EEG Data Compression using Truncated Singular Value Decomposition for Remote Driver Status Monitoring
Advancements in wireless body sensor technology have enabled continuous recording of Electroencephalogram (EEG) data for remote monitoring. However, a significant amount of data introduced due to the continuous data recording over time has become a challenge for energy constraint sensor nodes to tra...
| Main Authors: | Alam, M.K., Aziz, A.A., Latif, S.A., Awang, A. |
|---|---|
| Format: | Conference or Workshop Item |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.24888 / |
| Published: |
Institute of Electrical and Electronics Engineers Inc.
2019
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| Online Access: |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85075640107&doi=10.1109%2fSCORED.2019.8896252&partnerID=40&md5=0687e1552ed06a36aa3b0df6ea267f00 http://eprints.utp.edu.my/24888/ |
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