Skip to main navigation
Skip to search
Skip to main content
The UWS Academic Portal Home
Help & FAQ
Home
Profiles
Research units
Research output
Activities
Press/Media
Projects
Prizes
Search by expertise, name or affiliation
A multimodal dataset of cardiac, electrodermal, and environmental signals
Cezar Anicai
*
,
Muhammad Zeeshan Shakir
*
Corresponding author for this work
School of Computing, Engineering and Physical Sciences
Research output
:
Contribution to journal
›
Article
›
peer-review
40
Downloads (Pure)
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'A multimodal dataset of cardiac, electrodermal, and environmental signals'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Ambient Environment
100%
Multimodal Data
100%
Electrodermal
100%
Cardiac Signal
100%
Environmental Signals
100%
Physiological Response
66%
Ambient Conditions
66%
Context-aware
33%
Health Indicators
33%
Cardiac Activity
33%
Particulate Matter
33%
Real Environment
33%
Individual Well-being
33%
Volatile Organic Compounds
33%
Air Quality
33%
Two-component Domains
33%
Temperature-humidity Index
33%
Rapidly Evolving
33%
Signal Response
33%
Sound Quality
33%
Health Monitoring
33%
Cardiac Health
33%
Diverse Environment
33%
Well-being Indicators
33%
Technological Landscape
33%
Sound Pressure
33%
Environment Parameters
33%
Context-aware Technology
33%
Electrodermal Activity
33%
Indoor Climate
33%
Light Quality
33%
Environment Risk
33%
Engineering
Ambient Environment
100%
Ambient Condition
66%
Health Monitoring
33%
Air Quality
33%
Atmospheric Aerosol
33%
Sound Pressure
33%
Environment Parameter
33%
Cardiac Term
33%
Computer Science
Ambient Environment
100%
Physiological Response
66%
Signal Response
33%