Identifying Urban Mobility Challenges For The Visually Impaired With Mobile Monitoring Of Multimodal Biosignals
UNIVERSAL ACCESS IN HUMAN-COMPUTER INTERACTION: USERS AND CONTEXT DIVERSITY, PT III(2016)
摘要
In this study, we aim to better the user experience of the visually impaired when navigating in unfamiliar outdoor environments assisted by mobility technologies. We propose a framework for assessing their cognitive-emotional experience based on ambulatory monitoring and multimodal fusion of electroencephalography, electrodermal activity, and blood volume pulse signals. The proposed model is based on a random forest classifier which successfully infers in an automatic way the correct urban environment among eight predefined categories (AUROC 93 %). Geolocating the most predictive multimodal features that relate to cognitive load and stress, we provide further insights into the relationship of specific biomarkers with the environmental/situational factors that evoked them.
更多查看译文
关键词
Visual impairment, Multimodal, Data fusion, EEG, EDA, BVP, Classification, Stress, Cognitive load, Urban mobility
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要