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Gait Analysis Robot Nidaamka Falanqaynta Socodka by Anri Sugihara
Gait Analysis Robot Nidaamka Falanqaynta Socodka by Anri Sugihara
Gait Analysis Robot Nidaamka Falanqaynta Socodka by Anri Sugihara
Gait Analysis Robot Nidaamka Falanqaynta Socodka by Anri Sugihara
Gait Analysis Robot Nidaamka Falanqaynta Socodka by Anri Sugihara

Dahab Alaabta Caafimaadka · 2021

Gait Analysis Robot Nidaamka Falanqaynta Socodka

by Anri Sugihara

  • Abaalmarinta Dahabka ah ee A' Design Award 2021 in Alaabta Caafimaadka
  • CLIENT: RDS Co., Ltd.
  • Estimated Number of Design Views: 115,638
  • Verification code DB776A06FA · Verify this award
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About Gait Analysis Robot Nidaamka Falanqaynta Socodka

Robotka Falanqaynta Socodka waa nidaam cabbir caafimaad oo loogu talagalay falanqaynta dhaqdhaqaaqa socodka. Robotku wuxuu wataa kamarado saddex-geesood ah wuxuuna raacaa qofka la baarayo isagoo ka jira masaafo go'an. Qofka la baarayaa wuxuu ku socdaa hore iyo gadaal khad toosan oo siman oo toban mitir ah, sida dariiqa dhexdiisa isbitaalka. Xogta la duubay waxaa loo diraa server-ka daruuraha (cloud server) halkaas oo lagu falanqeeyaa. Saxnaanteedu waxay la mid tahay nidaamyada falanqaynta dhaqdhaqaaqa ee muraayadaha (optical) ee lagu isticmaalo machadyada cilmi-baarista. Ujeeddadu waa in falanqaynta socodka si ballaaran loo helo qiimo jaban, iyo in la taageero ogaanshaha hore ee cudurrada, dhaqan-celinta iyo ilaalinta caafimaadka.

About the Abaalmarinta Dahabka ah ee A' Design Award

Gait Analysis Robot Nidaamka Falanqaynta Socodka waa guuleystaha Abaalmarinta Dahabka ah ee A' Design Award, aqoonsi sharaf aad u weyn oo la siiyo naqshado heerka koowaad ah, cajiib ah oo aan caadi ahayn. Guuleystayaasha Dahabka waa hal-abuurro cusub oo aad u badan, aragti fog leh oo si indho-qabsi ah u dhalaalaya, kuwaas oo ka tarjumaya caqli, xikmad iyo xirfadda naqshadeeyayaashooda. Gait Analysis Robot Nidaamka Falanqaynta Socodka waa shaqo la filayo inay noqoto hal-abuur aad loo ammaano, dejisa isbeddello cusub oo weyn, keenta qiimo aan hore loo arag. Naqshadahan ku guuleystay Abaalmarinta Dahabka ah ee A' Design Award waa shaqo cajiib ah oo la ixtiraamo, waxtar weyn leh oo hormarisa xuduudaha farshaxanka, sayniska, naqshadaynta iyo tignoolajiyada. Gait Analysis Robot Nidaamka Falanqaynta Socodka waa shaqo abuurta dareenno xoog leh oo rabitaan ah, kicisa xiiso, dhiirigelisa hal-abuur una soo jiidata.

Press Kit

Unique Properties
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.
Tags
Medical, Walking, Motion Analysis, Gait Analysis, Robot, Hospital, Diagnosis
Production Technology
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.
Inspiration
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.
Project Duration
since October 2019 in Japan and keep on going.
Operation Flow
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.
Image Credits
RDS Co., Ltd.

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