Using Perceptual Evaluation to Quantify Cognitive and Visual Driver Distractions
作者： Nanxiang Li , Carlos Busso
DOI: 10.1007/978-1-4614-9120-0_11
关键词:
摘要: Developing feedback systems that can detect the attention level of driver play a key role in preventing accidents by alerting about possible hazardous situations. Monitoring drivers’ distraction is an important research problem, especially with new forms technology are made available to drivers. An question how define reference labels be used as ground truth train machine-learning algorithms distracted The answer this not simple since drivers affected visual, cognitive, auditory, psychological, and physical distractions. This chapter proposes perceptual evaluations from external evaluators. We describe consistency effectiveness using visual-cognitive space for subjective evaluations. analysis shows approach captures multidimensional nature representation also defines natural modes characterize driving behaviors.
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sci-hub.st 参考文章(43)
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