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

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

Although measuring worker productivity is crucial, the measurement of the productivity of each worker is challenging due to their dispersion across various construction jobsites. This paper presents a framework for measuring productivity based on an inertial measurement unit (IMU) and activity class...

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Bibliographic Details
Main Authors: Sungkook Hong, Youngjib Ham, Jaeyoul Chun, Hyunsoo Kim
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Sensors
Subjects:
detailed activity classification
schedule management
inertial measurement unit (IMU)
convolutional neural network (CNN)
long short-term memory (LSTM)
masonry
Online Access:https://www.mdpi.com/1424-8220/23/17/7635

Internet

https://www.mdpi.com/1424-8220/23/17/7635

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