ArticleScientific data2021
A dataset of daily ambulatory psychological and physiological recording for emotion research.
Article in Scientific data, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Article
- Designing Learning Intervention Studies: Identifiability of Heterogeneous Hidden Markov Models.Psychometrika · 2025Article
- A new framework for mental illnesses diagnosis using wearable devices aided by improved convolutional neural network.Scientific reports · 2025Article
- Utilizing Tympanic Membrane Temperature for Earphone-Based Emotion Recognition.Sensors (Basel, Switzerland) · 2025Article
- Travel experience in public transport: Experience sampling and cardiac activity data for spatial analysis.Scientific data · 2025Article
- Transformer-Driven Affective State Recognition from Wearable Physiological Data in Everyday Contexts.Sensors (Basel, Switzerland) · 2025Article
- Depression Recognition Using Daily Wearable-Derived Physiological Data.Sensors (Basel, Switzerland) · 2025Article
- The competitive esports physiological, affective, and video dataset.Scientific data · 2025Article
- A real-world dataset of group emotion experiences based on physiological data.Scientific data · 2024Article
- On reliability of annotations in contextual emotion imagery.Scientific data · 2023Article
- Building a Low-Cost Wireless Biofeedback Solution: Applying Design Science Research Methodology.Sensors (Basel, Switzerland) · 2023Article
- Emodiversity evaluation of remote workers through health monitoring based on intra-day emotion sampling.Frontiers in public health · 2023Observational
- A dataset of daily ambulatory psychological and physiological recording for emotion research.Scientific data · 2021Article
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6 authors.
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Abstract
To better understand the psychological and physiological basis of human emotion, increasing interest has been drawn towards ambulatory recordings of emotion-related data beyond the laboratories. By employing smartphones-based ambulatory assessment and wrist-worn physiological recording devices, the Daily Ambulatory Psychological and Physiological recording for Emotion Research (DAPPER) dataset provides momentary self-reports and physiological data of people's emotional experiences in their daily life. The dataset consists of ambulatory psychological recordings from 142 participants and physiological recordings from 88 of them over five days. Both the experience sampling method (ESM) and the day reconstruction method (DRM) were employed to have a comprehensive description of the participants' daily emotional experiences. Heart rate, galvanic skin response, and three-axis acceleration were recorded during the day time. By including multiple types of physiological and self-report data at a scale of five days with 100+ participants, the present dataset is expected to promote emotion researches in real-life, daily settings.
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