Fusion strategy-based multimodal human-computer interaction Online publication date: Sat, 07-Jul-2018
by Shu Yang; Ye-peng Guan
International Journal of Computational Vision and Robotics (IJCVR), Vol. 8, No. 3, 2018
Abstract: Human-computer interaction (HCI) has great potential for applications in many fields. The diversity of interaction habits and low recognition rate are main factors to limit its development. In this paper, a framework of multi-modality based human-computer interaction is constructed. Interactive target can be determined by different modalities including gaze, hand pointing and speech in a non-contact and non-wearable way. The corresponding response is feedback timely to users in the form of audio-visual sense with an immersive experience. Besides, the decision matrix-based fusion strategy is proposed to improve the system's accuracy and adapt to different interaction habits which are considered in an ordinary hardware from a crowded scene without any hypothesis that the interactive user and his corresponding actions are known in advance. Experimental results have highlighted that the proposed method has better robustness and real-time performance in the actual scene by comparisons.
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