Enhancing the Cyclist Traffic Safety by Multimodel Interaction Design with Wearable Haptic Devices and Optical See-Through Head-Mounted Displays

Ning Miao, Manni Hou, Xinye Hong, Gang Wang, Xun Peng, Gang Ren
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Abstract

The emergence of the Internet of Vehicles will transform how various road users interact with one another. The safety of road users, such as cyclists, may be enhanced by the real-time traffic data gathered by the on-road sensors and autonomous vehicles. To communicate with vehicles or pedestrians, cyclists still use physical indications like head movements and hand gestures at the moment rather than taking advantage of the Internet of Vehicles and sensors. We outline research that uses multimodel interaction to improve bike traffic safety. To enhance traffic information awareness and increase bike safety, we deploy user interaction with head-mounted displays and wearable haptic displays for cyclists. We propose the detailed system architecture design and traffic event alerts provided by haptic and augmented reality visual interaction in various traffic scenarios. Initial user feedbacks suggest the positive potential to enhance the cyclists′ safety and further improve directions.
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基于可穿戴触觉设备和光学透明头戴式显示器的多模型交互设计提高骑行者的交通安全
车联网的出现将改变各种道路使用者之间的互动方式。道路传感器和自动驾驶汽车收集的实时交通数据可以提高道路使用者(如骑自行车者)的安全。为了与车辆或行人交流,骑自行车的人目前仍然使用头部运动和手势等物理指示,而不是利用车辆互联网和传感器。我们概述了使用多模型交互来提高自行车交通安全的研究。为了提高交通信息意识和提高自行车安全性,我们为骑自行车的人部署了头戴式显示器和可穿戴式触觉显示器的用户交互。我们提出了详细的系统架构设计和交通事件警报提供触觉和增强现实视觉交互在各种交通场景。最初的用户反馈表明,该系统具有提高骑车人安全并进一步改善方向的积极潜力。
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