SICU Ambience and Patient Health Monitoring System with IOT principles

Mankena, Santosh Vardhan Reddy; Kumar, V.S.Yashwanth; Pokala, Sai Rithwik; Upputerla, Veda Varun; Valiveti, Hima Bindu; Duggineni, Chaitanya; Swaraja, K.; Meenakshi, K.

doi:10.1109/icesc51422.2021.9532926

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Cited by 5 publications

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“…The accuracy of the model is defined by the size of the dataset. In the above-mentioned model, a small dataset has been used due to which the accuracy might appear higher than the original value [14] [15]. Qaisar Abbas et al developed a hybrid fatigue detection system using multiple cameras and ECG sensors.…”

Section: Literature Surveymentioning

confidence: 99%

Soft Computing Techniques for Driver Alertness

Reddy¹,

Khadyoth²,

Raman³

et al. 2022

J. Phys.: Conf. Ser.

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There has been an alarming increase in the number of accidents that occur due to drowsiness while driving. In order to reduce roadside accidents, the detection of driver fatigue or drowsiness is crucial. Detecting fatigue during driving is crucial for reducing accidents, as well as improving the safety of both the driver and the passengers. Various methods can be used to detect drowsiness among drivers, but fuzzy logic-based detection stands out for its ability to avoid false alarms. As part of the proposed system, we are using eye-tracking in combination with methods such as Haar cascade to identify the level of drowsiness of the driver. This system has been tested in real-time.

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Section: Literature Surveymentioning

confidence: 99%