Proceedings of the International Conference on Sustainable Innovation with Artificial Intelligence and Machine Learning 2025 (ICSIAIML 2025)

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Smart Dog Health Tracker Using IoT and Machine Learning with Emotional Design Integration

Authors
Yashashree Sonawane1, Prajwal Nivangune1, Omkar Toradmal1, Suhasini Deshmukh1, Prathamesh Sonwalkar1, Ashwini Sengar1, *
1Department of Science and Technology, Vishwakarma University, Pune, India
*Corresponding author. Email: ashwini.sengar@vupune.ac.in
Corresponding Author
Ashwini Sengar
Available Online 6 January 2026.
DOI
10.2991/978-94-6463-948-3_6How to use a DOI?
Abstract

The Smart Dog Health Tracker is a remote monitoring solution that combines IoT hardware with AI to continuously supervise the health status of dogs. This is enabled through an ESP32 microcontroller with biomedical and environmental sensors, measuring SpO₂, temperature, motion, and location. Sensor data will be securely sent to a cloud service where ML models, such as Decision Trees, Random Forest, and Support Vector Machines, grade the condition of a dog as either normal, warning, or critical. Unlike mainstream gadgets in the pet market, this will be software-centric with a connected ecosystem in mind, featuring predictive analytics, a mobile interface, and a web dashboard that provides live updates, GPS tracking, historical records, and timely alerts. This paper integrates the Emotional Design Theory into the device and applications, allowing users to develop greater trust and engagement with more visually attractive graphics, easy navigation, and personalized health insight. User testing revealed high sensor accuracy of ±2%, fast alert responsiveness of less than 1.5 seconds, and reliable classification performance of up to 94%. The technical capabilities in the system merge with emotional appeal, offering a proactive, user-friendly approach toward veterinary IoT.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Sustainable Innovation with Artificial Intelligence and Machine Learning 2025 (ICSIAIML 2025)
Series
Advances in Intelligent Systems Research
Publication Date
6 January 2026
ISBN
978-94-6463-948-3
ISSN
1951-6851
DOI
10.2991/978-94-6463-948-3_6How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Yashashree Sonawane
AU  - Prajwal Nivangune
AU  - Omkar Toradmal
AU  - Suhasini Deshmukh
AU  - Prathamesh Sonwalkar
AU  - Ashwini Sengar
PY  - 2026
DA  - 2026/01/06
TI  - Smart Dog Health Tracker Using IoT and Machine Learning with Emotional Design Integration
BT  - Proceedings of the International Conference on Sustainable Innovation with Artificial Intelligence and Machine Learning 2025 (ICSIAIML 2025)
PB  - Atlantis Press
SP  - 71
EP  - 82
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-948-3_6
DO  - 10.2991/978-94-6463-948-3_6
ID  - Sonawane2026
ER  -