残疾人网络-物理语言控制轮椅的研制

A. Škraba, Andrej Kolozvari, D. Kofjac, R. Stojanovic, E. Semenkin, V. Stanovov
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引用次数: 5

摘要

描述了残疾人网络物理语音控制轮椅的三个阶段的发展。最初,为了测试使用基于云的语音识别系统进行轮椅实时操作的可行性,建立了一个小型原型。在第二阶段,制造出全尺寸的原型,并在实验室和临床环境中进行测试。在第三阶段,全尺寸原型车配备了距离传感器和先进的半自主驾驶控制算法。系统架构描述与边缘计算语音识别的重要补充。使用了6个云语音识别服务和2个离线服务,因为使用多个语音识别系统可以提高系统的可靠性和延迟。此外,还介绍了软件和硬件技术,以及用于轮椅运动控制的多云/边缘系统的创新应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Development of Cyber-Physical Speech-Controlled Wheelchair for Disabled Persons
The three-stage development of a cyber-physical speech-controlled wheelchair for disabled persons is described. Initially, a small prototype was built to test the feasibility of using cloud-based speech recognition systems for real-time wheelchair maneuvering. In the second stage, the full-sized prototype was built and tested in a laboratory and in a clinical environment. In the third stage, the full-scale prototype was equipped with distance sensors and an advanced control algorithm for semi-autonomous drive. The system architecture is described with the important addition of edge computing for speech recognition. Six cloud speech recognition services and two offline services were used, as using multiple speech recognition systems improves system reliability and latency. The software and hardware technologies are described, in addition to an innovative application of multiple cloud/edge systems for wheelchair motion control.
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