Prototyping a mobile app which detects dogs’ emotions based on their body posture: a design science approach

Alina Hafner, Thomas M. Oliver, Benjamin B. Paßberger and Peter A. Gloor

Chapter 17 in Handbook of Social Computing, 2024, pp 310-328 from Edward Elgar Publishing

Abstract: The automated analysis of animal emotions is of interest for a variety of purposes. It may be necessary, for example, for animal therapy to be able to classify and categorize emotions as they arise. Therefore a fast mobile solution is required. Hence, this chapter is about detecting the emotions of dogs based on their body posture. Additionally, a reliably labelled training dataset is required. We use and extend an existing dataset of dog images in the emotional states Anger, Fear, Happiness, and Relaxation. Additional images are collected in a crowdsourcing approach by joining dog-friendly social networks (online and in real life) to benefit on the one hand from their pictures and on the other hand from their collective intelligence. This dataset served as input for various machine learning models- commercial ones and a self-built model- used to predict the aforementioned emotions of dogs. In doing so, this chapter follows the design science research process resulting in an implementation of the app.

Keywords: Business and Management; Innovations and Technology; Sociology and Social Policy (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.elgaronline.com/doi/10.4337/9781803921259.00028 (application/pdf)
Our link check indicates that this URL is bad, the error code is: 503 Service Temporarily Unavailable

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:elg:eechap:21469_17

Ordering information: This item can be ordered from
http://www.e-elgar.com

Access Statistics for this chapter

More chapters in Chapters from Edward Elgar Publishing
Bibliographic data for series maintained by Darrel McCalla ().