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GLOS: GLOve for Speech Recognition

机译:GLOS:用于语音识别的手套

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Technological advancements in the field of Biomedical Engineering have allowed impaired individuals to use assistive devices in order to improve their quality of life. In the case of deafblind subjects, who experience both visual and auditory loss, the majority of available assistive devices are invasive (e.g. cochlear implants). Non-invasive technological improvements are extremely limited, in part due to the lack of scientific research interest in dual sensory loss [1]. In this paper we aim to present GLOS, a low-cost and non-invasive device that will allow the deafblind individuals to comprehend speeches in real-time. The proposed wearable device uses off-the-shelf components such as a Raspberry Pi 3 board, a simple microphone, and haptic feedback vibrating disks. The recorded speech from the microphone is processed by the board and encoded into 5 haptic vibrating modules attached to a glove. Each haptic vibrating module is placed on a different finger of the right hand. The current available non-invasive solutions do not use speech and therefore they do not allow for live communication (e.g. MyVox [2], Sparsha [3] and Mobile Lorm Glove [4]) or require long procedures to convert the messages (e.g. Finger Braille Teaching System [5]). This new biomedical device aims at overcoming these limitations. The authors tested the device in a preliminary testing and it was shown that GLOS has an average accuracy of 91.67% when tested for the recognition of twenty encoded sentences. The authors were deprived of both visual and hearing inputs and were trained for half hour per day for a period of 30 days.
机译:生物医学工程领域的技术进步允许受损个人使用辅助设备以提高他们的生活质量。在聋菌主体的情况下,谁经历了视觉和听觉损失,大多数可用辅助装置都是侵入性的(例如耳蜗植入物)。非侵入性技术改善极为有限,部分原因是缺乏对双感觉损失的科学研究兴趣[1]。在本文中,我们的目的是呈现GLOS,一种低成本和非侵入性设备,这些设备将允许悲伤的人实时地理解演讲。所提出的可穿戴设备使用诸如覆盆子PI 3板,简单的麦克风和触觉反馈振动盘等离上的部件。从麦克风的记录的语音由电路板处理,并编码成5个连接到手套的触觉振动模块。每个触觉振动模块放置在右手的不同手指上。目前可用的非侵入性解决方案不使用语音,因此它们不允许实现现场通信(例如MyVox [2],Sparsha [3]和移动Lorm手套[4])或需要长程序来转换消息(例如手指盲文教学系统[5])。这种新的生物医学设备旨在克服这些限制。作者在初步测试中测试了该装置,并显示出在测试二十个编码句子的测试时,Glos的平均精度为91.67%。作者被剥夺了视觉和听证投入,并在30天的时间内每天半小时培训。

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