MARC details
000 -LEADER |
fixed length control field |
04412nam a22003377a 4500 |
003 - CONTROL NUMBER IDENTIFIER |
control field |
IE-CoIT |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20231116062747.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
181016s2018 ie ||||| |||| 00| 0|eng|| |
040 ## - CATALOGING SOURCE |
Original cataloging agency |
IE-CoIT |
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
Classification number |
THESES PRESS |
100 1# - MAIN ENTRY--PERSONAL NAME |
9 (RLIN) |
125475 |
Personal name |
Keary, Alphonsus |
Relator term |
author |
245 10 - TITLE STATEMENT |
Title |
Affective computing for emotion detection using vision and wearable sensors / |
Statement of responsibility, etc. |
Alphonsus Keary. |
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
Place of production, publication, distribution, manufacture |
Cork : |
Name of producer, publisher, distributor, manufacturer |
Cork Institute of Technology, |
Date of production, publication, distribution, manufacture, or copyright notice |
2018. |
300 ## - PHYSICAL DESCRIPTION |
Extent |
xxv, 490 pages : |
Other physical details |
illustratons (some color) |
Dimensions |
30 cm + |
Accompanying material |
1 DVD |
336 ## - CONTENT TYPE |
Content type term |
text |
Content type code |
txt |
Source |
rdacontent |
Materials specified |
book |
336 ## - CONTENT TYPE |
Content type term |
two-dimensional moving image |
Content type code |
tdi |
Source |
rdacontent |
Materials specified |
DVD |
337 ## - MEDIA TYPE |
Media type term |
unmediated |
Media type code |
n |
Source |
rdamedia |
Materials specified |
book |
337 ## - MEDIA TYPE |
Media type term |
video |
Media type code |
v |
Source |
rdamedia |
Materials specified |
DVD |
338 ## - CARRIER TYPE |
Carrier type term |
volume |
Carrier type code |
nc |
Source |
rdacarrier |
Materials specified |
book |
338 ## - CARRIER TYPE |
Carrier type term |
videodisc |
Carrier type code |
vd |
Source |
rdacarrier |
Materials specified |
DVD |
490 0# - SERIES STATEMENT |
Series statement |
Ph.D - Computer science |
502 ## - DISSERTATION NOTE |
Dissertation note |
Thesis |
Degree type |
|
Name of granting institution |
Cork Institute of Technology, |
Year degree granted |
2018. |
504 ## - BIBLIOGRAPHY, ETC. NOTE |
Bibliography, etc. note |
Bibliography: (pages 430-489) |
520 3# - SUMMARY, ETC. |
Summary, etc. |
"The research explores the opportunities, challenges, limitations, and presents advancements in computing that relates to, arises from, or deliberately influences emotions (Picard, 1997). The field is referred to as Affective Computing (AC) and is expected to play a major role in the engineering and development of computationally and cognitively intelligent systems,processors and applications in the future. Today the field of AC is bolstered by the emergence of multiple sources of affective data and is fueled on by developments under various Internet of Things (IoTs) projects and the fusion potential of multiple sensory affective data streams. The core focus of this thesis involves investigation into whether the sensitivity and specificity (predictive performance) of AC, based on the fusion of multi-sensor data streams, is fit for purpose? Can such AC powered technologies and techniques truly deliver increasingly accurate emotion predictions of subjects in the real world? The thesis begins by presenting a number of research justifications and AC research questions that are used to formulate the original thesis hypothesis and thesis objective. As part of the research conducted, a detailed state of the art investigations explored many aspects of AC from both a scientific and technological perspective. The complexity of AC as a multi-sensor, multi-modality, data fusion problem unfolded during the state of the art research and this ultimately led to novel thinking and origination in the form of the creation of the AC conceptualised architecture that will act as a practical and theoretical foundation for the engineering of future AC platforms and solutions. The AC conceptual architecture developed as a result of this research, was applied to the engineering of a series of software artifacts that were combined to create a prototypical AC multi-sensor platform known as the Emotion Fusion Server (EFS) to be used in the thesis hypothesis AC experimentation phases of the research. The thesis research used the EFS platform to conduct a detailed series of AC experiments to investigate if the fusion of multiple sensory sources of affective data from sensory devices can significantly increase the accuracy of emotion prodiction by computationally intelligent means. The research involved conducted numerous controlled experiments along with the statistical analysis of the performance of sensors for the purposes of AC, the findings of which serve to assess the feasibility of AC in various domains and points to future directions for the AC field. The AC experiments data investigations conducted in relation to the thesis hypothesis used applied statistical methods and techniques, and the results, analytics and evaluations are presented throughout the two thesis research volumes. The thesis concludes by providing a detailed set of formal findings, conclusions and decisions in relation to the overarching research hypothesis on the sensitivity and specificity of the fusion of vision and wearable sensor modalities and offers foresight and guidance into the many problems, challenges and projections for the AC field in the future". Abstract. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
Human-computer interaction |
9 (RLIN) |
44651 |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
9 (RLIN) |
33722 |
Topical term or geographic name entry element |
Affect (Psychology) |
General subdivision |
Computer simulation |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
Emotions |
9 (RLIN) |
36784 |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
9 (RLIN) |
122300 |
Topical term or geographic name entry element |
Internet of things |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
9 (RLIN) |
125481 |
Topical term or geographic name entry element |
Wearable technology |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Source of classification or shelving scheme |
Dewey Decimal Classification |
-- |
|
-- |
CRON CRON |