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Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

  • 10 Similar Profiles
Home networks Engineering & Materials Science
Consumer electronics Engineering & Materials Science
Disasters Engineering & Materials Science
Smartphones Engineering & Materials Science
Sensors Engineering & Materials Science
Energy management systems Engineering & Materials Science
Education Engineering & Materials Science
Domestic appliances Engineering & Materials Science

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Research Output 1982 2019

  • 322 Citations
  • 6 h-Index
  • 46 Conference contribution
  • 38 Article

Brain's Stress Observation System Using 2-Channels NIRS Based on Classroom Activity

Sunthad, K., Niitsu, Y., Inoue, M. & Yokemura, T., 2019 Mar 6, 2019 IEEE International Conference on Consumer Electronics, ICCE 2019. Institute of Electrical and Electronics Engineers Inc., 8662117. (2019 IEEE International Conference on Consumer Electronics, ICCE 2019).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Near infrared spectroscopy
Brain
Students
Learning algorithms
Education

Daily Stress and Mood Recognition System Using Deep Learning and Fuzzy Clustering for Promoting Better Well-Being

Lawanot, W., Inoue, M., Yokemura, T., Mongkolnam, P. & Nukoolkit, C., 2019 Mar 6, 2019 IEEE International Conference on Consumer Electronics, ICCE 2019. Institute of Electrical and Electronics Engineers Inc., 8661932. (2019 IEEE International Conference on Consumer Electronics, ICCE 2019).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Fuzzy clustering
Personnel
Decision support systems
Health
Monitoring

Daily stress recognition system using activity tracker and smartphone based on physical activity and heart rate data

Lawanont, W., Mongkolnam, P., Nukoolkit, C. & Inoue, M., 2019 Jan 1, Intelligent Decision Technologies 2018 - Proceedings of the 10th KES International Conference on Intelligent Decision Technologies KES-IDT 2018. Jain, L. C., Czarnowski, I., Howlett, R. J. & Vlacic, L. (eds.). Springer Science and Business Media Deutschland GmbH, p. 11-21 11 p. (Smart Innovation, Systems and Technologies; vol. 97).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Smartphones
Activity systems
Physical activity
Internet of things

Internet of Things for Greenhouse Monitoring System Using Deep Learning and Bot Notification Services

Kitpo, N., Kugai, Y., Inoue, M., Yokemura, T. & Satomura, S., 2019 Mar 6, 2019 IEEE International Conference on Consumer Electronics, ICCE 2019. Institute of Electrical and Electronics Engineers Inc., 8661999. (2019 IEEE International Conference on Consumer Electronics, ICCE 2019).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Greenhouses
Fruits
Monitoring
Water supply
Atmospheric humidity

A development of classification model for smartphone addiction recognition system based on smartphone usage data

Lawanont, W. & Inoue, M., 2018, Intelligent Decision Technologies 2017 - Proceedings of the 9th KES International Conference on Intelligent Decision Technologies, KES-IDT 2017. Springer Science and Business Media Deutschland GmbH, Vol. 73. p. 3-12 10 p. (Smart Innovation, Systems and Technologies; vol. 73).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Smartphones
Addiction
Health
System architecture