From predictive analytics to emotional recognition–The evolving landscape of cognitive computing in animal welfare
This paper explores the fusion of data science and cognitive techniques in deciphering the behaviors and emotions of farm animals. The focus is on the strategic application of digital imaging and artificial intelligence to discern subtle behavioral patterns and micro-expressions in livestock, offeri...
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| Format: | Article |
| Language: | English |
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KeAi Communications Co., Ltd.
2024-01-01
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| Series: | International Journal of Cognitive Computing in Engineering |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S266630742400007X |
| _version_ | 1797277277756588032 |
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| author | Suresh Neethirajan |
| author_facet | Suresh Neethirajan |
| author_sort | Suresh Neethirajan |
| collection | DOAJ |
| description | This paper explores the fusion of data science and cognitive techniques in deciphering the behaviors and emotions of farm animals. The focus is on the strategic application of digital imaging and artificial intelligence to discern subtle behavioral patterns and micro-expressions in livestock, offering a predictive window into their emotional states. The significance of acoustic vocalization analysis in interpreting complex communicative signals and emotional subtleties is highlighted. The work extends to cognitive evaluations, such as mirror tests and bias assessments, revealing higher levels of self-awareness and cognitive abilities in farm animals than previously recognized. Emphasizing the need for a synergistic approach, the paper advocates for melding technological advancements with a deep understanding of animal psychology and behavior. This ensures that technology enhances rather than supplants traditional observational methods in animal welfare. The discussion delves into various methodologies and algorithms that measure cognition, underscoring the pivotal role of cognitive computing in advancing animal welfare. A cautious and informed application of these technologies is proposed, emphasizing their role in augmenting, not undermining, the essential human-animal bond. Ultimately, this critical review calls for an ethical, empathetic, and scientifically grounded integration of cognitive computing into animal welfare practices. |
| first_indexed | 2024-03-07T15:45:23Z |
| format | Article |
| id | doaj.art-4ae3401a82fc43a3b40a0ea25a136c17 |
| institution | Directory Open Access Journal |
| issn | 2666-3074 |
| language | English |
| last_indexed | 2024-03-07T15:45:23Z |
| publishDate | 2024-01-01 |
| publisher | KeAi Communications Co., Ltd. |
| record_format | Article |
| series | International Journal of Cognitive Computing in Engineering |
| spelling | doaj.art-4ae3401a82fc43a3b40a0ea25a136c172024-03-05T04:30:56ZengKeAi Communications Co., Ltd.International Journal of Cognitive Computing in Engineering2666-30742024-01-015123131From predictive analytics to emotional recognition–The evolving landscape of cognitive computing in animal welfareSuresh Neethirajan0Department of Animal Science and Aquaculture, Faculty of Agriculture and Faculty of Computer Science, Dalhousie University, Halifax, CanadaThis paper explores the fusion of data science and cognitive techniques in deciphering the behaviors and emotions of farm animals. The focus is on the strategic application of digital imaging and artificial intelligence to discern subtle behavioral patterns and micro-expressions in livestock, offering a predictive window into their emotional states. The significance of acoustic vocalization analysis in interpreting complex communicative signals and emotional subtleties is highlighted. The work extends to cognitive evaluations, such as mirror tests and bias assessments, revealing higher levels of self-awareness and cognitive abilities in farm animals than previously recognized. Emphasizing the need for a synergistic approach, the paper advocates for melding technological advancements with a deep understanding of animal psychology and behavior. This ensures that technology enhances rather than supplants traditional observational methods in animal welfare. The discussion delves into various methodologies and algorithms that measure cognition, underscoring the pivotal role of cognitive computing in advancing animal welfare. A cautious and informed application of these technologies is proposed, emphasizing their role in augmenting, not undermining, the essential human-animal bond. Ultimately, this critical review calls for an ethical, empathetic, and scientifically grounded integration of cognitive computing into animal welfare practices.http://www.sciencedirect.com/science/article/pii/S266630742400007XCognitive computingDigital imagingVocalization analysisAnimal self-awarenessBehavioral predictionsMicro-expressions |
| spellingShingle | Suresh Neethirajan From predictive analytics to emotional recognition–The evolving landscape of cognitive computing in animal welfare International Journal of Cognitive Computing in Engineering Cognitive computing Digital imaging Vocalization analysis Animal self-awareness Behavioral predictions Micro-expressions |
| title | From predictive analytics to emotional recognition–The evolving landscape of cognitive computing in animal welfare |
| title_full | From predictive analytics to emotional recognition–The evolving landscape of cognitive computing in animal welfare |
| title_fullStr | From predictive analytics to emotional recognition–The evolving landscape of cognitive computing in animal welfare |
| title_full_unstemmed | From predictive analytics to emotional recognition–The evolving landscape of cognitive computing in animal welfare |
| title_short | From predictive analytics to emotional recognition–The evolving landscape of cognitive computing in animal welfare |
| title_sort | from predictive analytics to emotional recognition the evolving landscape of cognitive computing in animal welfare |
| topic | Cognitive computing Digital imaging Vocalization analysis Animal self-awareness Behavioral predictions Micro-expressions |
| url | http://www.sciencedirect.com/science/article/pii/S266630742400007X |
| work_keys_str_mv | AT sureshneethirajan frompredictiveanalyticstoemotionalrecognitiontheevolvinglandscapeofcognitivecomputinginanimalwelfare |