Speech-recognition cloud harvesting for improving the navigation of cyber-physical wheelchairs for disabled persons

被引:9
|
作者
Kolozvari, Andrej [1 ]
Stojanovic, Radovan [2 ]
Zupan, Anton [3 ]
Semenkin, Eugene [4 ]
Stanovov, Vladimir [4 ]
Kofjac, Davorin [1 ]
Skraba, Andrej [1 ]
机构
[1] Univ Maribor, Fac Org Sci, Cybernet & Decis Support Syst Lab, Kidriceva Cesta 55a, Kranj 4000, Slovenia
[2] Univ Montenegro, Fac Elect Engn, Dzordza Vasingtona Bb, Podgorica 81000, Montenegro
[3] Univ Rehabil Inst, Linhartova 51, Ljubljana 1000, Slovenia
[4] Reshetnev Siberian State Univ Sci & Technol, Inst Comp Sci & Telecommun, Krasnoyarskiy Rabochiy 31, Krasnoyarsk 660037, Russia
关键词
Cyber-physical systems; Internet of Things; Speech recognition; Mobile robots;
D O I
10.1016/j.micpro.2019.06.006
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
A cyber-physical system for a speech-controlled wheelchair has been proposed. It is based on cloud-harvesting principles, which result in significant improvement in command error rate (CER). The overall methodology and developed cloud-harvesting algorithm have been presented, discussed, and tested. The combination of IBM Watson and Google Cloud Speech APIs gave significantly better results than the use of solitary speech recognition APIs. The proposed approach shows the potential for and usability of speech-controlled wheelchairs, as well as in similar applications. (C) 2019 Elsevier B.V. All rights reserved.
引用
收藏
页码:179 / 187
页数:9
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