Gait Analysis Robot Système d'analyse de la marche by Anri Sugihara is a highly esteemed winner of the very prestigious 2021 A' Design Award d'Or in Produit Médical Competition Category.
OrProduit Médical· 2021
Gait Analysis Robot Système d'analyse de la marche
Client: RDS Co., Ltd.
A' Design Award d'Or Winner in Produit Médical Category
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- Verified Award Winner
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The Design
About Gait Analysis Robot Système d'analyse de la marche
Le robot d'analyse de la marche est un système de mesure médical dédié à l'analyse du mouvement de la marche. Le robot est équipé de caméras tridimensionnelles et suit le sujet à une distance constante. Le sujet marche en aller-retour le long d'une ligne droite et plane de dix mètres, comme un couloir d'hôpital. Les données enregistrées sont transmises à un serveur cloud, où elles sont analysées. La précision obtenue est comparable à celle des systèmes optiques d'analyse du mouvement utilisés dans les instituts de recherche. L'objectif est de rendre l'analyse de la marche largement accessible à faible coût et de favoriser la détection précoce des maladies, la rééducation ainsi que le maintien de la santé.
The Recognition
About the A' Design Award d'Or
Gait Analysis Robot Système d'analyse de la marche est lauréat de l'A' Design Award d'Or, une reconnaissance immensément prestigieuse décernée à des designs de premier ordre, merveilleux et remarquables. Les lauréats Or sont des créations extrêmement innovantes, visionnaires et d'un éclat glamour éblouissant, qui reflètent le génie, la sagesse et la maîtrise de leurs concepteurs. Gait Analysis Robot Système d'analyse de la marche est censé être une invention très louée, avant-gardiste et monumentale, qui apporte une valeur sans précédent. Ce design lauréat de l'A' Design Award d'Or est un projet spectaculaire et respecté qui sert grandement l'art, la science, le design et la technologie et en repousse les limites. Gait Analysis Robot Système d'analyse de la marche crée de vifs sentiments de désir, éveille la passion, encourage la créativité et nous fascine.
Behind the Design
Press Kit
Credits, team members and technical details provided by the designer.
- 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. - Team Members
- 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
- Image Credits
- RDS Co., Ltd.
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