2022
DOI: 10.1242/jeb.243474
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Vocalization-associated respiration patterns: thermography-based monitoring and detection of preparation for calling

Abstract: Vocal emission requires coordination with the respiratory system. Monitoring the increase in laryngeal pressure, needed for vocal production, allows detection of transitions from quiet respiration to vocalization-supporting respiration. Characterization of these transitions could be used to identify preparation for vocal emission and to examine the probability of it manifesting into an actual vocal production event. Specifically, overlaying the subject's respiration with conspecific calls can highlight events … Show more

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Cited by 6 publications
(7 citation statements)
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“…These were chosen for their particularity of forming an arrow shape on the nose of the chimpanzee, making them easy to annotate. The nose area is also susceptible to changes when the subject is aroused [15] or breathing [16]. We began with these landmarks with the goal of extracting heart rate, breath rate, and arousal from their temperature changes over time.…”
Section: Dataset Annotationmentioning
confidence: 99%
See 1 more Smart Citation
“…These were chosen for their particularity of forming an arrow shape on the nose of the chimpanzee, making them easy to annotate. The nose area is also susceptible to changes when the subject is aroused [15] or breathing [16]. We began with these landmarks with the goal of extracting heart rate, breath rate, and arousal from their temperature changes over time.…”
Section: Dataset Annotationmentioning
confidence: 99%
“…Similarly, in [14], the temperature of the nose tip and forehead is observed to assess cognitive workload while driving. In nonhuman animals, the nose temperature is also observed for detecting arousal [15], breathing, and vocalization [16]. According to these studies, thermal imaging could provide deeper insights into the behavior and cognitive development of nonhuman animals.…”
Section: Introductionmentioning
confidence: 97%
“…Internal state variables such as body condition can be estimated directly from video frames in the case of video tracking [53]. High-resolution physiological data can be obtained from a quickly expanding array of non-invasive biologging tools [54,55], such as heart rate monitors [56,57] or thermal imaging [58][59][60], and may help infer stress levels, respiration rate or energetic state when coupled with behavioural data. Other approaches use both supervised and unsupervised machine learning methods to infer underlying internal state variables from high-resolution behavioural tracking data themselves [61][62][63][64].…”
Section: (A) Measurement Innovationsmentioning
confidence: 99%
“…Coordination can occur in multiple forms. Networks may express correlated changes in frequency or strength, as occurs in respiration to meet the demands of changing locomotor speeds, or at the onset of vocalizations (Anderson et al, 2016; Demartsev et al, 2022; Juvin et al, 2022; Ramirez and Baertsch, 2018). Coordination may also involve relative timing relationships, such as specific delays between movements of different body parts, or a regulated number of cycles of one behavior relative to another (Daley et al, 2013; Juvin et al, 2022; Mulloney and Smarandache-Wellmann, 2012; Wei et al, 2022).…”
Section: Introductionmentioning
confidence: 99%