Human Posture Analysis in Working Capacity Monitoring of Critical Use Equipment Operators
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-35311-6_11
Reference13 articles.
1. Babu, T., Ashwin, S., Naidu, M., Muthukumaaran, C., Ravi Raghavan, C.: Sleep Detection and alert system for automobiles. In: Hiremath, S.S., Shanmugam, N.S., Bapu, B.R.R. (eds.) Advances in Manufacturing Technology. LNME, pp. 113–118. Springer, Singapore (2019). https://doi.org/10.1007/978-981-13-6374-0_14
2. Huda, C., Tolle, H., Utaminingrum, F.: Mobile-based driver sleepiness detection using facial landmarks and analysis of EAR Values. Interact. Mob. Technol., 16–30 (2020)
3. Chirra, V.R.R., Uyyala, S.R., Kolli, V.K.K.: Deep CNN: A machine learning approach for driver drowsiness detection based on eye state. Rev. d’Intelligence Artif. 33, 461–466 (2019)
4. Guede, F., Fernandez-Chimeno, M., Ramos-Castro, J., Garcia-Gonzalez, M.A.: Driver drowsiness detection based on respiratory signal analysis. IEEE Access 7, 81826–81838 (2019)
5. Yauri-Machaca, M., Meneses-Claudio, B., Vargas-Cuentas, N., Roman-Gonzalez, A.: Design of a vehicle driver drowsiness detection system through image processing using matlab. In: 2018 IEEE 38th Central America and Panama Convention (CONCAPAN XXXVIII), pp. 1–6 (2018)
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