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Extracted Features and Labels

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DataCite Commons2025-06-30 更新2026-05-03 收录
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https://kilthub.cmu.edu/articles/dataset/Extracted_Features_and_Labels/29396522
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资源简介:
This depository contains extracted data used for the proof-of-concept classifier training in the study <b>Non-Emergency Notification Timing in Autonomous Vehicles</b>. It is part of the <b>Non-Emergency Notification Timing in Autonomous Vehicles</b> artifact collection: 10.1184/R1/c.7894613. We created clips of behavioral and vehicular data streams (see 10.1184/R1/29410371, "Processed Data", for the data origin) with various time windows (ranging from 5s to 20s) and calculated the mean, standard deviation, and "change" (difference between means in the first and second half of the time window) of individual data streams. This results in 700 data points in total. Note that three participants (D101, D109, and D110) always provided positive labels during their sessions. <b>For more details about the content of this dataset, please refer to </b><code><strong>README.txt</strong></code><b>.</b><br><br>
提供机构:
Carnegie Mellon University
创建时间:
2025-06-26
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