[PDF.08xo] Sensory Integration Model For Multimodal Stimuli Localization: A Hybrid Intelligence Solution for Efficient Interaction

Sensory Integration Model For Multimodal Stimuli Localization: A Hybrid Intelligence Solution for Efficient Interaction

[PDF.my27] Sensory Integration Model For Multimodal Stimuli Localization: A Hybrid Intelligence Solution for Efficient Interaction

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 |  2015-01-19 |  2015-01-19 | Original language:English | PDF # 1 |  8.66 x.44 x5.91l,.64 | File type: PDF | 192 pages

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||About the Author|Kiran Kumar Ravulakollu has his interests in sensory networks, robotics, biologically inspired multimodal behaviour modelling and ambient intelligence. With international research experience in Hybrid Intelligent Systems at University of Sunderl

Sensory information processing is an important feature of robotic agents that must interact with humans or environment. In many agent-based applications, visual and audio sensors are used to emulate human-like communication. The Superior Colliculus (SC), located in the mid-brain of nervous system, carries out similar functionality of audio and visual stimuli integration in both humans and animals. In recent years integration of sensory information using biological inspir...

You can specify the type of files you want, for your gadget.Sensory Integration Model For Multimodal Stimuli Localization: A Hybrid Intelligence Solution for Efficient Interaction   |  Kiran Ravulakollu.Not only was the story interesting, engaging and relatable, it also teaches lessons.

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