Skip to main content
SpringerLink
Log in

A System for Animal Health Monitoring and Emotions Detection

  • Conference paper
  • First Online:
Progress in Artificial Intelligence (EPIA 2023)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 14115))

Included in the following conference series:

  • 392 Accesses

Abstract

We are used to seeing the manifestations of various emotions in humans, but animals also show emotions. A better understanding of animal emotions is closely related to creating animal welfare. Research in this direction may impact other ways to improve the lives of domestic and farm animals or animals in captivity. In addition, better recognition of negative emotions in animals can help prevent unwanted behaviour and health problems caused by long-term increased levels of stress or other negative emotional states. Research projects focused on the emotional needs of animals can benefit animals and contribute to a more ethical and sustainable relationship between humans and animals.This article is focused on the one hand on the description of the system that was created in the previous related research for monitoring the vital functions of animals, and on the other hand, especially on the investigation of the possibilities of how the given system can be used to identify the emotional states of animals.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 59.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 79.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Aguirre, E., Lopez-Iturri, P., Azpilicueta, L., Astrain, J.J., Villadangos, J., Santesteban, D., Falcone, F.: Implementation and analysis of a wireless sensor network-based pet location monitoring system for domestic scenarios. Sensors 16(9), 1384 (2016)

    Google Scholar 

  2. Bekoff, M.: Animal emotions: exploring passionate natures. Bioscience 50(10), 861–870 (2000)

    Article  Google Scholar 

  3. Berridge, K.C.: Evolving concepts of emotion and motivation. Front. Psychol. 1647 (2018)

    Google Scholar 

  4. Bliss-Moreau, E., Rudebeck, P.H.: Animal models of human mood. Neurosci. Biobehav. Rev. 120, 574–582 (2021)

    Article  Google Scholar 

  5. Cheng, Y.H.: A development architecture for the intelligent animal care and management system based on the internet of things and artificial intelligence. In: 2019 International Conference on Artificial Intelligence in Information and Communication (ICAIIC), pp. 078–081. IEEE (2019)

    Google Scholar 

  6. Cimr, D., Studnička, F.: Automatic detection of breathing disorder from ballistocardiography signals. Knowl.-Based Syst. 188, 104973 (2020)

    Google Scholar 

  7. Devi, N.R., Suganya, T., Vignesh, S., Rathish, R.J., Nguyen, T.A., Rajendran, S.: Animal health monitoring using nanosensor networks. In: Nanosensors for Smart Agriculture, pp. 573–608. Elsevier (2022)

    Google Scholar 

  8. Feighelstein, M.G.: Towards automatic recognition of emotional states of animals. In: Eight International Conference on Animal-Computer Interaction, pp. 1–4 (2021)

    Google Scholar 

  9. Franzoni, V., Milani, A., Biondi, G., Micheli, F.: A preliminary work on dog emotion recognition. In: IEEE/WIC/ACM International Conference on Web Intelligence-Companion Volume, pp. 91–96 (2019)

    Google Scholar 

  10. Fujii, T., Nakano, M., Yamashita, K., Konishi, T., Izumi, S., Kawaguchi, H., Yoshimoto, M.: Noise-tolerant instantaneous heart rate and r-peak detection using short-term autocorrelation for wearable healthcare systems. 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (2013)

    Google Scholar 

  11. Gameil, M., Gaber, T.: Wireless sensor networks-based solutions for cattle health monitoring: a survey. In: Proceedings of the international conference on advanced intelligent systems and informatics 2019, pp. 779–788. Springer (2020)

    Google Scholar 

  12. Hachenberger, J., Li, Y.M., Siniatchkin, M., Hermenau, K., Ludyga, S., Lemola, S.: Heart rate variability’s association with positive and negative affect in daily life: an experience sampling study with continuous daytime electrocardiography over seven days. Sensors 23(2), 966 (2023)

    Google Scholar 

  13. Hernández-Luquin, F., Escalante, H.J., Villaseñor-Pineda, L., Reyes-Meza, V., Villaseñor-Pineda, L., Pérez-Espinosa, H., Reyes-Meza, V., Escalante, H.J., Gutierrez-Serafín, B.: Dog emotion recognition from images in the wild: Debiw dataset and first results. In: Proceedings of the Ninth International Conference on Animal-Computer Interaction, pp. 1–13 (2022)

    Google Scholar 

  14. Holderith, M., Schanze, T.: Cross-correlation based comparison between the conventional 12-lead ECG and an EASI derived 12-lead ECG. Curr. Direct. Biomed. Eng. 4(1), 621–624 (2018)

    Article  Google Scholar 

  15. Jukan, A., Masip-Bruin, X., Amla, N.: Smart computing and sensing technologies for animal welfare: a systematic review. ACM Comput. Surv. (CSUR) 50(1), 1–27 (2017)

    Article  Google Scholar 

  16. Karthick, G., Sridhar, M., Pankajavalli, P.: Internet of things in animal healthcare (iotah): review of recent advancements in architecture, sensing technologies and real-time monitoring. SN Comput. Sci. 1, 1–16 (2020)

    Article  Google Scholar 

  17. Katemboh, E.M., Abdulla, R., Jayapal, V., Selvaperumal, S.K., Ratnadurai, D.: Integrated animal health care using IoT. Int. J. Adv. Sci. Technol. 29(1), 42–56 (2020)

    Google Scholar 

  18. Keertana, P., Vanathi, B., Shanmugam, K.: A survey on various animal health monitoring and tracking techniques. Int. Res. J. Eng. Technol. 4(2), 533–536 (2017)

    Google Scholar 

  19. Kok, B.E., Coffey, K.A., Cohn, M.A., Catalino, L.I., Vacharkulksemsuk, T., Algoe, S.B., Brantley, M., Fredrickson, B.L.: How positive emotions build physical health: perceived positive social connections account for the upward spiral between positive emotions and vagal tone. Psychol. Sci. 24(7), 1123–1132 (2013)

    Article  Google Scholar 

  20. Kremer, L., Holkenborg, S.K., Reimert, I., Bolhuis, J., Webb, L.: The nuts and bolts of animal emotion. Neurosci. Biobehav. Rev. 113, 273–286 (2020)

    Article  Google Scholar 

  21. Kwiatkowska-Stenzel, A., Sowińska, J., Witkowska, D.: The effect of different bedding materials used in stable on horses behavior. J. Equine Vet. 42, 57–66 (2016)

    Article  Google Scholar 

  22. Mendl, M., Neville, V., Paul, E.S.: Bridging the gap: human emotions and animal emotions. Affect. Sci. 3(4), 703–712 (2022)

    Article  Google Scholar 

  23. Morozov, A., Parr, L.A., Gothard, K., Paz, R., Pryluk, R.: Automatic recognition of macaque facial expressions for detection of affective states. Eneuro 8(6) (2021)

    Google Scholar 

  24. Neethirajan, S.: Affective state recognition in livestock-artificial intelligence approaches. Animals 12(6), 759 (2022)

    Google Scholar 

  25. Paul, E.S., Mendl, M.T.: Animal emotion: descriptive and prescriptive definitions and their implications for a comparative perspective. Appl. Anim. Behav. Sci. 205, 202–209 (2018)

    Article  Google Scholar 

  26. Paul, E.S., Sher, S., Tamietto, M., Winkielman, P., Mendl, M.T.: Towards a comparative science of emotion: affect and consciousness in humans and animals. Neurosci. Biobehav. Rev. 108, 749–770 (2020)

    Article  Google Scholar 

  27. Sec, D., Matyska, J., Klimova, B., Cimler, R., Kuhnova, J., Studnicka, F.: System for detailed monitoring of dog’s vital functions. In: Computational Collective Intelligence: 10th International Conference, ICCCI 2018, Bristol, UK, September 5–7, 2018, Proceedings, Part I 10, pp. 426–435. Springer (2018)

    Google Scholar 

Download references

Acknowledgements

The research has been partially supported by the Faculty of Informatics and Management UHK specific research project 2107 Integration of Departmental Research Activities and Students’ Research Activities Support III. The authors also thank Patrik Urbanik, a doctoral student, for his help in preparing the manuscript.

Author information

Authors and Affiliations

  1. Faculty of Informatics and Management, University of Hradec Kralove, Hradec Kralove, Czechia

    David Sec & Peter Mikulecky

Authors
  1. David Sec
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Peter Mikulecky
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to David Sec .

Editor information

Editors and Affiliations

  1. Lucy Family Institute for Data & Society, Notre Dame, IN, USA

    Nuno Moniz

  2. GECAD, Polytechnic of Porto, Porto, Portugal

    Zita Vale

  3. GRIA - LIACC, University of Azores, Ponta-Delgada, Portugal

    José Cascalho

  4. CISUC, University of Coimbra, Coimbra, Portugal

    Catarina Silva

  5. IEETA, University of Aveiro, Aveiro, Portugal

    Raquel Sebastião

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Sec, D., Mikulecky, P. (2023). A System for Animal Health Monitoring and Emotions Detection. In: Moniz, N., Vale, Z., Cascalho, J., Silva, C., Sebastião, R. (eds) Progress in Artificial Intelligence. EPIA 2023. Lecture Notes in Computer Science(), vol 14115. Springer, Cham. https://doi.org/10.1007/978-3-031-49008-8_4

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-49008-8_4

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-49007-1

  • Online ISBN: 978-3-031-49008-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation