Emotion and stress recognition related sensors and machine learning technologies
Authors: Kyamakya, K., Al-Machot, F., Mosa, A.H., Bouchachia, H., Chedjou, J.C. and Bagula, A.
Journal: Sensors
Volume: 21
Issue: 7
ISSN: 1424-8220
DOI: 10.3390/s21072273
https://eprints.bournemouth.ac.uk/35347/
Source: Scopus
Emotion and Stress Recognition Related Sensors and Machine Learning Technologies.
Authors: Kyamakya, K., Al-Machot, F., Haj Mosa, A., Bouchachia, H., Chedjou, J.C. and Bagula, A.
Journal: Sensors (Basel)
Volume: 21
Issue: 7
eISSN: 1424-8220
DOI: 10.3390/s21072273
Abstract:Intelligent sociotechnical systems are gaining momentum in today's information-rich society, where different technologies are used to collect data from such systems and mine this data to make useful insights about our daily activities [...].
https://eprints.bournemouth.ac.uk/35347/
Source: PubMed
Emotion and Stress Recognition Related Sensors and Machine Learning Technologies
Authors: Kyamakya, K., Al-Machot, F., Haj Mosa, A., Bouchachia, H., Chedjou, J.C. and Bagula, A.
Journal: SENSORS
Volume: 21
Issue: 7
eISSN: 1424-8220
DOI: 10.3390/s21072273
https://eprints.bournemouth.ac.uk/35347/
Source: Web of Science (Lite)
Emotion and Stress Recognition Related Sensors and Machine Learning Technologies.
Authors: Kyamakya, K., Al-Machot, F., Haj Mosa, A., Bouchachia, H., Chedjou, J.C. and Bagula, A.
Journal: Sensors (Basel, Switzerland)
Volume: 21
Issue: 7
Pages: 2273
eISSN: 1424-8220
ISSN: 1424-8220
DOI: 10.3390/s21072273
Abstract:Intelligent sociotechnical systems are gaining momentum in today's information-rich society, where different technologies are used to collect data from such systems and mine this data to make useful insights about our daily activities [...].
https://eprints.bournemouth.ac.uk/35347/
Source: Europe PubMed Central
Emotion and stress recognition related sensors and machine learning technologies
Authors: Kyamakya, K., Al-Machot, F., Mosa, A.H., Bouchachia, H., Chedjou, J.C. and Bagula, A.
Journal: Sensors
Volume: 21
Issue: 7
ISSN: 1424-8220
Abstract:No abstract
https://eprints.bournemouth.ac.uk/35347/
Source: BURO EPrints