NDLI: Exploiting biometric measurements for prediction of emotional state: A preliminary study for healthcare applications using keystroke analysis

Please wait, while we are loading the content...

2014 IEEE Workshop on Biometric Measurements and Systems for Security and Medical Applications (BIOMS) Proceedings

Table of contents

Message from the chairperson

Babies: Biometric authentication of newborn identities by means of ear signatures

Point-Triplet Spin-Images for Landmark Localisation in 3D Face Data

Smartphone based robust iris recognition in visible spectrum using clustered K-means features

Evaluating software-based fingerprint liveness detection using Convolutional Networks and Local Binary Patterns

Cross-database evaluation using an open finger vein sensor

Ballprints as an infant biometric: A first approach

A new approach stereo based palmprint extraction in unrestricted postures

Palmprint principal lines extraction

Miniaturized on-body patch antenna for 430MHz wireless digestive monitoring system

The patient centered Electronic Multimedia Health Fascicle - EMHF

A wire-free, non-invasive, low-cost video processing-based approach to neonatal apnoea detection

Exploiting biometric measurements for prediction of emotional state: A preliminary study for healthcare applications using keystroke analysis

Gaussian dictionary for Compressive Sensing of the ECG signal

HeartCode: A novel binary ECG-based template

Robustness of forensic speaker verification systems based on Alize/Lia_Ral toolkit

Author index

2013 IEEE Workshop on Biometric Measurements and Systems for Security and Medical Applications

2012 IEEE Workshop on Biometric Measurements and Systems for Security and Medical Applications (BIOMS) Proceedings

2011 IEEE Workshop on Biometric Measurements and Systems for Security and Medical Applications (BIOMS)

2010 IEEE Workshop on Biometric Measurements and Systems for Security and Medical Applications

Exploiting biometric measurements for prediction of emotional state: A preliminary study for healthcare applications using keystroke analysis

Content Provider	IEEE Xplore Digital Library
Author	Fairhurst, M. Cheng Li Erbilek, M.
Copyright Year	2014
Description	Author affiliation: Sch. of Eng. & Digital Arts, Univ. of Kent, Canterbury, UK (Fairhurst, M.; Cheng Li; Erbilek, M.)
Abstract	Biometric measurements are now often routinely adopted as a robust means of determining individual identity. Such an approach is clearly beneficial in a variety of scenarios, including those relating to medical environments. In the medical context, however, the use of biometric data can potentially offer other valuable opportunities for harnessing the power of biometrics which have a more direct bearing on healthcare monitoring and treatment delivery. In this paper we focus on the prediction of “soft” biometric data and, in particular, we describe an approach which aims to predict “higher level” characteristics about an individual, such as those which may broadly be described as emotional or mental state. We show how such a capability can be utilised in healthcare scenarios, and specifically, by presenting some initial analysis of results from newly acquired data in a keystroke-based data collection task, we identify the most crucial issues which must be addressed if our basic predictive technique is to be developed for practical viability.
Starting Page	74
Ending Page	79
File Size	709600
Page Count	6
File Format	PDF
e-ISBN	9781479951765
DOI	10.1109/BIOMS.2014.6951539
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-10-17
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Context Emotion prediction and recognition Accuracy Databases Keystroke dynamics Keyboards Medical services Educational institutions Bioinformatics
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

A preliminary study of a new soft biometric: finger recognition for keystroke dynamics.

Recognizing emotions on the basis of keystroke dynamics

User identification using Keystroke Dynamics

A review of emotion recognition methods based on keystroke dynamics and mouse movements

The effect of emotion on keystroke: An experimental study using facial feedback hypothesis

A Preliminary Study of a New Soft Biometric Finger Recognition for Keystroke Dynamics

Emotional healthcare system: Emotion detection by facial expressions using Japanese database

A Preliminary Study of a New Soft Biometric Finger Recognition for Keystroke Dynamics

Identifying emotional states using keystroke dynamics.

Exploiting biometric measurements for prediction of emotional state: A preliminary study for healthcare applications using keystroke analysis

Similar Documents

A preliminary study of a new soft biometric: finger recognition for keystroke dynamics.

Recognizing emotions on the basis of keystroke dynamics

User identification using Keystroke Dynamics

A review of emotion recognition methods based on keystroke dynamics and mouse movements

The effect of emotion on keystroke: An experimental study using facial feedback hypothesis

A Preliminary Study of a New Soft Biometric Finger Recognition for Keystroke Dynamics

Emotional healthcare system: Emotion detection by facial expressions using Japanese database

A Preliminary Study of a New Soft Biometric Finger Recognition for Keystroke Dynamics

Identifying emotional states using keystroke dynamics.

Exploiting biometric measurements for prediction of emotional state: A preliminary study for healthcare applications using keystroke analysis