A Review on Drowsiness Prediction System using Deep Learning Approaches-Reference-Cited by-同舟云学术

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A Review on Drowsiness Prediction System using Deep Learning Approaches

Published:2022-03-29 Issue: Volume: Page:
ISSN:
Container-title:2022 6th International Conference on Computing Methodologies and Communication (ICCMC)
language:
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Author:

S Priyanka¹,M Meenakshi Dhanalakshmi¹,S Shanthi²

Affiliation:

1. Bannari Amman Institute of Technology,CSE Department,Tamil Nadu,India

2. Kongu Engineering College,CT Department,Tamil Nadu,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9752772/9753686/09753842.pdf?arnumber=9753842

Reference15 articles.

1. Efficient and compact face descriptor for driver drowsiness detection

2. Development of Game-Like System Using Active Behavior Input for Wakefulness-Keeping Support in Driving

3. Tensor-Based EEG Network Formation and Feature Extraction for Cross-Session Driving Drowsiness Detection

4. Heart Rate Variability-Based Driver Drowsiness Detection and Its Validation With EEG

5. Real‐time drowsiness detection using wearable, lightweight brain sensing headbands

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1. Product Recommendation System Using Machine Learning;2024 2nd International Conference on Disruptive Technologies (ICDT);2024-03-15

2. Alertness Anticipation Innovations in Driver Safety Predictions;2023 IEEE International Conference on ICT in Business Industry & Government (ICTBIG);2023-12-08

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