2018•Unpublished venueRequires access

PyPerC: Python toolbox for perceptual computing

Zohreh Amini Ghanavati, MohammadReza Katebzadeh, Hooman Tahayori, Farshad Khunjush

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Abstract

In this paper we present a new toolbox that is developed for perceptual computing (PerC). This toolbox provides all requirements to implement PerC applications on different platforms and hence will promote perceptual computers in various domains. We will demonstrate the effectiveness of the developed procedures and will also describe an example of implementing a perceptual computer with the proposed toolbox.

About this research paper

What this paper is about

In this paper we present a new toolbox that is developed for perceptual computing (PerC). This toolbox provides all requirements to implement PerC applications on different platforms and hence will promote perceptual computers in various domains. We will demonstrate the effectiveness of the developed procedures and will also describe an example of implementing a perceptual computer with the proposed toolbox.

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Key contribution

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Method / approach

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Available abstract

In this paper we present a new toolbox that is developed for perceptual computing (PerC). This toolbox provides all requirements to implement PerC applications on different platforms and hence will promote perceptual computers in various domains. We will demonstrate the effectiveness of the developed procedures and will also describe an example of implementing a perceptual computer with the proposed toolbox.

Key concepts: Toolbox, Python (programming language), Computer science, Perception, Human–computer interaction, Programming language, Neuroscience, Biology

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