Real-time stress assessment using sliding window based convolutional neural network
Mental stress has been identified as a significant cause of several bodily disorders, such as depression, hypertension, neural and cardiovascular abnormalities. Conventional stress assessment methods are highly subjective and tedious and tend to lack accuracy. Machine-learning (ML)-based computer-ai...
| Main Authors: | Naqvi, S.F., Ali, S.S.A., Yahya, N., Yasin, M.A., Hafeez, Y., Subhani, A.R., Adil, S.H., Saggaf, U.M.A., Moinuddin, M. |
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| Format: | Article |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.23392 / |
| Published: |
MDPI AG
2020
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| Online Access: |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85089240804&doi=10.3390%2fs20164400&partnerID=40&md5=5d5ff503da4a2e79886a5ffb96d6d2d7 http://eprints.utp.edu.my/23392/ |
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