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An Edge AI Accelerator Design Based on HDC Model for Real-time EEG-based Emotion Recognition System with RISC-V FPGA Platform
Jia Yu Li,
Wai Chi Fang
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此作品的通信作者
電子研究所
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引文 斯高帕斯(Scopus)
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Keyphrases
Design Basis
100%
Emotion Classification
100%
Real-time EEG
100%
RISC-V
100%
FPGA Platform
100%
Accelerator Design
100%
Computing Model
100%
Hyperdimensional Computing
100%
EEG Emotion Recognition
100%
Edge AI Accelerator
100%
Real-time Emotion Recognition
50%
Healthcare
25%
Computational Complexity
25%
Physiological Signals
25%
Rapid Growth
25%
Hardware Cost
25%
Power Efficiency
25%
Arousal
25%
Hardware Design
25%
Promising Applications
25%
Valence
25%
Effective Solutions
25%
EEG Signals
25%
Emotion Recognition
25%
Energy Efficiency Improvement
25%
EEG Data
25%
Computational Speed
25%
Human-computer Interaction
25%
Edge Computing
25%
Traditional Neural Network
25%
Personalized Care
25%
Technology Simulation
25%
Emotion Analysis
25%
IoT Edge Computing
25%
Clinical Psychology
25%
Computer Science
Recognition System
100%
Edge AI
100%
Artificial Intelligence
100%
Internet-Of-Things
100%
Field Programmable Gate Arrays
100%
Computational Complexity
50%
Energy Efficiency
50%
Neural Network
50%
Hardware Cost
50%
Hardware Design
50%
Power Efficiency
50%
Effective Solution
50%
Physiological Signal
50%
Human Computer Interaction
50%
Edge Computing
50%