A non-invasive approach for human fall risk assessments

摘要: Human fall risk assessments to predict an unintentional fall and strategies to reduce such events are major goals of every health care providers. Fall risk assessments were primarily conducted through questionnaires and clinical observations. They were also assessed using wearable devices by identifying the deviations in normal gait. This paper proposes a non-invasive approach using depth sensor to analyze the same parameters to measure the deviations in normal gait for fall risk assessments. The proposed method conducts an analysis on the lower body part using Kinect sensor. The experimental testing showed promising results in gathering the required information for computing the fall risk levels.