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Application of Physiological Sensors for Personalization in Semi-Autonomous Driving: A Review
IEEE Sensors Journal ( IF 4.3 ) Pub Date : 2021-07-26 , DOI: 10.1109/jsen.2021.3100038
Edric John Cruz Nacpil , Zheng Wang , Kimihiko Nakano

As automobiles become increasingly autonomous, there is growing interest in personalized automation based on human behavior. However, there is an increasing need for behavioral data from vehicle occupants that could be acquired through physiological sensors. Hence, the motivation of this review is to provide information to develop practical physiological sensors to assess behavior, while maintaining the acceptance, privacy, and safety of vehicle occupants. In order to improve driver and passenger experiences and build trust between autonomous vehicles and humans, the current review considers a number of studies addressing driving tasks based on sensors that monitor vehicle occupant behavior. By including applications to emergency and non-emergency driving scenarios, a survey of literature is conducted on physiological sensing for personalization of semi-autonomous driving. Given the limited availability of sensor technology that is specifically designed to monitor behavior in automobiles, the survey is provided as a resource to further physiological sensor development for automotive applications.

中文翻译:

生理传感器在半自动驾驶中的个性化应用:综述

随着汽车越来越自动化,人们对基于人类行为的个性化自动化越来越感兴趣。然而,对可以通过生理传感器获取的车辆乘员行为数据的需求越来越大。因此,本次审查的动机是提供信息以开发实用的生理传感器来评估行为,同时保持车辆乘员的接受度、隐私和安全。为了改善驾驶员和乘客的体验,并在自动驾驶汽车与人类之间建立信任,当前的审查考虑了一些基于监测车辆乘员行为的传感器来解决驾驶任务的研究。通过包括紧急和非紧急驾驶场景的应用程序,对用于半自动驾驶个性化的生理传感进行了文献调查。鉴于专门设计用于监测汽车行为的传感器技术的可用性有限,因此提供该调查作为进一步开发汽车应用生理传感器的资源。
更新日期:2021-09-17
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