Efficientnet-Lite and Hybrid CNN-KNN Implementation for Facial Expression Recognition on Raspberry Pi

Facial expression recognition (FER) is the task of determining a person's current emotion. It plays an important role in healthcare, marketing, and counselling. With the advancement in deep learning algorithms like Convolutional Neural Network (CNN), the system's accuracy is improving. A h...

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Veröffentlicht in:	IEEE access 2021, Vol.9, p.134065-134080
Hauptverfasser:	Ab Wahab, Mohd Nadhir, Nazir, Amril, Zhen Ren, Anthony Tan, Mohd Noor, Mohd Halim, Akbar, Muhammad Firdaus, Mohamed, Ahmad Sufril Azlan
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Artificial neural networks Computational modeling Convolutional neural networks Datasets Deep learning EfficientNet-Lite emotion recognition facial expression recognition Feature extraction Hidden Markov models hybrid CNN-KNN K-nearest neighbors algorithm Machine learning Optimization Raspberry Pi Real-time systems Storage capacity Support vector machines Training
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