Emotion recognition is an essential function to realize humanmachine interaction devices. Physiological signals which can be collected easily and continuously by wearable sensors are good inputs for emotion analysis. How to effectively process physiological signals, extract critical features, and choose machine learning model for emotion classification has been a big challenge. In this paper, an entropy-based processing scheme for emotion recognition framework is proposed, which includes entropy domain feature extraction and prediction by XGBoost classifier. We experiment on AMIGOS database and the experimental results show that the proposed scheme for multi-modal analysis outperforms conventional processing approaches. It achieves approximately 80% and 68% accuracy of prediction for two affect dimensions, valence and arousal. For one modality case, we found that galvanic skin response (GSR) channel is the most potential modality for prediction, which leads to best performances.
The reliability of NAND Flash memory deteriorates due to multi-level cell technique and advanced manufacturing technology. To deal with more errors, LDPC codes show superior performance to conventional BCH codes as ECC of NAND Flash memory systems. However, LDPC codec for NAND Flash memory systems faces problems of high redesign effort, high on-chip memory cost and high-throughput demand. This paper presents a byte-reconfigurable cost-effective high-throughput QC-LDPC codec design for NAND Flash memory systems. Reconfigurable codec design is proposed to support various QC-LDPC codes for different Flash memories. To save on-chip memory cost, shared-memory architecture and rescheduling architecture are presented for encoder and decoder, respectively. The shared-memory architecture can save 23% area cost of the encoder and the rescheduling architecture reduces 15% area cost of decoder. In addition, the proposed sub-iteration based early termination (SIB-ET) scheme reduces 29.6% decoding iteration counts compare with the state-of-the-art early termination scheme when raw BER of Flash memory is . Finally, the QC-LDPC codec for NAND Flash memory systems is implemented in TSMC 90 nm technology. The post-layout result shows that the core size is only 6.72 at 222 MHz operating frequency.
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