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Found 3 papers, 2 papers with code
Using Language Model to Bootstrap Human Activity Recognition Ambient Sensors Based in Smart Homes
We thus demonstrate that taking into account the context of the sensors and their semantics increases the classification performances and enables transfer learning.
A Survey of Human Activity Recognition in Smart Homes Based on IoT Sensors Algorithms: Taxonomies, Challenges, and Opportunities with Deep Learning
In this paper, we present recent algorithms, works, challenges and taxonomy of the field of human activity recognition in a smart home through ambient sensors.
Fully Convolutional Network Bootstrapped by Word Encoding and Embedding for Activity Recognition in Smart Homes
Our analysis also shows that FCN is a suitable algorithm for smart home activity recognition and hightlights the advantages of automatic feature extraction.
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