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Productivity Measurement through IMU-Based Detailed Activity Recognition Using Machine Learning: A Case Study of

Sungkook Hong1, Youngjib Ham2, Jaeyoul Chun1

  • 1Department of Architectural Engineering, Dankook University, 152 Jukjeon-ro, Suji-gu, Yongin-si 16890, Gyeonggi-do, Republic of Korea.

Sensors (Basel, Switzerland)
|September 9, 2023
PubMed

Keywords:
convolutional neural network (CNN)detailed activity classificationinertial measurement unit (IMU)long short-term memory (LSTM)masonryschedule management

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