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Title: The Use of Wearable Sensor and Machine Learning for Falling Injury Prevention:

Injury resulting from falling accidents represents a significant health threat, but currently there is still no effective method to evaluate falling risk exposure in real built environment. This research proposes an exposure assessment method with a limited number of wearable sensors to determine if signals from wearable sensors provide enough information to detect people’s gait changes caused by intrinsic and extrinsic alterations in real built environment, and then utilize machine learning algorithms to identify the changes.