Open Access
| Issue |
E3S Web of Conf.
Volume 507, 2024
International Conference on Futuristic Trends in Engineering, Science & Technology (ICFTEST-2024)
|
|
|---|---|---|
| Article Number | 01045 | |
| Number of page(s) | 10 | |
| DOI | https://doi.org/10.1051/e3sconf/202450701045 | |
| Published online | 29 March 2024 | |
- Ravipa Walee; Nutchaya Phumekham; Seksan Laitrakun; Thitipa Sueayan, 2022. Human Activity Recognition Using an IoT-based Posture Corrector and Machine Learning. 7th International Conference on Business and Industrial Research (ICBIR), May 2022. [Google Scholar]
- Q. Mascret; G. Gagnon-Turcotte; M. Bielmann; C. L. Fall; L. J. Bouyer;B. Gosselin, 2022. A Wearable Sensor Network with Embedded Machine Learning for Real-Time Motion Analysis and Complex Posture Detection. IEEE Sensors Journal, April 2022. [Google Scholar]
- Mritha Ramalingam; R. Puviarasi; Quah Chia Shern; Elanchezhian Chinnavan, 2021. Designing IoT based Posture Monitoring System. 6th International Conference on Inventive Computation Technologies, January 2021. [Google Scholar]
- Suhan Muppavram; Nipoon Patel; Muhammad Nadeem, 2018. Posture Alert. IEEE Region Ten Symposium, July 2018. [Google Scholar]
- Reem Alattas; Khaled Elleithy, 2014. Detecting and Minimizing Bad Posture Using Postuino among Engineering Students. 2014 2nd International Conference on Artificial Intelligence, Modelling and Simulation, November 2014. [Google Scholar]
- Alpha Agape Gopalai; S. M. N. Arosha Arosha Senanayake, 2011. A Wearable Real-Time Intelligent Posture Corrective System Using Vibrotactile Feedback. IEEE/ASME Transactions on Mechatronics, Oct 2011. [Google Scholar]
- Hassan Khaled, Osama Abu-Elnasr, Samir Elmougy & A. S. Tolba Intelligent system for human activity recognition in IoT environment, 9, 2023. [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.