technology ferleget. Gait Analysis Robot Rinanalyzesysteem makket yntinse gefoelens fan begearte, stekt passy oan, stimulearret kreativiteit en fassinearret ús.

Efter it Untwerp

Parsepakket

Credits, teamleden en technyske details levere troch de ûntwerper.

Unike Eigenskippen: 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.
Labels: Medical, Walking, Motion Analysis, Gait Analysis, Robot, Hospital, Diagnosis
Produksjetechnology: 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.
Ynspiraasje: 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.
Projektdoer: since October 2019 in Japan and keep on going.
Operaasjestreamferrin: 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.
Teamleden: 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
Ofbyldingskrediten: RDS Co., Ltd.