NDLI: Capacitive Measurement of Facial Activity Intensity

Content Provider	IEEE Xplore Digital Library
Author	Rantanen, V. Venesvirta, H. Spakov, O. Verho, J. Vetek, A. Surakka, V. Lekkala, J.
Copyright Year	2001
Abstract	The intensity measurement of facial muscle activity can be used in several applications such as human-computer interaction and behavioral science. A new method for the intensity measurement is presented. It is based on a contactless, capacitive measurement of the movements that the facial activity produces. The muscles responsible for raising the eyebrows, lowering the eyebrows, raising the mouth corners, and pulling down the mouth corners are measured simultaneously with the capacitive method and electromyography (EMG) during controlled experiments. Each muscle is activated by 10 participants at three different intensity levels (low, medium, and high), 10 repetitions at each level. The capacitive intensity values are in good agreement with the ones registered with the EMG: average mean absolute errors are between 7% and 12% of the observed intensity range. However, compared with the EMG, the capacitive intensity values are noticed to have offsets that may be partly caused by the measurement itself and partly by the EMG reference. As a result, the measurement may require a calibration for more intensity values than just the maximum. In the capacitive method, it is also required to distinguish between the muscle activations originating from the same facial regions to determine which activation is taking place. This is done with an almost perfect performance by using hierarchical clustering to cluster the intensity values.
Sponsorship	IEEE Sensors Council
Starting Page	4329
Ending Page	4338
Page Count	10
File Size	1265473
File Format	PDF
ISSN	1530437X
Volume Number	13
Issue Number	11
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-11-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	muscle activation intensity measurement Capacitive measurement distance measurement electromyography (EMG) facial activity measurement
Content Type	Text
Resource Type	Article
Subject	Instrumentation Electrical and Electronic Engineering

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

A Novel Algorithm for EMG Signal Processing and Muscle Timing Measurement

A Smart Textile Based Facial EMG and EOG Computer Interface

Changes in Muscle Activity and Kinematics of Highly Trained Cyclists During Fatigue

Combined Capacitive and Ultrasonic Distance Measurement for Automotive Applications

Examination of Hand Muscle Activation and Motor Unit Indices Derived from Surface EMG in Chronic Stroke

Fully Implantable Multi-Channel Measurement System for Acquisition of Muscle Activity

Development of quantitative evaluation factors for determining the level of facial muscle relaxation in rabbits using facial muscle electromyography

FES-Induced Torque Prediction With Evoked EMG Sensing for Muscle Fatigue Tracking

A State-Space EMG Model for the Estimation of Continuous Joint Movements

Capacitive Measurement of Facial Activity Intensity

Similar Documents

A Novel Algorithm for EMG Signal Processing and Muscle Timing Measurement

A Smart Textile Based Facial EMG and EOG Computer Interface

Changes in Muscle Activity and Kinematics of Highly Trained Cyclists During Fatigue

Combined Capacitive and Ultrasonic Distance Measurement for Automotive Applications

Examination of Hand Muscle Activation and Motor Unit Indices Derived from Surface EMG in Chronic Stroke

Fully Implantable Multi-Channel Measurement System for Acquisition of Muscle Activity

Development of quantitative evaluation factors for determining the level of facial muscle relaxation in rabbits using facial muscle electromyography

FES-Induced Torque Prediction With Evoked EMG Sensing for Muscle Fatigue Tracking

A State-Space EMG Model for the Estimation of Continuous Joint Movements

Capacitive Measurement of Facial Activity Intensity