Hot Thermal Discomfort-Related Action Recognition Model Validation in Outdoor Construction Environments
Publication: Construction Research Congress 2024
ABSTRACT
Hot thermal discomfort poses significant risks to construction workers in hot environments, necessitating effective measures to mitigate heat-related illnesses. This study validates the applicability of a thermal discomfort action recognition model in outdoor construction environments, addressing gaps in existing research. The methodology comprises four steps: data collection, model training, application, and evaluation. The data collection was implemented by the acquisition of video data depicting hot discomfort-related actions within indoor setting. Subsequently, this video dataset served as the foundation for training a thermal discomfort action recognition model using deep learning-based classifier. The model’s performance was rigorously evaluated in real-world outdoor scenarios, specifically in construction environments. Results indicate limited accuracy (0.5833) in predicting hot thermal discomfort-related actions outdoors, highlighting the need for further model refinement. However, a detailed analysis based on different angles and postures provides valuable insights for future improvement. The study emphasizes the importance of diverse datasets encompassing various angles and postures to develop a sophisticated model for accurately recognizing hot discomfort actions in outdoor construction environments. These findings will contribute to enhancing the existing hot thermal discomfort model’s accuracy when the model is applied to outdoor construction fields, ultimately improving worker safety and well-being.
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Information & Authors
Information
Published In
Construction Research Congress 2024
Pages: 179 - 185
History
Published online: Mar 18, 2024
ASCE Technical Topics:
- Business management
- Construction engineering
- Construction management
- Data collection
- Employment
- Engineering fundamentals
- Engineering mechanics
- Labor
- Methodology (by type)
- Model accuracy
- Models (by type)
- Occupational safety
- Personnel management
- Practice and Profession
- Public administration
- Public health and safety
- Research methods (by type)
- Safety
- Thermal analysis
- Thermodynamics
- Validation
Authors
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