TY - JOUR AU - Shivappa, Shankar T. AU - Rao, Bhaskar D. AU - Trivedi, Mohan M. PY - 2007 DA - 2007/11/13 TI - An Iterative Decoding Algorithm for Fusion of Multimodal Information JO - EURASIP Journal on Advances in Signal Processing SP - 478396 VL - 2008 IS - 1 AB - Human activity analysis in an intelligent space is typically based on multimodal informational cues. Use of multiple modalities gives us a lot of advantages. But information fusion from different sources is a problem that has to be addressed. In this paper, we propose an iterative algorithm to fuse information from multimodal sources. We draw inspiration from the theory of turbo codes. We draw an analogy between the redundant parity bits of the constituent codes of a turbo code and the information from different sensors in a multimodal system. A hidden Markov model is used to model the sequence of observations of individual modalities. The decoded state likelihoods from one modality are used as additional information in decoding the states of the other modalities. This procedure is repeated until a certain convergence criterion is met. The resulting iterative algorithm is shown to have lower error rates than the individual models alone. The algorithm is then applied to a real-world problem of speech segmentation using audio and visual cues. SN - 1687-6180 UR - https://doi.org/10.1155/2008/478396 DO - 10.1155/2008/478396 ID - Shivappa2007 ER -