Industrial

LEGIT

Extra Form
Country	Korea
Year	2025
Award	WINNER
Affiliation	Hongik university
Designer	Jang eunhye, Jang yun A, Shin yunjae, Lee jeongsu
English	According to OECD statistics, Korean nurses handle 16 to 43 patients each, impacting care quality. To solve this, we developed an AI-powered walking aid, Legit, that ensures high-quality rehab training and efficiency. It allows patients to train independently, using LED beams for stride and gait guidance. It offers real-time feedback, display and patches with EMG sensors, optimizing individual assessment. AI recommends training methods and progress analysis, providing efficient feedback. Legit offers motivational advice and AI reports to encourage participation. This AI-based approach introduces a new method for effective walking assistance.
Native	OECD 통계에 따르면, 한국의 의료 전문가는 16명에서 43명의 환자를 관리하며, 이는 의료 서비스 질에 영향을 미칩니다. 특히 재활 치료는 1:1 훈련이 필수적이라 인력 부담이 큽니다. 이를 해결하기 위해 개발된 AI 기반 보행 보조 기구 Legit은 환자가 독립적으로 훈련할 수 있게 돕습니다. LED 빔으로 보폭과 걸음걸이를 안내하고, EMG 센서를 통해 근육 활성화와 보행 정확도를 추적하며 실시간 피드백을 제공합니다. AI는 개인 맞춤형 훈련을 추천하고 진행 상황을 분석해, 환자 동기 부여를 촉진합니다. Legit은 효과적인 재활 훈련을 지원하며, AI를 활용한 새로운 방식의 보행 치료를 제시합니다.
Positive Comments
Judging Comments	Legit was recognized for its AI-driven innovation in rehabilitation, addressing the heavy patient load faced by Korean nurses. The LED-guided stride system, real-time feedback with EMG sensors, and AI-powered training recommendations were commended for enhancing rehab efficiency and patient independence. By providing personalized progress analysis and motivational support, Legit redefines walking assistance, making rehabilitation more engaging, data-driven, and effective.