Multi-sensor Data Fusion with Dynamic Component for Context Awareness
Dempster-Shafer Evidence Theory (DST) enables multi-sensor data fusion, which makes it possible to infer the context. In this paper, the authors propose about how to use multi-sensor data fusion to infer context in the dynamic circumstances. Dynamic circumstance means a changing of the situation or the surrounding itself, and particularly signifies that there is a changeable factor in a specific environment. It is measures to recognize an expected situation of a moving object's approach, contact and collision in advance. While pre-existing context inference method using Dempster-Shafer evidence theory considered belief and uncertainty at the same time, in this paper, they propose the measures that focus on change of belief.