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Found 2 papers, 1 papers with code
GeXSe (Generative Explanatory Sensor System): An Interpretable Deep Generative Model for Human Activity Recognition in Smart Spaces
The standard approach is based on a CNN model, which our MLP model outperforms. GeXSe offers two types of explanations: sensor-based activation maps and visual domain explanations using short videos.
Cadence: A Practical Time-series Partitioning Algorithm for Unlabeled IoT Sensor Streams
We show that by learning a representation specifically with the segmentation objective based on maximum mean discrepancy (MMD), our algorithm can robustly detect time-series events across different applications.
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