Humanities is originally a comprehensive discipline, and all disciplines must be formed under the foundation of humanities. To do so, humanities researchers should break their own castles, return to their original positions based on the humanistic reflection, and try various academic methods. Humanities should no longer be the recipient of the data and the user's role alone. But rather they are expected to play the role of the data curator, the leading role in data production and construction and use of a common platform, and the attempt to use the platform in various ways by the constant re-datafication make all relevant researchers enable collaboration. In addition, it is necessary to have the ability to solve problems through multi-fields, trans-fields, or cross-fields, which can be achieved not only by building basic knowledge in all fields of studies, but also by sharing interest, active participations, and diverse collaborations. We need to have critical and rational perspectives, and inclusive attitudes based on acceptance of differences, and all of these can be supported by our endeavors to solve structural problems.

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.