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EmoPhone: A Multi-Wave Dataset for In-the-Wild Mobile and Wearable Affect Sensing

Zhang, Panyu et al.
arXiv (OAI Expanded) · Papers
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We introduce a three-wave, in-the-wild multimodal dataset for affect sensing that integrates smartphone sensing, wearable sensing, and dense experience-sampling-method (ESM) labels collected annually from 2020 to 2022. The dataset supports moment-level affect modeling through a shared dimensional la
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