This paper is about a fall inducement system for guiding like a real fall. Reliable fall data can be used as an essential element in developing effective fall protection devices. We can get this data if the induced fall is very realistic. The proposed system analyzes gait characteristics and determines when to fall based on the pedestrian's biometric data. To estimate the fall inducement time, an active estimation algorithm was proposed using different biometric values for each pedestrian. The proposed algorithm is designed to response actively to the ratio of gait cycle and a stance period. To verify this system, an experimental environment was implemented using a multi-rail treadmill equipped with a ground reaction force measurement device. An experiment was conducted to induce falls to pedestrians using a fall inducement system. By comparing the experimental scene to the video of the actual fall, it has been confirmed that the proposed system can induce a reliable fall.

Abstract
1. 서 론
2. 낙상 유도 시스템
    2.1 보행 주기
    2.2 보행 위상 및 낙상 시점
    2.3 데이터 유효성
3. 실험 및 분석
    3.1 실험 환경
    3.2 실험 결과
4. 결 론
References

• 이종일(KIRO, Pohang) | Jong-il Lee
• 한종부(KRISO, Daejeon) | Jong-Boo Han
• 구재완(KIRO, Pohang) | Jae Wan Koo
• 이석재(KIRO, Pohang) | Seokjae Lee
• 손동섭(KIRO, Pohang) | Dong-Seop Sohn
• 서갑호(KIRO, Pohang) | Kap-Ho Seo Corresponding author