Resources

5 results for "empatica"

Database Open Access

Regulation of Brain Cognitive States through Auditory, Gustatory, and Olfactory Stimulation with Wearable Monitoring

Hamid Fekri Azgomi, Luciano Branco, Md Rafiul Amin, et al.

Inspired by advances in wearable technologies, we design and perform human-subject experiments to investigate the impacts of applying safe actuation (i.e., auditory, gustatory, and olfactory) for the purpose of regulating the cognitive arousal state…
Published: Dec. 18, 2023. Version: 1.0.0
Database Open Access

CogWear: Can we detect cognitive effort with consumer-grade wearables?

Michal K Grzeszczyk, Rosmary Blanco, Paulina Adamczyk, et al.

The CogWear database consists of two datasets: pilot and survey gamification experiment. The pilot dataset includes physiological signals from 11 volunteers captured by three wearable devices (Empatica E4 watch, Samsung Galaxy Watch4 and Muse S EEG …
Published: March 31, 2023. Version: 1.0.0
Database Open Access

BIG IDEAs Lab Glycemic Variability and Wearable Device Data

Peter Cho, Juseong Kim, Brinnae Bent, et al.

This study aimed to determine the feasibility and effectiveness of wearable devices in detecting early physiological changes prior to the development of prediabetes [1-3]. The study generated digital biomarkers for remote, mHealth-based prediabetes …
Published: April 13, 2026. Version: 1.1.3
Database Open Access

Wearable Device Dataset from Induced Stress and Structured Exercise Sessions

Andrea Hongn, Facundo Bosch, Lara Prado, et al.

This original dataset contains physiological signals collected during structured acute stress induction and aerobic and anaerobic exercise sessions using a wearable device. Blood volume pulse, motion-based activity, skin temperature, and electroderm…
Published: June 24, 2025. Version: 1.0.1
Database Open Access

ScientISST MOVE: Annotated Wearable Multimodal Biosignals recorded during Everyday Life Activities in Naturalistic Environments

João Areias Saraiva, Mariana Abreu, Ana Sofia Carmo, et al.

Existing datasets containing physiological data are mostly acquired at rest or in controlled scenarios. As a result, algorithms developed using such data may not perform as well as with biosignals acquired in dynamic and uncontrolled environments. S…
Published: March 25, 2024. Version: 1.0.1