Anri Sugihara 嘅作品 Gait Analysis Robot 步態分析系統

由設計師 Anri Sugihara 創作嘅 Gait Analysis Robot 步態分析系統係備受推崇嘅 2021 A' Design Award 金獎得獎作品，獲獎類別為醫療產品設計。

金醫療產品· 2021

Gait Analysis Robot 步態分析系統

由 Anri Sugihara

客戶: RDS Co., Ltd.

醫療產品類別嘅 A' Design Award 金獎得獎者

117,709

經驗證嘅獲獎者

驗證設計 #120933 嘅獲獎狀態

喺 A' Design Award 查看新聞稿獎項徽章

色彩

設計

關於 Gait Analysis Robot 步態分析系統

步態分析機械人係一套用嚟分析行路動作嘅醫療測量系統。呢部機械人配備三維攝影機，會同受測者保持固定距離跟隨移動。受測者只需喺一條十米長嘅平直路線（例如醫院走廊）嚟回行走。記錄到嘅數據會傳送去雲端伺服器進行分析，準確度可以媲美研究機構所採用嘅光學動作分析系統。呢個設計嘅目標係以低成本令步態分析得以廣泛應用，支援疾病嘅早期發現、復康治療同埋健康管理。

榮譽認可

關於A' Design Award 金獎

Gait Analysis Robot 步態分析系統是 A' Design Award 金獎得主，這是授予一流、絕妙而傑出設計的極為崇高的認可。金獎得主是極具創新、極富遠見且璀璨奪目的創作，反映出其設計師的天才、智慧與才幹。預計Gait Analysis Robot 步態分析系統將成為一項備受讚譽、引領潮流、氣勢恢宏的發明，帶來前所未有的價值。這件贏得 A' Design Award 金獎的設計是一個壯觀而受人敬重的項目，極大地造福並拓展藝術、科學、設計和技術的界限。Gait Analysis Robot 步態分析系統激起強烈的渴望，喚起激情，鼓勵創造力，令我們著迷。

設計背後

新聞資料包

由設計師提供嘅製作人員名單、團隊成員同技術詳情。

獨特屬性: 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.
標籤: Medical, Walking, Motion Analysis, Gait Analysis, Robot, Hospital, Diagnosis
生產技術: 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.
靈感: 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.
項目時長: since October 2019 in Japan and keep on going.
操作流程: 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.
團隊成員: 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
圖片來源: RDS Co., Ltd.