Tao et al., 2020 - Google Patents
Multi-modal recognition of worker activity for human-centered intelligent manufacturingTao et al., 2020
View PDF- Document ID
- 16581590969570233455
- Author
- Tao W
- Leu M
- Yin Z
- Publication year
- Publication venue
- Engineering Applications of Artificial Intelligence
External Links
Snippet
This study aims at sensing and understanding the worker's activity in a human-centered intelligent manufacturing system. We propose a novel multi-modal approach for worker activity recognition by leveraging information from different sensors and in different …
- 230000000694 effects 0 title abstract description 102
Classifications
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- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
- G06K9/6232—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods
- G06K9/6247—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods based on an approximation criterion, e.g. principal component analysis
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- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
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