Design of Intelligent Drawer Control System Based on Speech Recognition Technology

DOI

10.2991/isrme-15.2015.115How to use a DOI?

Keywords

intelligent drawer; speech recognition; embedded microprocessor; stepper motor; ball screw

Abstract

Aiming at the problem that surgeons can not open unsterilized drawers by themselves after hand disinfection, intelligent drawer speech recognition control system was designed. The system based on non-specific person speech recognition technology takes embedded microprocessor as the core, consists of power modules, speech recognition module, stepper motor driver module and action execution system. Key words list and distance of recognition is set in program as needed, then speech recognition control system tests whether the speech of non-specific person accords with the given key words, and generates pulse width modulation signal to control stepper motor, then ball screw convert stepper motor's rotary motion into linear motion to control drawer's open and close. In order to ensure system performance, the corresponding experiments were did. Experiment results showed that speech recognition rate of system in the indoor environment can reach 90% or more, and it in the outdoor environment also can reach 81.7%. System stability is better in the quiet, and control system could do correct response when key words are said two times at the most. And it has declined in the noisy, and in order to make control system do correct response, some control orders need to be said three times or more. System real-time response can be guaranteed in the quiet, and response time is less than 2 s, it need more time in the noisy.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Shaogang Wang
AU  - Yinfa Yan
AU  - Zhanhua Song
AU  - Hualu Song
AU  - Fa-de Li
PY  - 2015/04
DA  - 2015/04
TI  - Design of Intelligent Drawer Control System Based on Speech Recognition Technology
BT  - Proceedings of the 2015 International Conference on Intelligent Systems Research and Mechatronics Engineering
PB  - Atlantis Press
SP  - 548
EP  - 552
SN  - 1951-6851
UR  - https://doi.org/10.2991/isrme-15.2015.115
DO  - 10.2991/isrme-15.2015.115
ID  - Wang2015/04
ER  -