Acoustic camera system for measuring ultrasound communication in mice

Matsumoto, Jumpei; Kanno, Kouta; Kato, Masahiro; Nishimaru, Hiroshi; Setogawa, Tsuyoshi; Chinzorig, Choijiljav; Shibata, Tomohiro; Nishijo, Hisao

doi:10.1016/j.isci.2022.104812

Cited by 16 publications

(8 citation statements)

References 35 publications

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“…Additionally, in the last years acoustic cameras became more affordable. Acoustic cameras are able to visualize the sound location within the video recordings 62 , 63 . Thus, it allowed the monitoring of the behavior and sound location at the same time in the same video file for several pens.…”

Section: Discussionmentioning

confidence: 99%

Detecting tail biters by monitoring pig screams in weaning pigs

Heseker,

Bergmann,

Scheumann

et al. 2024

Sci Rep

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Early identification of tail biting and intervention are necessary to reduce tail lesions and their impact on animal health and welfare. Removal of biters has become an effective intervention strategy, but finding them can be difficult and time-consuming. The aim of this study was to investigate whether tail biting and, in particular, individual biters could be identified by detecting pig screams in audio recordings. The study included 288 undocked weaner pigs housed in six pens in two batches. Once a tail biter (n = 7) was identified by visual inspection in the stable and removed by the farm staff, the previous days of video and audio recordings were analyzed for pig screams (sudden increase in loudness with frequencies above 1 kHz) and tail biting events until no biting before the removal was observed anymore. In total, 2893 screams were detected in four pens where tail biting occurred. Of these screams, 52.9% were caused by tail biting in the observed pen, 25.6% originated from other pens, 8.8% were not assignable, and 12.7% occurred due to other reasons. In case of a tail biting event, screams were assigned individually to biter and victim pigs. Based on the audio analysis, biters were identified between one and nine days prior to their removal from the pen after visual inspection. Screams were detected earlier than the increase in hanging tails and could therefore be favored as an early warning indicator. Analyzing animal vocalization has potential for monitoring and early detection of tail biting events. In combination with individual marks and automatic analysis algorithms, biters could be identified and tail biting efficiently reduced. In this way, biters can be removed earlier to increase animal health and welfare.

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Section: Discussionmentioning

confidence: 99%

Detecting tail biters by monitoring pig screams in weaning pigs

Heseker,

Bergmann,

Scheumann

et al. 2024

Sci Rep

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“…Thus, all of our data reflect behaviour of dyads as opposed to specific individuals. But recent technical developments (69,70) may allow us to overcome this drawback in future studies of R. pumilio . Another recent development with this species is the assembly of a high-quality reference genome (71) of this wild mouse species.…”

Section: Discussionmentioning

confidence: 99%

A cooperatively breeding mouse shows flexible use of its vocal repertoire according to social context

Perrier,

de Witasse-Thézy,

Pradeau

et al. 2024

Preprint

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Mice exchange information using chemical, visual and acoustic signals. Long ignored, mouse ultrasonic communication is now considered to be an important aspect of their social life, transferring information such as individual identity or stress levels. However, whether and how mice modulate their acoustic communications is largely unknown. Here we show that a wild mouse species with a complex social system controls its vocal production both qualitatively and quantitatively, depending on social context. We found that the African striped mouse Rhabdomys pumilio, a cooperatively breeding species, has a vocal repertoire consisting of seven call types, which it uses differently depending on whether the individuals encounter another mouse that is familiar, unfamiliar, of the same or different sex. Familiar individuals, whether of the same or different sex, vocalize more than two unfamiliar same-sex individuals. The greatest diversity of vocalisations is recorded when a female and a male first encounter, suggesting that certain calls are reserved for courtship. Our results highlight that familiar mice alternate their vocalisations (turn-taking) while unfamiliar individuals tend to overlap one another. These observations suggest that African striped mice control the production and temporal dynamics of their vocalisations, addressing targeted information to specific receivers via the acoustic channel.

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“…With the increase in scientists using behaviors in the analysis of disease models of animals ( Arai et al, 2021 , 2022 ; Arakawa, 2021 ; Matsumoto et al, 2022 ), there is a need for automated video analysis systems. This research presents the first system for automatically classifying WDS behavior in rats, a behavior relevant to the study of numerous animal disease models.…”

Section: Discussionmentioning

confidence: 99%

Multi-view image-based behavior classification of wet-dog shake in Kainate rat model

Negrete

Arai

Natsume

et al. 2023

Front. Behav. Neurosci.

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The wet-dog shake behavior (WDS) is a short-duration behavior relevant to the study of various animal disease models, including acute seizures, morphine abstinence, and nicotine withdrawal. However, no animal behavior detection system has included WDS. In this work, we present a multi-view animal behavior detection system based on image classification and use it to detect rats’ WDS behavior. Our system uses a novel time-multi-view fusion scheme that does not rely on artificial features (feature engineering) and is flexible to adapt to other animals and behaviors. It can use one or more views for higher accuracy. We tested our framework to classify WDS behavior in rats and compared the results using different amounts of cameras. Our results show that the use of additional views increases the performance of WDS behavioral classification. With three cameras, we achieved a precision of 0.91 and a recall of 0.86. Our multi-view animal behavior detection system represents the first system capable of detecting WDS and has potential applications in various animal disease models.

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Acoustic camera system for measuring ultrasound communication in mice

Cited by 16 publications

References 35 publications

Detecting tail biters by monitoring pig screams in weaning pigs

Detecting tail biters by monitoring pig screams in weaning pigs

A cooperatively breeding mouse shows flexible use of its vocal repertoire according to social context

Multi-view image-based behavior classification of wet-dog shake in Kainate rat model

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