Real-time stress assessment using sliding window based convolutional neural network

• 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.
• Format: Article
• Published: MDPI AG 2020
• 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/30059/

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...