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Kanghyeok Yang

The following bibliography contains all publications indexed in this database that are linked with this name as either author, editor or any other kind of contributor.

  1. Gong, Yue / Yang, Kanghyeok / Seo, JoonOh / Lee, Jin Gang (2022): Wearable acceleration-based action recognition for long-term and continuous activity analysis in construction site. In: Journal of Building Engineering, v. 52 (July 2022).

    https://doi.org/10.1016/j.jobe.2022.104448

  2. Lee, Hoonyong / Yang, Kanghyeok / Kim, Namgyun / Ahn, Changbum R. (2020): Detecting excessive load-carrying tasks using a deep learning network with a Gramian Angular Field. In: Automation in Construction, v. 120 (December 2020).

    https://doi.org/10.1016/j.autcon.2020.103390

  3. Ahn, Changbum R. / Lee, SangHyun / Sun, Cenfei / Jebelli, Houtan / Yang, Kanghyeok / Choi, Byungjoo (2019): Wearable Sensing Technology Applications in Construction Safety and Health. In: Journal of Construction Engineering and Management, v. 145, n. 11 (November 2019).

    https://doi.org/10.1061/(asce)co.1943-7862.0001708

  4. Yang, Kanghyeok / Ahn, Changbum R. / Kim, Hyunsoo (2019): Validating ambulatory gait assessment technique for hazard sensing in construction environments. In: Automation in Construction, v. 98 (February 2019).

    https://doi.org/10.1016/j.autcon.2018.09.017

  5. Yang, Kanghyeok / Ahn, Changbum R. / Vuran, Mehmet C. / Kim, Hyunsoo (2017): Collective sensing of workers' gait patterns to identify fall hazards in construction. In: Automation in Construction, v. 82 (October 2017).

    https://doi.org/10.1016/j.autcon.2017.04.010

  6. Yang, Kanghyeok / Ahn, Changbum R. / Vuran, Mehmet C. / Aria, Sepideh S. (2016): Semi-supervised near-miss fall detection for ironworkers with a wearable inertial measurement unit. In: Automation in Construction, v. 68 (August 2016).

    https://doi.org/10.1016/j.autcon.2016.04.007

  7. Kim, Hyunsoo / Ahn, Changbum R. / Yang, Kanghyeok (2017): Identifying Safety Hazards Using Collective Bodily Responses of Workers. In: Journal of Construction Engineering and Management, v. 143, n. 2 (February 2017).

    https://doi.org/10.1061/(asce)co.1943-7862.0001220

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