Gait Analysis Robot Inkqubo Yohlalutyo Lokuhamba ngu-Anri Sugihara

Uyilo olubizwa ngokuba yi-Gait Analysis Robot Inkqubo Yohlalutyo Lokuhamba olwenziwe ngu-Anri Sugihara ngumwini obekekileyo webhaso elinobukhazikhazi le-2021 Ibhaso Legolide le-A' Design Award Kudidi Lokhuphiswano lwe-Uyilo lweZixhobo zezoNyango kunye neZixhobo zezeNzululwazi yezoNyango.

IgolideImveliso yezoNyango· 2021

Gait Analysis Robot Inkqubo Yohlalutyo Lokuhamba

ngu Anri Sugihara

Umxhasi: RDS Co., Ltd.

Umwini we-Ibhaso Legolide le-A' Design Award Kudidi Lwe-Imveliso yezoNyango

117,709

Umwini Webhaso Oqinisekisiweyo

Qinisekisa Isimo Sebhaso se-#120933

Jonga kwi-A' Design Award Uxwebhu Lweendaba Ibheji Yembasa

Imibala

Uyilo

Malunga ne-Gait Analysis Robot Inkqubo Yohlalutyo Lokuhamba

IRobhothi Yohlalutyo Lokuhamba yinkqubo yokulinganisa yezonyango yohlalutyo lwentshukumo yokuhamba. Le robhothi iphethe iikhamera ezineembono ezintathu kwaye ilandela umntu ovavanywayo kumgama ozinzileyo. Umntu ovavanywayo uhamba esiya ebuya kumgca othe tye osicaba weemitha ezilishumi, njengepaseji yesibhedlele. Idatha erekhodiweyo ithunyelwa kwiseva yelifu ize ihlalutywe apho. Ukuchaneka kuyafana neenkqubo zohlalutyo lwentshukumo ezisebenzisa ukukhanya ezisetyenziswa kumaziko ophando. Injongo kukwenza uhlalutyo lokuhamba lufumaneke ngokubanzi ngexabiso eliphantsi nokuxhasa ukufunyanwa kwangethuba kwezifo, uhlaziyo lwempilo nokugcinwa kwempilo.

Ukuqatshelwa

Malunga ne-Ibhaso Legolide le-A' Design Award

Gait Analysis Robot Inkqubo Yohlalutyo Lokuhamba ngumphumeleli weIbhaso Legolide le-A' Design Award, ukuqatshelwa okuhlonitshwayo kakhulu okunikwa imiyilo yeklasi yokuqala, ephawulekayo nentle. Abaphumeleleyo beGolide ziimveliso ezintsha kakhulu, ezinombono ongaphaya nezikhazimlayo ezibonisa ubuchule, ubulumko nobuchule babayili bazo. Gait Analysis Robot Inkqubo Yohlalutyo Lokuhamba iyathenjwa ukuba ibe yimveliso edunyiswe kakhulu, ebeka umkhwa nekumgangatho wesikhumbuzo enikela ixabiso elingazange libonwe. Lo myilo uphumeleleyo weIbhaso Legolide le-A' Design Award yiprojekthi emangalisayo nehlonelwayo eluncedo kakhulu kwaye inyusa imida yobugcisa, inzululwazi, uyilo kunye nobuchwephesha. Gait Analysis Robot Inkqubo Yohlalutyo Lokuhamba idala iimvakalelo ezinzulu zonqweno, ivusa umdla, ikhuthaza ukuyila kwaye iyasikhwebela.

Emva Koyilo

Ikhithi Yeendaba

Iziqinisekiso, amalungu eqela kunye neenkcukacha zobugcisa ezinikezelwe ngumyili.

Iimpawu Ezizodwa: 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.
Iithegi: Medical, Walking, Motion Analysis, Gait Analysis, Robot, Hospital, Diagnosis
Ubuchwepheshe Bokuvelisa: 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.
Inkuthazo: 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.
Ubude Beprojekthi: since October 2019 in Japan and keep on going.
Ukuhamba Komsebenzi: 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.
Amalungu Eqela: 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
Amagunya Emifanekiso: RDS Co., Ltd.