SynDa: A Novel Synthetic Data Generation Pipeline for Activity Recognition

Megani Rajendran, Chek Tien Tan, Indriyati Atmosukarto, Aik Beng Ng, Simon See. SynDa: A Novel Synthetic Data Generation Pipeline for Activity Recognition. In 2022 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct), Singapore, Singapore, October 17-21, 2022. pages 373-377, IEEE, 2022. [doi]

@inproceedings{RajendranTANS22,
  title = {SynDa: A Novel Synthetic Data Generation Pipeline for Activity Recognition},
  author = {Megani Rajendran and Chek Tien Tan and Indriyati Atmosukarto and Aik Beng Ng and Simon See},
  year = {2022},
  doi = {10.1109/ISMAR-Adjunct57072.2022.00081},
  url = {https://doi.org/10.1109/ISMAR-Adjunct57072.2022.00081},
  researchr = {https://researchr.org/publication/RajendranTANS22},
  cites = {0},
  citedby = {0},
  pages = {373-377},
  booktitle = {2022 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct), Singapore, Singapore, October 17-21, 2022},
  publisher = {IEEE},
  isbn = {978-1-6654-5365-3},
}