| Summary: | 碩士 === 國立東華大學 === 資訊工程學系 === 102 === Pedestrian fall detections and predictions using wearable sensors incur problems such as inconvenience,inaccuracy,and high cost.Therefore,this thesis proposed a vision‐based pedestrian fall risk evaluation system.Initially,a background subtraction and morphological operations were applied to obtain a region of interest (including a pedestrian). Subsequently, people gait stability,symmetry, and body stability were computed to build a mixed module consisting of seven features.Multiple perspective problem was handled by estimating the angle between pedestrian and the camera.Particularly, three perspectives were considered in our experiments:the 0∘(front), 45∘ and 90∘(side). Because fall risk assessment is a pretty subjective issue, the Analysis Hierarchy
Process (AHP) was utilized to determine the weight of each individual feature so that the estimated overall fall risks could approach the mankind judgments.
|
|---|
