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Method for non-speech vocalization to control UGVs using humming - (PPT)

机译:非语音发声的方法来控制UGVs使用Humming - (PPT)

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The aim of this work is to develop a humming-based solution to emulate joystick-type continuous commands for hands-free control of robots. Think-A-Move (TAM) has previously developed speech and tongue movement based hands-free control systems that work consistently even in extremely noisy environments. The novel idea behind this technology is that the acoustic signal is captured in the ear canal using a patented earpiece developed at TAM. The earpiece has a microphone which points into the ear canal to capture the sound signals. Speech based control is limited to producing discrete commands that are difficult to adapt to joystick-type directional robot control. With the addition of humming control to our system, the robot can sustain a continuous action as long as the operator keeps humming, thus providing the operator the ability to precisely control the robot. Besides continuous signal delivery, humming allows the operator to continuously vary a control signal by varying the pitch of the hum. This can have multiple uses. For example, an increase or decrease in pitch can be mapped to turning right or left. This is particularly useful for an operator to execute multiple, minute changes in direction for precise control. Using discrete speech commands, with inherent time delays, multiple, rapid corrections in direction are difficult. Varying pitch can also be used to implement continuous variation in velocity. For example, consider the case of pan-control of a camera using humming. To pan a camera over a vista to locate an object of interest, a user might want to sweep the camera rapidly over certain regions and then move it more slowly over others for increased scrutiny.
机译:这项工作的目的是开发一种嗡嗡声的解决方案,以模拟操纵杆型连续命令,以便无人驾驶机器人控制。 Think-a-move(TAM)先前已开发出基于言语和舌头运动的无人驾驶控制系统,即使在极度嘈杂的环境中也始终如一地工作。这项技术背后的新颖思想是,使用在TAM开发的专利的耳机在耳道中捕获声学信号。耳机具有麦克风,该麦克风指向耳道,以捕获声音信号。基于语音的控制限于产生难以适应操纵杆式定向机器人控制的离散命令。随着对我们的系统的蜂窝制的控制,机器人可以维持连续动作,只要操作员保持嗡嗡声,因此提供了操作员能够精确控制机器人的能力。除了连续的信号传送之外,Humming还允许操作员通过改变嗡嗡声的间距来连续地改变控制信号。这可以有多个用途。例如,音调的增加或减少可以映射到右或左转。这对于操作员来说是特别有用的,用于执行精确控制方向的多个微小变化。使用离散语音命令,具有固有的时间延迟,方向的多个快速校正很难。不同的间距也可用于实现速度的连续变化。例如,考虑使用嗡嗡声的相机的泛控制的情况。为了在Vista上播放相机来定位感兴趣的对象,用户可能希望在某些地区快速扫描相机,然后更慢地向其他区域移动,以便增加审查。

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