Breathing is a natural and directly controllable human activity. Currently, some works have considered breath as a direct input controlling mechanism. The equipment relied upon in these works is generally complicated, expensive, inconvenient to wear, and sometimes insufficiently controllable. The use of breathing interaction is also limited to a certain scene and is not universal. This paper proposes an adaptive interaction method, which is a natural and directly controllable interaction based on blowing air that only uses headset microphones to obtain the sound waveform of the blowing action without requiring expensive equipment, and that can be used conveniently anytime and anywhere. This blowing interaction uses a Siamese network to achieve “self-adaptation” - the first step adapts to noise interference, including environmental noise and the user’s own speaking interference, and the second step adapts to different users and equipment, that is, the blowing interaction is used by different people or on different equipment, and the interaction mode can accurately identify the type of blowing. This paper also develops several applications of the blowing interaction method to test the algorithm. During tests, it’s proved that this interface not only increases the type of blowing used for interaction but also eliminates interference from speaking in a normal volume effectively and addresses the problem of individual differences.

中文翻译：

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基于连体网络的自适应吹气交互方法

呼吸是一种自然的、可直接控制的人类活动。目前，一些作品已经将呼吸视为一种直接输入控制机制。这些工作所依赖的设备通常复杂、昂贵、佩戴不便，有时还不够可控。呼吸交互的使用也仅限于某个场景，并不具有普遍性。本文提出了一种自适应交互方法，该方法是一种基于吹气的自然、直接可控的交互，仅使用耳机麦克风获取吹气动作的声音波形，无需昂贵的设备，可以随时随地方便地使用。这种吹气交互使用了一个连体网络来实现“自适应”——第一步适应噪声干扰，包括环境噪声和用户自身的说话干扰，第二步适应不同的用户和设备，即吹气交互由不同的人或在不同的设备上使用，交互方式可以准确识别吹气的类型。本文还开发了吹气交互方法的几种应用来测试算法。经测试证明，该接口不仅增加了互动的吹气类型，还有效消除了正常音量说话的干扰，解决了个体差异问题。交互模式可以准确识别吹气类型。本文还开发了吹气交互方法的几种应用来测试算法。经测试证明，该接口不仅增加了互动的吹气类型，还有效消除了正常音量说话的干扰，解决了个体差异问题。交互模式可以准确识别吹气类型。本文还开发了吹气交互方法的几种应用来测试算法。经测试证明，该接口不仅增加了互动的吹气类型，还有效消除了正常音量说话的干扰，解决了个体差异问题。