Ning Miao, Manni Hou, Xinye Hong, Gang Wang, Xun Peng, Gang Ren
{"title":"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","authors":"Ning Miao, Manni Hou, Xinye Hong, Gang Wang, Xun Peng, Gang Ren","doi":"10.1109/ECICE55674.2022.10042959","DOIUrl":null,"url":null,"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.","PeriodicalId":282635,"journal":{"name":"2022 IEEE 4th Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Enhancing the Cyclist Traffic Safety by Multimodel Interaction Design with Wearable Haptic Devices and Optical See-Through Head-Mounted Displays\",\"authors\":\"Ning Miao, Manni Hou, Xinye Hong, Gang Wang, Xun Peng, Gang Ren\",\"doi\":\"10.1109/ECICE55674.2022.10042959\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":282635,\"journal\":{\"name\":\"2022 IEEE 4th Eurasia Conference on IOT, Communication and Engineering (ECICE)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-10-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE 4th Eurasia Conference on IOT, Communication and Engineering (ECICE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ECICE55674.2022.10042959\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE 4th Eurasia Conference on IOT, Communication and Engineering (ECICE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ECICE55674.2022.10042959","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Enhancing the Cyclist Traffic Safety by Multimodel Interaction Design with Wearable Haptic Devices and Optical See-Through Head-Mounted Displays
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.