Dual-scale Doppler Attention for Human Identification.

Pytorch code for the 2022 Sensor Journal paper DSDA: Dual-scale Doppler Attention for Human Identification.

Author: Sunjae Yoon, Dahyun Kim, Ji Woo Hong, Junyeong Kim, Chang D. Yoo

Paper can be found at: https://www.mdpi.com/1424-8220/22/17/6363

This system aims to identify human in the radar signal using deep learning model.

Data Set

Data set can be downloaded from: https://www.imec-int.com/en/IDRad

python scripts/process_all.py --input \<root path\>

Train model

python train.py

Test model

python eval.py

Acknowldegement

This work was partly supported by Institute for Information & communications Technology Promotion(IITP) grant funded by the Korea government(MSIT) (No. 2021-0-01381, Development of Causal AI through Video Understanding) and partly supported by Institute of Information & communications Technology Planning & Evaluation (IITP) grant funded by the Korea government(MSIT) (No. 2022-0-00951, Development of Uncertainty-Aware Agents Learning by Asking Questions)

This software is based on top of following conributions: IDRad We thank the authors for open-sourcing these great projects and papers!

Citation

If you find this code useful for your research, please cite our paper: