Abnormal action tracking using robot vision system
Li‐Hong Juang, Ming-Ni Wu · 2013
Nowadays medical technology makes the inevitable trend of an ageing population. So intelligent home care is an important direction of development of science and technology, in particular, elderly in-home safety management issues become more and more important. In this research, we propose a low of operation algorithm and use the triangular pattern rule, then can quickly detect abnormal movements of humanoid by the installation of a robot with camera vision at home that will be able to judge the abnormal movements of in-home elderly in real time. In this research, we will present a preliminary design and experimental results of abnormal movements from body posture that utilizes image pre-processing and three triangular-mass-central points to extract the characteristics. The result shows that the proposed method would adopt the few characteristic value and the accuracy can reach to 90% a single character posture. Furthermore the accuracy can be up to 100% when a continuous-time sampling criterion and support vector machine (SVM) classifier are taken.