Driver drowsiness detection using hybrid convolutional neural network and long short-term memory

Jing-Ming Guo; Herleeyandi Markoni

doi:10.1007/s11042-018-6378-6

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Driver drowsiness detection using hybrid convolutional neural network and long short-term memory

Jing-Ming Guo Herleeyandi Markoni

Year: 2018 Journal: Multimedia Tools and Applications Vol: 78 (20)Pages: 29059-29087 Publisher: Springer Science+Business Media

DOI: 10.1007/s11042-018-6378-6

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Keywords:

Computer science Convolutional neural network Robustness (evolution) Long short term memory Artificial intelligence Deep learning Variation (astronomy) Face (sociological concept) Machine learning Artificial neural network Pattern recognition (psychology) Recurrent neural network

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Topics

Sleep and Work-Related Fatigue

Social Sciences → Psychology → Experimental and Cognitive Psychology

Fire Detection and Safety Systems

Physical Sciences → Engineering → Safety, Risk, Reliability and Quality

IoT and GPS-based Vehicle Safety Systems

Physical Sciences → Engineering → Mechanical Engineering

Driver drowsiness detection using hybrid convolutional neural network and long short-term memory

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