000			04412nam a22003377a 4500
999			_c112500 _d112500
003			IE-CoIT
005			20231116062747.0
008			181016s2018 ie ||||| |||| 00| 0|eng||
040			_aIE-CoIT
082			_aTHESES PRESS
100	1		_9125475 _aKeary, Alphonsus _eauthor
245	1	0	_aAffective computing for emotion detection using vision and wearable sensors / _cAlphonsus Keary.
264		1	_aCork : _bCork Institute of Technology, _c2018.
300			_axxv, 490 pages : _billustratons (some color) _c30 cm + _e1 DVD
336			_atext _btxt _2rdacontent _3book
336			_atwo-dimensional moving image _btdi _2rdacontent _3DVD
337			_aunmediated _bn _2rdamedia _3book
337			_avideo _bv _2rdamedia _3DVD
338			_avolume _bnc _2rdacarrier _3book
338			_avideodisc _bvd _2rdacarrier _3DVD
490	0		_aPh.D - Computer science
502			_aThesis _b(Ph.D) - _cCork Institute of Technology, _d2018.
504			_aBibliography: (pages 430-489)
520	3		_a"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	_aHuman-computer interaction _944651
650		0	_933722 _aAffect (Psychology) _xComputer simulation
650		0	_aEmotions _936784
650		0	_9122300 _aInternet of things
650		0	_9125481 _aWearable technology
942			_2ddc _y _zCRON CRON