Natural language-based user interface for mobile devices with limited resources

So Young Park, Jeunghyun Byun, Hae Chang Rim, Do Gil Lee, Heuiseok Lim

Research output: Contribution to journalArticlepeer-review

9 Citations (Scopus)


In this paper, we propose a natural languagebased interface model to enable a user to articulate a request without having any specific knowledge about a mobile device. In consideration of the very limited computing and memory capacity of the mobile device and to keep the development cost low, the proposed model does not depend on typical natural language techniques, but on a ranking technique, that is simplified based on the mathematical derivation process with the following assumptions. One assumption is that a device control command consists of a function and its parameters. The other assumption is that the parameter is represented as few predictable patterns, whereas the function can be represented as various sentence patterns. To deal with these various sentence patterns, the proposed model selects the top ranked command candidate with the highest score after generating all possible candidates with their scores. Furthermore, the ranking score function is designed to achieve a high discriminative capability by the simulation of the process of generating every candidate. Experimental results show that the proposed model with 2.9 megabytes performs at 96.27% accuracy, which is slightly lower than 97.06% of the baseline model with 135.2 megabytes.

Original languageEnglish
Article number5681076
Pages (from-to)2086-2092
Number of pages7
JournalIEEE Transactions on Consumer Electronics
Issue number4
Publication statusPublished - 2010 Nov

Bibliographical note

Funding Information:
1This work was supported by National Research Foundation of Korea Grant funded by the Korean Government (2010-0014325).


  • Embedded Approach
  • Mobile Devices
  • Natural Language Processing
  • User Interface

ASJC Scopus subject areas

  • Media Technology
  • Electrical and Electronic Engineering


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