Faculty profile
Daeho Kim
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Research
Latest papers
3D human pose keypoints and corresponding joint angle calculation for vision-based WMSD risk assessments.
Ergonomics · 2026
Vision-Based Computing Pipeline for Recognizing Hand Grip-Types During Tool Handling.
IISE transactions on occupational ergonomics and human factors · 2025
Evaluation of the effect of particulate matter on construction accidents using relative probability.
Scientific reports · 2023 · senior author
Latest funding
- $65,010
Visual AI-driven Robotic Automation and Digital Management: Development, Demonstration, and Proof of Concept (PoC) on UofT's Construction Project Site.
NSERC · 2024 · Principal investigator
- $12,500
Development and Evaluation of Real-like Synthetic Construction Images to Enhance the Performances of Deep Neural Network for Construction Applications
NSERC · 2022 · Principal investigator
- $81,000
Development and Evaluation of Real-like Synthetic Construction Images to Enhance the Performances of Deep Neural Network for Construction Applications
NSERC · 2022 · Principal investigator
3 publications.
3D human pose keypoints and corresponding joint angle calculation for vision-based WMSD risk assessments.
Wen L, Kim D, Talreja V, Liu M, Penfield J, Barker R, Lee S
Vision-Based Computing Pipeline for Recognizing Hand Grip-Types During Tool Handling.
Baek F, Kim D, Penfield J, Barker R, Lee S
Evaluation of the effect of particulate matter on construction accidents using relative probability.
Lee M, Jeong J, Kim D
Visual AI-driven Robotic Automation and Digital Management: Development, Demonstration, and Proof of Concept (PoC) on UofT's Construction Project Site.
Principal investigators: Kim, Daeho DH
Keywords: autonomous mobile robot; construction automation; construction digitization; deep neural network; dnn training data; image synthetization; multimodal labeling; visual artificial intelligence; visual scene understanding
Development and Evaluation of Real-like Synthetic Construction Images to Enhance the Performances of Deep Neural Network for Construction Applications
Principal investigators: Kim, Daeho
Development and Evaluation of Real-like Synthetic Construction Images to Enhance the Performances of Deep Neural Network for Construction Applications
Principal investigators: Kim, Daeho
Keywords: deep neural network (dnn); computer vision; dnn models for construction robotics; lack of training images and overfitting; potential of non-real but real-looking construction images
From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.
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