Audio–visual perception‐based multimodal HCI

Author:

Yang Shu1,Guan Ye‐peng12

Affiliation:

1. School of Communication and Information EngineeringShanghai UniversityShanghai 200444People's Republic of China

2. Key Laboratory of Advanced Displays and System ApplicationMinistry of EducationShanghai 200444People's Republic of China

Funder

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

General Engineering,Energy Engineering and Power Technology,Software

Reference34 articles.

1. Multimodal interaction: a review;Matthew T.;Pattern Recognit. Lett.,2014

2. Multimodal human–computer interaction: a survey;Jaimes A.;Comput. Vis. Image Underst.,2007

3. Human–computer interaction – a brief study;Harish R.;Int. J. Manage. IT Eng.,2013

4. WangQ.Z. XuD. ShiL.Y.: ‘A review on robot learning and controlling: imitation learning and human–computer interaction’.Proc. Chinese Control and Decision 2013 pp.2834–2838

5. Hand gesture recognition based on dynamic Bayesian network framework;Suk H.I.;Pattern Recognit.,2010

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