NDLI: Is It Time to Rethink Motion Artifacts? Temporal Relationships between Electrodermal Activity and Body Movements in Real-Life Conditions

Content Provider	IEEE Xplore Digital Library
Author	Chellali, R. Hennig, S.
Copyright Year	2013
Description	Author affiliation: Pattern Anal. & Comput. Vision, Ist. Italiano di Tecnol. (IIT), Genoa, Italy (Chellali, R.; Hennig, S.)
Abstract	This work investigates the temporal dynamics between electro dermal activity (EDA) and gestures during real-life public speaking. Wrist movements and EDA were recorded from speakers during a high-stakes public speaking event. The extreme values theory, more typically used for detecting relatively rare events in financial markets or flood calculations, was adapted and combined with continuous wavelet transform to automatically detect significant temporal events from the derivatives of the movement and EDA time series. The literature describing motion artifacts in EDA predicts that detected movement events should precede or co-occur with EDA. In contrast, we also observed a second case in which EDA changes preceded movement (approximately 40% of cases). These results suggest that humans may move or gesture in response to affective changes, which has clear implications for anyone studying arousal and gesture 'in the wild.
Starting Page	330
Ending Page	335
File Size	628929
Page Count	6
File Format	PDF
ISBN	9780769550480
ISSN	21568111
DOI	10.1109/ACII.2013.61
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-09-02
Publisher Place	Switzerland
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Real world conditions Continuous wavelet transforms Electrodermal activity Shape Temporal dynamics Time series analysis Continuous wavelet transform Movement artifacts Extreme values theory Skin Sensors
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Is It Time to Rethink Motion Artifacts? Temporal Relationships between Electrodermal Activity and Body Movements in Real-Life Conditions

Detection of motion artifacts in fNIRS via the continuous wavelet transform

Spatio-temporal continuous wavelet transforms for motion-based segmentation in real image sequences. *.

A spatio-temporal filtering method for motion estimation

Wavelet-based motion artifact removal for electrodermal activity

Analysis of deformational transformations with spatio-temporal continuous wavelet transforms

Time Series Analysis of Sunspot Oscillations Using the Wavelet Transform

Accelerated spatio-temporal wavelet transforms: an iterative trajectory estimation

A real-time system for denoising of signals in continuous streams through the wavelet transform

Is It Time to Rethink Motion Artifacts? Temporal Relationships between Electrodermal Activity and Body Movements in Real-Life Conditions

Similar Documents

Is It Time to Rethink Motion Artifacts? Temporal Relationships between Electrodermal Activity and Body Movements in Real-Life Conditions

Detection of motion artifacts in fNIRS via the continuous wavelet transform

Spatio-temporal continuous wavelet transforms for motion-based segmentation in real image sequences. *.

A spatio-temporal filtering method for motion estimation

Wavelet-based motion artifact removal for electrodermal activity

Analysis of deformational transformations with spatio-temporal continuous wavelet transforms

Time Series Analysis of Sunspot Oscillations Using the Wavelet Transform

Accelerated spatio-temporal wavelet transforms: an iterative trajectory estimation

A real-time system for denoising of signals in continuous streams through the wavelet transform

Is It Time to Rethink Motion Artifacts? Temporal Relationships between Electrodermal Activity and Body Movements in Real-Life Conditions