Name
Title | ||
|---|---|---|
Automated Analyzing System for Recognizing the Elemental Processes Based on the Labeled LDA |
Abstract | ||
|---|---|---|
In this paper, we described an automated analyzing method for the elemental processes. This method predicted the elemental processes from the sensor data by using labeled latent Dirichlet allocation (L-LDA) that is supervised topic model. The L-LDA studies automatically characteristic motion. We do not need to define characteristic motion by applying the L-LDA to motion analysis. The sensor data are motion sensors of both hands and a pressure sensor of working space. Numerical data obtained from the sensors were converted into word data by the threshold process using statistically determined thresholds. The automated analysis by the L-LDA was conducted by using the word data. We confirmed that recall by the method was over 86.9% by the evaluation experiment. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/ICMLC48188.2019.8949295 | 2019 International Conference on Machine Learning and Cybernetics (ICMLC) |
Keywords | Field | DocType |
Elemental processes,Labeled latent dirichlet allocation,Manufacturing industries,Productivity,Therblig analysis | Latent Dirichlet allocation,Pattern recognition,Computer science,Working space,Pressure sensor,Motion sensors,Artificial intelligence,Topic model,Motion analysis | Conference |
ISSN | ISBN | Citations |
2160-133X | 978-1-7281-2817-7 | 0 |
PageRank | References | Authors |
0.34 | 3 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kentaro Mori | 1 | 1 | 0.75 |
| Hiroshi Nakajima | 2 | 89 | 12.41 |
| Yasuyo Kotake | 3 | 0 | 0.34 |
| Danni Wang | 4 | 0 | 1.69 |
| Yutaka Hata | 5 | 404 | 97.09 |