Deep learning for activity recognition using audio and video
Neural networks have established themselves as powerhouses in what concerns several types of detection, ranging from human activities to their emotions. Several types of analysis exist, and the most popular and successful is video. However, there are other kinds of analysis, which, despite not being...
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| Outros Autores: | , |
| Formato: | article |
| Idioma: | eng |
| Publicado em: |
2022
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| Texto completo: | https://hdl.handle.net/1822/78007 |
| País: | Portugal |
| Oai: | oai:repositorium.sdum.uminho.pt:1822/78007 |