Benchmarking Reservoir and Recurrent Neural Networks for Human State and Activity Recognition
نویسندگان
چکیده
Monitoring of human states from streams sensor data is an appealing applicative area for Recurrent Neural Network (RNN) models. In such a scenario, Echo State (ESN) models the Reservoir Computing paradigm can represent good candidates due to efficient training algorithms, which, compared fully trainable RNNs, definitely ease embedding on edge devices.
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ژورنال
عنوان ژورنال: Lecture Notes in Computer Science
سال: 2021
ISSN: ['1611-3349', '0302-9743']
DOI: https://doi.org/10.1007/978-3-030-85099-9_14