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3 results for “Empatica”
Unlabeled Empatica E4 Wristband Data (UE4W) Dataset
<p>The UE4W dataset was recorded over a period of approximately two weeks by a singe adult male. We found that keeping accurate records and labeling were impractical so it was archived. However, recent advances in representation and unsupervised learning have led us to look at it again. The dataset contains over 250 hours of recordings using an Empatica E4 wristband. In general the longer files are daytime recordings, the shorter ones are nighttime. The tags indicate the beginning and end of an event change (E.g., getting up to go for walk) however the lack of a tag is not a meaningful indicator.</p> <p>A Jupyter notebook is provided which processes each file into a Pandas dataframe and generates a windowed plot of the total acceleration. Additional and updated code may be found on our <a href="https://github.com/imics-lab">IMICS lab github</a>.</p> <p>Several reference screenshots from the Empatica Connect Website are also included.</p>
EmoPulse Moments E4 Dataset (EPM-E4): An Exhaustive Collection of Emotion-Related Data from Empatica E4 Wearable
<p><strong>EmoPulse Moments E4 Dataset (EPM-E4): An Exhaustive Collection of Emotion-Related Data from Empatica E4 Wearable</strong></p> <p> </p> <p> </p> <p><strong>Description</strong>:</p> <p>The EmoPulse Moments E4 Dataset (EPM-E4) is a meticulously curated dataset, derived from 53 participants using the Empatica E4 wearable, a cutting-edge device capturing emotional responses in real-time. This dataset offers a treasure trove of information for those engrossed in emotion analysis, wearable technology, and psychophysiological research.</p> <p><strong>Dataset Highlights</strong>:</p> <ul> <li><strong>Continuous Physiological Data</strong>: Including heart rate, electrodermal activity, and skin temperature, revealing the body's emotional state.</li> <li><strong>Motion Tracking</strong>: Captures the device's 3D movement, integrating context with emotion.</li> <li><strong>Blood Volume Pulse (BVP)</strong>: Providing insights into cardiovascular activities related to emotional arousal.</li> <li><strong>Intra-day Variability</strong>: Chronicling daily emotional patterns and changes, spotlighting moments of heightened emotional intensity.</li> <li><strong>Wearable-specific Metrics</strong>: Device battery levels, operational status, and other key indicators are documented with precision.</li> <li><strong>Consent and Ethics</strong>: The dataset respects and upholds privacy and ethical standards. Every participant provided informed consent. This endeavor has received the green light from the Ethics Committee at the University of Granada, documented under the reference: 2100/CEIH/2021.</li> </ul> <p>A major attribute of EPM-E4 is the in-depth exploration of "key moments" within the viewed clips, targeting instances that are predicted to intensify emotional reactions.</p> <p><strong>Curated Video Clips within Dataset</strong>:</p> Film Emotion Duration (seconds) The Lover Baseline 43 American History X Anger 106 Cry Freedom Sadness 166 Alive Happiness 310 Scream Fear 395 <p>EPM-E4's groundbreaking focus on these key moments bridges the gap between cinematic events and nuanced physiological responses captured by the Empatica E4 wearable.</p> <p><strong>Key Emotional Moments in Dataset</strong>:</p> Film Emotion Key moment timestamps (seconds) American History X Anger 36, 57, 68 Cry Freedom Sadness 112, 132, 154 Alive Happiness 227, 270, 289 Scream Fear 23, 42, 79, 226, 279, 299, 334 <p><strong>Based on</strong>: Gilman, T. L., et al. (2017). A film set for the elicitation of emotion in research. Behavior Research Methods, 49(6). </p> <p>With its meticulous design and extensive reach, the EmoPulse Moments E4 Dataset aims to pioneer advances in wearable technology, psychophysiology, and affective computing, furnishing a detailed blueprint for decoding and exploring human emotions via real-time wearable data.<br> <br> <em>The ethical consent for this dataset was provided by La Comisión de Ética en Investigación de la Universidad de Granada, as documented in the approval titled: 'DETECCIÓN AUTOMÁTICA DE LAS EMOCIONES BÁSICAS Y SU INFLUENCIA EN LA TOMA DE DECISIONES MEDIANTE WEARABLES Y MACHINE LEARNING' registered under 2100/CEIH/2021.</em></p>
Generalized Seizure Detection And Alerting In The EMU With The Empatica Embrace Watch And Smartphone-Based Alert System
ClinicalTrials.gov study NCT03207685. IPD Sharing: Not stated. Countries: 2. Publications: 0.
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