Details
| Original language | English |
|---|---|
| Pages (from-to) | 2217-2226 |
| Number of pages | 10 |
| Journal | Proceedings of the Design Society |
| Volume | 4 |
| Publication status | Published - 16 May 2024 |
| Event | 2024 International Design Society Conference, Design 2024 - Cavtat, Dubrovnik, Croatia Duration: 20 May 2024 → 23 May 2024 |
Abstract
This paper introduces a method for analysing motion patterns that can be utilised to optimise data-driven systems. The aim is to use surveillance cameras and artificial intelligence to track multiple objects in a reliable manner, thereby preserving the authenticity of movement patterns for numerous and similar objects. In a case study, this method is applied to optimize lighting conditions in animal husbandry. Furthermore, this approach can be utilized not only in animal husbandry but also in other domains.
Keywords
- artificial intelligence (AI), big data analysis, design analysis, design methodology
ASJC Scopus subject areas
- Computer Science(all)
- Computer Graphics and Computer-Aided Design
- Computer Science(all)
- Computer Science Applications
- Computer Science(all)
- Software
- Mathematics(all)
- Modelling and Simulation
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In: Proceedings of the Design Society, Vol. 4, 16.05.2024, p. 2217-2226.
Research output: Contribution to journal › Conference article › Research › peer review
}
TY - JOUR
T1 - Automatic movement pattern analysis for data-driven system optimisation
T2 - 2024 International Design Society Conference, Design 2024
AU - Raveendran, Gurubaran
AU - Meyer zu Westerhausen, Sören
AU - Wurst, Johanna
AU - Lachmayer, Roland
N1 - Publisher Copyright: © 2024 Proceedings of the Design Society. All rights reserved.
PY - 2024/5/16
Y1 - 2024/5/16
N2 - This paper introduces a method for analysing motion patterns that can be utilised to optimise data-driven systems. The aim is to use surveillance cameras and artificial intelligence to track multiple objects in a reliable manner, thereby preserving the authenticity of movement patterns for numerous and similar objects. In a case study, this method is applied to optimize lighting conditions in animal husbandry. Furthermore, this approach can be utilized not only in animal husbandry but also in other domains.
AB - This paper introduces a method for analysing motion patterns that can be utilised to optimise data-driven systems. The aim is to use surveillance cameras and artificial intelligence to track multiple objects in a reliable manner, thereby preserving the authenticity of movement patterns for numerous and similar objects. In a case study, this method is applied to optimize lighting conditions in animal husbandry. Furthermore, this approach can be utilized not only in animal husbandry but also in other domains.
KW - artificial intelligence (AI)
KW - big data analysis
KW - design analysis
KW - design methodology
UR - http://www.scopus.com/inward/record.url?scp=85194097373&partnerID=8YFLogxK
U2 - 10.1017/pds.2024.224
DO - 10.1017/pds.2024.224
M3 - Conference article
AN - SCOPUS:85194097373
VL - 4
SP - 2217
EP - 2226
JO - Proceedings of the Design Society
JF - Proceedings of the Design Society
SN - 2732-527X
Y2 - 20 May 2024 through 23 May 2024
ER -