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Changbum R. Ahn
Researcher at Texas A&M University
Publications - 121
Citations - 2589
Changbum R. Ahn is an academic researcher from Texas A&M University. The author has contributed to research in topics: Computer science & Construction management. The author has an hindex of 24, co-authored 105 publications receiving 1675 citations. Previous affiliations of Changbum R. Ahn include University of Illinois at Urbana–Champaign & Durham University.
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Semi-supervised near-miss fall detection for ironworkers with a wearable inertial measurement unit
TL;DR: A semi-supervised learning algorithm (i.e., one-class support vector machine) was implemented for detecting the near-miss falls in this article, and two experiments were conducted for collecting the near miss falls of ironworkers, and these data were used to test developed near miss fall detection approach.
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Construction worker's awkward posture recognition through supervised motion tensor decomposition
TL;DR: The results indicate the proposed approach is able to provide sufficient recognition accuracy with less computation power and memory and the idea of tensorization and tensor decomposition is extendable to other studies in the construction industry.
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Impact assessment of reinforced learning methods on construction workers' fall risk behavior using virtual reality
TL;DR: In this article, a human-subject experiment was conducted to investigate people's social learning behaviors in a hazardous construction situation, where participants were randomly assigned to one of three groups: control group, not-falling group, and falling group (participants watched an avatar quickly walking across a plank and falling off).
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Wearable Sensing Technology Applications in Construction Safety and Health
TL;DR: The advent of wearable sensing technologies has produced unprecedented opportunities for the near real-time collection and analysis of workers' safety and health data as mentioned in this paper, and the authors of this paper aim to encourage the proa...
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Fall risk analysis of construction workers using inertial measurement units: validating the usefulness of the postural stability metrics in construction
TL;DR: In this paper, the authors used the velocity of the bodily center of pressure (COPv) and the resultant accelerometer (rAcc) as predictors with which to measure workers' fall risk in stationary postures.