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Detecting driver phone calls in a moving vehicle based on voice features

机译:基于语音功能检测行驶中的车辆中的驾驶员电话

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The use of mobile phones while driving has become a major source of distraction to drivers, leading to a large number of car accidents. In this paper, we study the problem of automatically detecting driver phone calls by monitoring smartphone activities and utilizing the vehicle on-board unit. The challenges to overcome include: i) passenger phone calls should be allowed while the calls of the driver should be blocked; ii) the detection mechanism should be phone position-independent and phone owner-independent as the driver may put the smartphone at any position in the front row and make calls via an earphone, or the driver may borrow a passenger's phone to make a call; iii) the in-vehicle environment is noisy resulted from the operating engine, the music the driver and passenger may listen to, and the conversation between passengers and/or the driver; and iv) the computational cost at the smartphone should be light as realtime phone call detection is expected to effectively block an ongoing call to and from the driver. To overcome these challenges and achieve our objective of detecting driver phone calls, we take advantage of the uniqueness of individual's voice features. Through a short period of learning stage, our proposed system can recognize the driver's voice from the collected audio data. Combined with the smartphone's call state, our scheme can determine whether the driver is participating in the current phone call or not. Our strategy takes into account the complicated in-vehicle environment, and the proposed algorithm does not rely on the location of the phone within the vehicle nor the ownership of the smartphone, as the most existing driver phone call detection mechanisms do. We develop a client-server based system with the smartphones being the clients and the vehicle on-board unit being the server. To validate our mechanism, we perform extensive real-world experiments under different scenarios. The results demonstrate a high probability of detecting driver phone calls with a small false alarm rate.
机译:驾车时使用手机已成为吸引驾驶员注意力的主要来源,导致大量车祸。在本文中,我们研究了通过监视智能手机活动并利用车载单元自动检测驾驶员电话的问题。要克服的挑战包括:i)应该允许乘客打来电话,而驾驶员的呼叫应被阻止; ii)检测机制应与电话位置无关且与电话所有者无关,因为驾驶员可以将智能手机放在前排的任何位置并通过耳机拨打电话,或者驾驶员可以借用乘客的电话拨打电话; iii)由于操作引擎,驾驶员和乘客可能听见的音乐以及乘客和/或驾驶员之间的对话,导致车载环境嘈杂; iv)智能电话上的计算成本应该很小,因为实时电话呼叫检测有望有效阻止与驾驶员之间的正在进行的通话。为了克服这些挑战并实现检测驾驶员电话的目标,我们利用了个人语音功能的独特性。通过短暂的学习阶段,我们提出的系统可以从收集的音频数据中识别驾驶员的声音。结合智能手机的通话状态,我们的方案可以确定驾驶员是否正在参与当前的电话通话。我们的策略考虑到了复杂的车载环境,并且所提出的算法不像大多数现有的驾驶员电话呼叫检测机制那样依赖于车辆中电话的位置或智能手机的所有权。我们开发了基于客户端-服务器的系统,其中智能手机为客户端,车载单元为服务器。为了验证我们的机制,我们在不同情况下进行了广泛的实际实验。结果表明,以较低的误报警率检测到驾驶员电话的可能性很高。

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