In this work we investigate the effectiveness of using Z-score conversion on physiological data for extracting human-readable rules via decision trees. To accomplish this we have utilised a popular dataset to obtain raw voltage information from physiological sensors, and minimally preprocessed the signals to aid in the construction of decision trees for unearthing logic rules. We have found that raw voltages change from experiment to experiment and vary widely between participants. The use of Z-score conversion proved very effective at normalising signals and provided a range of useful rules from individual participants.
|Title of host publication||Proceedings of 2019 11th International Conference on Knowledge and Systems Engineering, KSE 2019|
|Editors||Josiane Mothe, Le Hoang Son, Nguyen Tran Quoc Vinh|
|Place of Publication||United States|
|Publisher||IEEE, Institute of Electrical and Electronics Engineers|
|Number of pages||6|
|Publication status||Published - Oct 2019|
|Event||11th IEEE International Conference on Knowledge and Systems Engineering: KSE 2019 - University of Education and Science, The University of Danang, Da Nang, Viet Nam|
Duration: 24 Oct 2019 → 26 Oct 2019
|Conference||11th IEEE International Conference on Knowledge and Systems Engineering|
|Period||24/10/19 → 26/10/19|
|Other||The 11th KSE is an international forum for presentation, discussion, and exchange of the state-of-the-art research, development, and applications in the field of knowledge and systems engineering.|
The main objective of the KSE is to bring together researchers, practitioners and students not only to share research results and practical applications but also to foster collaboration in the field. The KSE this year will be held in Da Nang, a coastal and tourism city with beautiful beaches and a lot of exciting experiences. The conference will be co-organized by The University of Da Nang - University of Science and Education (UD-USE) and VNU University of Engineering and Technology (VNU-UET).