| Selected Papers | [1] K. Thipprachak, P. Tangamchit and S. Lerspalungsanti, "Privacy-Preserving Fall Detection Using an Ultra-Wideband Sensor With Continuous Human State Classification," in IEEE Access, vol. 12, pp. 129103-129119, 2024, doi: 10.1109/ACCESS.2024.3457571.
[2] K. Thipprachak, P. Tangamchit and S. Lerspalungsanti, "A Convolutional Neural Network Model for Privacy-Sensitive Ultra-Wideband Radar-Based Human Static Posture Classification and Fall Detection," 2023 IEEE Statistical Signal Processing Workshop (SSP), Hanoi, Vietnam, 2023, pp. 443-447, doi: 10.1109/SSP53291.2023.10208028.
[3] K. Thipprachak, P. Tangamchit and S. Lerspalungsanti, "Privacy-Aware Human Activity Classification using a Transformer-based Model," 2022 IEEE Symposium Series on Computational Intelligence (SSCI), Singapore, Singapore, 2022, pp. 528-534, doi: 10.1109/SSCI51031.2022.10022115.
[4] Warayut Surasakhon, Attaphongse Taparugssanagorn, Sarawut Lerspalungsanti, Khirakorn Thipprachak, “Early Detection of a Fall Using Wi-Fi and Deep Learning, 2022 ” International Journal of Sensor Networks (IJSNET), Vol.40 no. 3 pp. 190-202, Inderscience Publishers.
[5] K. Thipprachak and P. Tangamchit, "Spatio-temporal Model for Limit Order Books in The Stock Exchange of Thailand," 2019 First International Symposium on Instrumentation, Control, Artificial Intelligence, and Robotics (ICA-SYMP), Bangkok, Thailand, 2019, pp. 119-122, doi: 10.1109/ICA-SYMP.2019.8645980 |