• Corpus ID: 233210244

Description of Structural Biases and Associated Data in Sensor-Rich Environments

@article{Hamidi2021DescriptionOS,
  title={Description of Structural Biases and Associated Data in Sensor-Rich Environments},
  author={Massinissa Hamidi and Aomar Osmani},
  journal={ArXiv},
  year={2021},
  volume={abs/2104.04885}
}
In this article, we study activity recognition in the context of sensor-rich environments. We address, in particular, the problem of inductive biases and their impact on the data collection process. To be effective and robust, activity recognition systems must take these biases into account at all levels and model them as hyperparameters by which they can be controlled. Whether it is a bias related to sensor measurement, transmission protocol, sensor deployment topology, heterogeneity… 

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