Gait Analysis Robot Isistimu Yokuhlaziya Ukuhamba ngu-Anri Sugihara

Umdwebo Gait Analysis Robot Isistimu Yokuhlaziya Ukuhamba ngu-Anri Sugihara ungumnqobi ohlonishwa kakhulu womklomelo odumile we-2021 Umklomelo Wegolide we-A' Design Award Esigabeni Somncintiswano se-Umkhiqizo Wezokwelapha.

IgolideUmkhiqizo Wezokwelapha· 2021

Gait Analysis Robot Isistimu Yokuhlaziya Ukuhamba

ngu Anri Sugihara

Iklayenti: RDS Co., Ltd.

Umnqobi we-Umklomelo Wegolide we-A' Design Award Esigabeni se-Umkhiqizo Wezokwelapha

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Umnqobi Womklomelo Oqinisekisiwe

Qinisekisa Isimo Somklomelo se-#120933

Buka ku-A' Design Award Isitatimende Sabezindaba Ibheji Yomklomelo

Imibala

Ukuklama

Mayelana ne-Gait Analysis Robot Isistimu Yokuhlaziya Ukuhamba

IRobhothi Yokuhlaziya Ukuhamba iyisistimu yokukala yezokwelapha yokuhlaziya ukunyakaza kokuhamba. Le robhothi iphethe amakhamera abona ngezinhlangothi ezintathu futhi ilandela umuntu ohlolwayo ngebanga elingaguquki. Umuntu ohlolwayo uhamba eya futhi ebuya kulayini oqondile futhi opatalele wamamitha ayishumi, njengasephaseji lasesibhedlela. Idatha eqoshiwe ithunyelwa kuseva yamafu bese ihlaziywa lapho. Ukunemba kwayo kuyaqhathaniseka nezistimu zokuhlaziya ukunyakaza ezisebenzisa ukukhanya ezisetshenziswa ezikhungweni zocwaningo. Inhloso ukwenza ukuhlaziywa kokuhamba kutholakale kabanzi ngezindleko eziphansi nokusekela ukutholakala kwezifo kusenesikhathi, ukuvuselelwa komzimba kanye nokugcinwa kwempilo.

Ukuqashelwa

Mayelana ne-Umklomelo Wegolide we-A' Design Award

Gait Analysis Robot Isistimu Yokuhlaziya Ukuhamba iwinile uMklomelo Wegolide we-A' Design Award, ukwaziswa okuhloniphekile kakhulu okunikezwa imiklamo yeklasi yokuqala, emangalisayo nephawulekile. Abawinile beGolide yimiklamo emisha kakhulu, enombono ongaphambili futhi egqamile ebonisa ubuhlakani, ukuhlakanipha nobuchule babaklami babo. Gait Analysis Robot Isistimu Yokuhlaziya Ukuhamba ilindeleke ukuba ibe yinto entsha edunyiswe kakhulu, ebeka isitayela futhi ebalulekile elethe inani elingakaze libonwe. Lo mklamo owinile uMklomelo Wegolide we-A' Design Award ungumgomo omangalisayo nohlonishwayo osiza kakhulu futhi osunduza imingcele yobuciko, isayensi, ukuklama nobuchwepheshe. Gait Analysis Robot Isistimu Yokuhlaziya Ukuhamba idala imizwa ejulile yesifiso, ivuse intshiseko, ikhuthaze ukudala futhi iyasiheha.

Ngemuva Kokuklama

Iphakheji Yabezindaba

Ama-credit, amalungu eqembu nemininingwane yobuchwepheshe ehlinzekwe ngumklami.

Izici Ezihlukile: 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.
Amathegi: Medical, Walking, Motion Analysis, Gait Analysis, Robot, Hospital, Diagnosis
Ubuchwepheshe Bokukhiqiza: 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.
Ugqozi: 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 Bephrojekthi: since October 2019 in Japan and keep on going.
Ukuhamba Kokusebenza: 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 Eqembu: 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
Amakhredithi Ezithombe: RDS Co., Ltd.