盲人智能手杖上障碍物距离的语音预警

Atmiasri Atmiasri, Akhmad Solikin, Rasyida Shabihah Zukro A.
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引用次数: 0

摘要

盲人的行动往往受到阻碍,而目前可用的辅助技术包括手动操纵杆和电子移动设备。目前,智能手杖的开发仍在许多研究中进行。智能手杖通过检测手杖与前方障碍物的距离来工作。通过检测这个距离,用户得到的响应通常是蜂鸣器发出的振动和声音。蜂鸣器发出的声音不能区分障碍物之间的距离。因此,本研究提出存在额外的声音回放响应来区分远、中、近障碍物。除此之外,原型机的设计参考了手电筒的形状。智能拐杖使用Arduini UNO微控制器设计,带有可充电电池电源,具有三个响应组件,即两个连接到扬声器的ISD 1820模块,用于检测长距离(201-300厘米)的“hti -hati”声音和中距离(101-200厘米)的“Awas”声音,以及蜂鸣器和压电组件,以“beep”声音的形式和近距离(1-100厘米)障碍物的振动。结果表明,超声波传感器和响应元件均按设计要求工作。除此之外,可充电电池供电功能和原型设计的实施,让用户在日常活动中更容易存储和使用。
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Voice Warning to Identify Distance to Obstacles on Smart Cane for Blind People
Blind people are often hampered in their mobility, while currently available assistive technology includes manual sticks and electronic mobility devices. Currently, the development of smart canes is still being carried out in many studies. Smart cane works by detecting the distance of the cane to obstacles in front of you. From detecting this distance, the response the user gets is generally in the form of vibrations and sounds from the buzzer. The sound provided by the buzzer cannot differentiate the distance between obstacles. Therefore, this study proposes the existence of additional sound playback responses to differentiate far, middle, and near obstacles. Apart from that, the design of the prototype refers to the shape of a flashlight. The smart cane is designed using an Arduini UNO microcontroller with a rechargeable battery power supply with three response components, namely two ISD 1820 modules connected to a speaker to detect long distances (201-300 cm) with a "Hati-hati" sound and medium distances (101-200 cm) with an "Awas" sound, as well as a buzzer and piezoelectric component in the form of a "beep" sound and vibration for close distances (1-100 cm) to obstacles. The result is that both the ultrasonic sensor and response components work according to design. Apart from that, the rechargeable battery supply feature and the implementation of the prototype design make it easier for users to store and use for daily activities.
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发文量
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审稿时长
9 weeks
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