Name
Title | ||
|---|---|---|
Deep learning-based classification of work-related physical load levels in construction. |
Abstract | ||
|---|---|---|
•Physical load levels associated with construction activities were predicted from wearable sensor data.•Walking pattern changes caused by physical loads were analyzed for the prediction.•Prediction model using bidirectional long-short term memory was developed.•Results indicated 74.6 to 98.6% accuracy and 0.59 to 0.99 F-score in classification. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.aei.2020.101104 | Advanced Engineering Informatics |
Keywords | DocType | Volume |
Ergonomics,Work-related musculoskeletal disorders,Physical loads,Long-short term memory,Deep learning,Wearable inertial measurement units | Journal | 45 |
ISSN | Citations | PageRank |
1474-0346 | 0 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kanghyeok Yang | 1 | 0 | 0.68 |
| Changbum R. Ahn | 2 | 5 | 3.99 |
| Hyunsoo Kim | 3 | 0 | 1.01 |