Design and accuracy research of wearable clothing for predicting pet emotions
Source abstract
Abstract
The issue of pet emotion and health management has become more and more concerned by pet owners and pet medical organizations. This paper takes medium-sized and short-haired dogs as the research object, firstly, through the questionnaire survey to clarify the physiological indicators for the establishment of this kind of emotional model; secondly, based on the above points, the overall design scheme of the smart dog clothing is specifically analyzed from the functional system and the emotions of the pet dog are clustered through the pet dog physiological data, and the emotional condition of the pet can be quantified by analyzing the relationship between the pet’s body temperature, heart rate and respiratory rate, and deriving the corresponding Emotional judgment index. The mutual integration of the clothing, hardware and software is realized, and the interactive effect of the clothing is realized through 3D design software; finally, the scientificity of the data and decision tree results, the functionality, comfort of the clothing is tested through experiments. The results show that the clothing can accurately analyze the changes of pet dog’s emotions under different living environments, further bridging the innovative needs of the new pet clothing market, providing reference and information for the design of pet smart clothing, and injecting new possibilities for building a harmonious human-pet society.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: 3D Shape Modeling and Analysis · Color perception and design · Human-Animal Interaction Studies
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Fashion, Wuhan Textile University, China
Wuhan Textile and Clothing Digital Engineering Technology Research Center, China
College of Textile Engineering, Taiyuan University of Technology, Jinzhong, China
References (28)
Show source-provided references
1. Zhengping L, Shanshan X. Research on the psychology and behavior of common pet dogs. China Work Dog Ind 2019; 03: 36–37.
2. 10.3390/e2205051110.3390/e22050511 ↗
3. Dejene BK. Wearable smart textiles for mood regulation: A critical review of emerging technologies and their psychological impacts. J Ind Text 2025; 55: 15280837251314190.10.1177/15280837251314190 ↗
4. 10.3390/electronics1210217910.3390/electronics12102179 ↗
5. 10.3390/electronics1115238710.3390/electronics11152387 ↗
6. 10.3390/eng601000910.3390/eng6010009 ↗
7. 10.1109/LRA.2022.314559010.1109/LRA.2022.3145590 ↗
8. 10.1109/ICSENS.2014.698547710.1109/ICSENS.2014.6985477 ↗
9. 10.1109/JSEN.2020.298615910.1109/JSEN.2020.2986159 ↗
10. Zhao C. Research on intelligent heart rate detection and emotion monitoring system based on internet of things. Sci-Tech & Dev Enterprises 2019; 1(01): 60–61.
11. Li H, Wu D, Yang CY, et al. Recognition of animal sound’s emotion based on Gaussian mixture model. Foreign Electr Measure Technol 2016; 35(11): 82–87.
12. Chae YJ, Hinestroza J. Building circular economy for smart textiles, smart clothing, and future wearables. materials circular economy. Sci Eng Sustain 2020; 2(31): 210–216.
13. 10.3390/electronics1105071610.3390/electronics11050716 ↗
14. 10.1093/milmed/usaf05910.1093/milmed/usaf059 ↗
15. Jin MX, Li H, Huang WR, et al. Research and development of intelligent night clothes for pet dogs based on LilyPad Arduino. Adv Text Technol 2021; 29(03): 65–70.
16. 10.1109/TTS.2022.320799110.1109/TTS.2022.3207991 ↗
17. Boonphadung S. Critical thinking development: A comparison between the efficiency of mixed technique and a series of mini-lecture, KWL/T-P-S and presentation. J Adv Humanit Soc Sci 2017; 3: 95.
18. Tjahjono KA, Damajanti MN, Renaningtyas L. Design of Pawstory Indonesia clothing brand to gain awareness of Bali local dogs: a detailed look of how clothing brand works as medium of social problem. INCOSHA 2023; 1: 7–12.
19. Datta DB, Seal P. Various approaches in pattern making for garment sector. J Text Eng Fash Technol 2018; 4: 29–34.
20. 10.1007/978-981-287-546-4_610.1007/978-981-287-546-4_6 ↗
21. Arango Toro J, Yepes Zuluaga SMM, Granada WFM. Measuring thoracic excursion using a wearable patch antenna. J Eng Fibers Fabr 2024; 19: 15589250241255986.
22. 10.3390/s1704087210.3390/s17040872 ↗
23. Abe CU, Mateus M, Bruno B, et al. MAX30102 photometric biosensor coupled to ESP32-Webserver capabilities for continuous point of care oxygen saturation and heartrate monitoring. Eng Proc 2021; 16(1): 9.
24. Li XG. Online learning behavior feature mining method based on K-means clustering algorithm. SoftwareX 2025; 46(01): 24–26.
25. Merck Veterinary Manual. Normal physiological values for dogs. Merck & Co., Inc, 2025.
26. 10.2478/amns.2021.1.0009910.2478/amns.2021.1.00099 ↗
27. Chen JC. The identification of textile fiber content has been implemented. J Text Appar 2014; 25: 82.
28. Tanaka T, Watanabe T, Eguchi Y, et al. Color discrimination in dogs. Anim Sci J 2000; 71(3): 300–304.