Automatized Generation of Alphabets of Symbols

Abstract

In this paper, we discuss the generation of symbols (and alphabets) based on specific user requirements (medium, priorities, type of information that needs to be conveyed). A framework for the generation of alphabets is proposed, and its use for the generation of a shorthand writing system is explored. We discuss the possible use of machine learning and genetic algorithms to gather inputs for generation of such alphabets and for optimization of already generated ones. The alphabets generated using such methods may be used in very different fields, from the creation of synthetic languages and constructed scripts to the creation of sensible commands for multimodal interaction through Human-Computer Interfaces, such as mouse gestures, touchpads, body gestures, eye-tracking cameras, and brain-computing Interfaces, especially in applications for elderly care and people with disabilities.

arXiv comment4 pages, 3 figures; Federated Conference on Computer Science and Information Systems, Prague (FedCSIS-2017) (Prague, Czech Republic)

References in corpus (1)

• Deep Learning for Fatigue Estimation on the Basis of Multimodal Human-Machine Interactions

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