Abstract: Recent research has demonstrated the feasibility of detecting abnormal driver behavior using only a smartphone, leveraging the sensors embedded in modern devices. To further advance driver behavior detection technologies and promote the democratization and widespread use of such systems, this paper classifies smartphone-based driver behavior detection methods from the perspectives of sensor solutions and detection algorithms. It summarizes and highlights potential issues that need attention during the process of hazard warning and detection. Moreover, it discusses the potential future of integrating this technology with path navigation and planning systems, while also suggesting that issues related to data privacy protection and detection accuracy require further research. Smartphone-based driver behavior detection and analysis technologies exhibit high accuracy and reliability, and are expected to have broader applications in the future.

Key words: smartphones; driver; behavioral testing; behavior model

摘要： 现有智能手机所搭载的传感器能够满足对驾驶人行为的检测与提醒，近年来已有仅使 用智能手机来实现异常驾驶员行为检测的研究成果。为进一步推进驾驶人行为检测技术的发 展，推动检测设备平民化，普及化，文章从传感器利用方案和检测算法角度入手简单对基于 智能手机的驾驶人行为检测方法进行了分类，总结并提出了手机检测系统在危险提示和检测 过程中需要注意的潜在问题。提出了该技术在结合路径导航和规划系统后的可能前景，并提 出了数据隐私保护和检测精度等问题需要进一步研究的建议。基于智能手机的驾驶员行为检 测与分析技术具有很高的准确性和可靠性，在未来将会有更广泛的应用前景。

关键词: 智能手机；驾驶人；行为检测；行为模型