Body expressions of emotions: does animals have it?

Machado, Marcelo Augusto da Silva; Silva, Iran J. O. da

doi:10.31893/jabb.20001

Cited by 5 publications

(4 citation statements)

References 35 publications

(55 reference statements)

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“…Although animals cannot express emotions in the same way as humans, using language, they nevertheless communicate their affective state via alternative means, including vocalizations [8,11], body and tail movements [12,13], facial expression [14][15][16][17] (including movements of ears, lips or eyes) [9,16,18], body posture, which is somewhat different from body movements, hair and or feather movements (e.g., piloerection in some mammals and raising or lowering the feathers in the crests of some birds) [19]. In addition to these behavioural signals, animal affective states are associated with changes in physiological parameters, such as heart rate [18][19][20][21], respiratory rate [21,22], and the temperature of the whole or parts of the body [23][24][25].…”

Section: Quantified Animal Welfare-a Perception or A Reality?mentioning

confidence: 99%

Affective State Recognition in Livestock—Artificial Intelligence Approaches

Neethirajan¹

2022

Animals

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Farm animals, numbering over 70 billion worldwide, are increasingly managed in large-scale, intensive farms. With both public awareness and scientific evidence growing that farm animals experience suffering, as well as affective states such as fear, frustration and distress, there is an urgent need to develop efficient and accurate methods for monitoring their welfare. At present, there are not scientifically validated ‘benchmarks’ for quantifying transient emotional (affective) states in farm animals, and no established measures of good welfare, only indicators of poor welfare, such as injury, pain and fear. Conventional approaches to monitoring livestock welfare are time-consuming, interrupt farming processes and involve subjective judgments. Biometric sensor data enabled by artificial intelligence is an emerging smart solution to unobtrusively monitoring livestock, but its potential for quantifying affective states and ground-breaking solutions in their application are yet to be realized. This review provides innovative methods for collecting big data on farm animal emotions, which can be used to train artificial intelligence models to classify, quantify and predict affective states in individual pigs and cows. Extending this to the group level, social network analysis can be applied to model emotional dynamics and contagion among animals. Finally, ‘digital twins’ of animals capable of simulating and predicting their affective states and behaviour in real time are a near-term possibility.

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Section: Quantified Animal Welfare-a Perception or A Reality?mentioning

confidence: 99%

Affective State Recognition in Livestock—Artificial Intelligence Approaches

Neethirajan¹

2022

Animals

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“…Given it is through behaviour that animals directly interact with their environment, it is this component upon which selection most directly operates (Kremer et al 2020). In an applied setting, behaviour can provide a directly observable indication of an animal's current emotional state (Machado and da Silva 2020).…”

Section: Behavioural Indicatorsmentioning

confidence: 99%

Mason et al Preprint_Goat Emotions, Cognition and Personality

Mason,

Briefer,

Semple

et al. 2024

Preprint

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Positive welfare is a relatively modern concept based on the idea that on the whole, an animal’s positive experiences should outweigh their negative ones. Intuitively, we therefore require indicators to measure when animals are experiencing positive and negative emotional states, as well as providing opportunities for animals to create positive experiences. Goats typically live rich social and emotional lives, are naturally inquisitive, and seek cognitive challenges, highlighting the importance of a complex and cognitively stimulating environment for their welfare. However, all goats are different, underlining the shortcomings of a ‘one size fits all’ approach to provide the best welfare for each individual. In sum, to achieve positive welfare in goats we must have a means to monitor their emotional experiences, understand their cognitive abilities and provide sufficient opportunities to apply these and ensure welfare measures are tailored at an individual-level. This chapter will therefore focus on potential behavioural, physiological and cognitive indicators used to measure goat emotional states in the short- and long-term; their cognitive abilities in the physical and social domains; and the effect of personality on how goats interact with their social environment and on their cognitive abilities.

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“…De acordo com Machado & Silva (2020), a cauda dos cães e mais, especificamente, o seu posicionamento pode revelar muito sobre as suas emoções. Por exemplo, ao visualizar seu dono, geralmente o cão movimenta a cauda com grande amplitude e para direita.…”

Section: Emoções Sentimentos E Sofrimento Em Cães E Gatosunclassified

Senciência em cães e gatos: Revisão

Pont¹,

Neto²,

Negrão³

et al. 2022

Pubvet

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A senciência é a capacidade que um indivíduo possui de sentir emoções positivas e negativas e de manifestar sentimentos de forma consciente. A literatura confirma, cientificamente, que além dos seres humanos, animais vertebrados e alguns invertebrados, possuem substratos neuronais de consciência. Nesse sentido, cães e gatos manifestam em suas características comportamentais e mentais, indicativos que os levam a serem considerados seres sencientes. Sendo assim, este estudo teve como objetivo realizar uma revisão bibliográfica dos últimos 15 anos sobre a senciência, aplicado especificamente à cães e gatos. Durante o desenvolvimento da pesquisa tornou-se evidente que cães e gatos são seres sencientes, pois os mesmos demonstram através de linguagem corporal, tais como expressões físicas, visuais, de vocalização, bem como por meio da fisiologia neurológica, que possuem capacidade mental de sentir dor e de sofrer.

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Body expressions of emotions: does animals have it?

Cited by 5 publications

References 35 publications

Affective State Recognition in Livestock—Artificial Intelligence Approaches

Affective State Recognition in Livestock—Artificial Intelligence Approaches

Mason et al Preprint_Goat Emotions, Cognition and Personality

Senciência em cães e gatos: Revisão

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