• Refine your search:
  • 
    Keyword:
    
    • 2004 Linguistics (2)
    • 0801 Artificial Intelligence and Image Processing (1)
    • 0806 Information Systems (1)
    • 1702 Cognitive Science (1)
    • 200400 Linguistics (1)
    • Article (1)
    • Artificial intelligenc (1)
    • Cross validation (1)
    • Data sets (1)
    • Gender classification (1)
    •   more
  • 
    Creator / Publisher:
    
    • Goecke, Roland (8)
    • Wagner, Michael (8)
    • Alghowinem, Sharifa (5)
    • Ambikairajah, Eliathamby (3)
    • Arciuli, Joanne (3)
    • Bennamoun, Mohammed (3)
    • Bird, Steven (3)
    • Chetty, Girija (3)
    • Cutler, Anne (3)
    • Dale, Robert (3)
    •   more
  • 
    Year
  • 
    Medium
  • 
    Type
  • 
    BLLDB-Access

Search in the Catalogues and Directories

All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 8 of 8 1 Evaluating and Validating Emotion Elicitation Using English and Arabic Movie Clips on a Saudi Sample Alghowinem, Sharifa; Goecke, Roland; Wagner, Michael; Alwabil, Areej. - : MDPI, 2019 Abstract: With the advancement of technology in both hardware and software, estimating human affective states has become possible. Currently, movie clips are used as they are a widely-accepted method of eliciting emotions in a replicable way. However, cultural differences might influence the effectiveness of some video clips to elicit the target emotions. In this paper, we describe several sensors and techniques to measure, validate and investigate the relationship between cultural acceptance and eliciting universal expressions of affect using movie clips. For emotion elicitation, a standardised list of English language clips, as well as an initial set of Arabic video clips are used for comparison. For validation, bio-signal devices to measure physiological and behavioural responses associated with emotional stimuli are used. Physiological and behavioural responses are measured from 29 subjects of Arabic background while watching the selected clips. For the six emotions’ classification, a multiclass SVM (six-class) classifier using the physiological and behavioural measures as input results in a higher recognition rate for elicited emotions from Arabic video clips (avg. 60%) compared to the English video clips (avg. 52%). These results might reflect that using video clips from the subjects’ culture is more likely to elicit the target emotions. Besides measuring the physiological and behavioural responses, an online survey was carried out to evaluate the effectiveness of the selected video clips in eliciting the target emotions. The online survey, having on average 220 respondents for each clip, supported the findings. Keyword: Article URL: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6567364/ https://doi.org/10.3390/s19102218 http://www.ncbi.nlm.nih.gov/pubmed/31091686 BASE Hide details 2 From joyous to clinically depressed: Mood detection using spontaneous speech Alghowinem, Sharifa; Goecke, Roland; Wagner, Michael... In: Proceedings of the 25th International Florida Artificial Intelligence Research Society Conference, FLAIRS-25 (2015) BASE Show details 3 From joyous to clinically depressed: Mood detection using spontaneous speech Alghowinem, Sharifa; Goecke, Roland; Wagner, Michael... In: Proceedings of the 25th International Florida Artificial Intelligence Research Society Conference, FLAIRS-25 (2015) BASE Show details 4 Design of an emotion elicitation framework for Arabic speakers Alghowinem, Sharifa; Alghuwinem, Sarah; AlShehri, Majdah... In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2015) BASE Show details 5 Design of an emotion elicitation framework for Arabic speakers Alghowinem, Sharifa; Alghuwinem, Sarah; AlShehri, Majdah... In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2015) BASE Show details 6 The Big Australian Speech Corpus (The Big ASC) Chetty, Girija; Cassidy, Stephen; Butcher, Andrew Richard. - : Causal Productions, 2010 BASE Show details 7 A Blueprint for a comprehensive Australian English auditory-visual speech corpus Burnham, Denis; Ambikairajah, Eliathamby; Cutler, Anne. - : Somerville, MA : Cascadilla Proceedings Project, 2009 BASE Show details 8 A blueprint for a comprehensive Australian English auditory-visual speech corpus Ishihara, Shunichi; Fletcher, Janet Mary; Kemp, Nenagh. - : Cascadilla Proceedings Project, 2009 BASE Show details

Mobile view All Catalogues UB Frankfurt Linguistik 0 IDS Mannheim 0 OLC Linguistik 0 UB Frankfurt Retrokatalog 0 DNB Subject Category Language 0 Institut für Empirische Sprachwissenschaft 0 Leibniz-Centre General Linguistics (ZAS) 0 Bibliographies BLLDB 0 BDSL 0 IDS Bibliografie zur deutschen Grammatik 0 IDS Bibliografie zur Gesprächsforschung 0 IDS Konnektoren im Deutschen 0 IDS Präpositionen im Deutschen 0 IDS OBELEX meta 0 MPI-SHH Linguistics Collection 0 MPI for Psycholinguistics 0 Linked Open Data catalogues Annohub 0 Online resources Link directory 0 Journal directory 0 Database directory 0 Dictionary directory 0 Open access documents BASE 8 Linguistik-Repository 0 IDS Publikationsserver 0 Online dissertations 0 Language Description Heritage 0