Deep Recurrent Neural Networks for Human Activity Recognition
نویسندگان
چکیده
منابع مشابه
Deep Recurrent Neural Networks for Human Activity Recognition
Adopting deep learning methods for human activity recognition has been effective in extracting discriminative features from raw input sequences acquired from body-worn sensors. Although human movements are encoded in a sequence of successive samples in time, typical machine learning methods perform recognition tasks without exploiting the temporal correlations between input data samples. Convol...
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ژورنال
عنوان ژورنال: Sensors
سال: 2017
ISSN: 1424-8220
DOI: 10.3390/s17112556