Breathing-Based Authentication on Resource-Constrained IoT Devices using Recurrent Neural Networks.

Computer(2018)

引用 59|浏览63
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摘要
Recurrent neural networks (RNNs) have shown promising results in audio and speech-processing applications. The increasing popularity of Internet of Things (IoT) devices makes a strong case for implementing RNN-based inferences for applications such as acoustics-based authentication and voice commands for smart homes. However, the feasibility and performance of these inferences on resource-constrai...
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关键词
Authentication,Performance evaluation,Hidden Markov models,Machine learning,Mel frequency cepstral coefficient,Recurrent neural networks
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