NDLI: Intersensory Causality Modeling Using Deep Neural Networks

Content Provider	IEEE Xplore Digital Library
Author	Noda, K. Arie, H. Suga, Y. Ogata, T.
Copyright Year	2013
Description	Author affiliation: Grad. Sch. of Fundamental Sci. & Eng., Waseda Univ., Tokyo, Japan (Noda, K.; Arie, H.; Suga, Y.; Ogata, T.)
Abstract	Our brain is known to enhance perceptual precision and reduce ambiguity about sensory environment by integrating multiple sources of sensory information acquired from different modalities, such as vision, auditory and somatic sensation. From an engineering perspective, building a computational model that replicates this ability to integrate multimodal information and to self-organize the causal dependency among them, represents one of the central challenges in robotics. In this study, we propose such a model based on a deep learning framework and we evaluate the proposed model by conducting a bell ring task using a small humanoid robot. Our experimental results demonstrate that (1) the cross-modal memory retrieval function of the proposed method succeeds in generating visual sequence from the corresponding sound and bell ring motion, and (2) the proposed method leads to accurate causal dependencies among the sensory-motor sequence.
Sponsorship	IEEE Syst., Man, Cybern. Soc.
Starting Page	1995
Ending Page	2000
File Size	517909
Page Count	6
File Format	PDF
ISBN	9781479906529
DOI	10.1109/SMC.2013.342
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-10-13
Publisher Place	UK
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Vectors Image retrieval Joints Image color analysis Neural networks Robot sensing systems robotics Deep learning multimodal integration temporal sequence learning
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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