Abstract
In the field of human-computer interaction, it is very important for computers to understand human behaviors, so human action recognition is of great significance. But in the current action recognition work, most of them are for the segmented action data. Compared with this, there is less research on continuous action recognition. Therefore, this paper summarizes the research on continuous action recognition, and elaborates on action feature extraction, action classification, and continuous action segmentation.
| Original language | English |
|---|---|
| Article number | 012116 |
| Journal | Journal of Physics: Conference Series |
| Volume | 1607 |
| Issue number | 1 |
| DOIs | |
| State | Published - 17 Aug 2020 |
| Externally published | Yes |
| Event | 2020 International Symposium on Electronic Information Technology and Communication Engineering, ISEITCE 2020 - Jinan, China Duration: 19 Jun 2020 → 21 Jun 2020 |
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