Adaptive fusion of sensor signals based on mutual information maximization

The research approaches utilizing ubiquitous sensors to support human activities have become of major interest lately. Sensor fusion is one of the fundamental issues to develop such intelligent environments. The sensor fusion in previous works is performed in the task-level layer through individual representations of the sensors. Therefore, it does not provide new information by fusing sensors. This paper proposes another method that fuses sensory signals based on mutual information maximization in the signal-level layer. The fused signal provides us new information that cannot be obtained from individual sensors. As an example, this paper also shows experimental results in an audio-visual fusion task.