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ADLnet: A 1d-CNN for Activity of Daily Living Recognition in Smart Homes

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Proceedings of the 15th International Conference on Ubiquitous Computing & Ambient Intelligence (UCAmI 2023) (UCAmI 2023)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 842))

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Abstract

Human activity recognition (HAR) systems enable continuous monitoring of human behaviours in several areas, including activity of daily living (ADL) detection in ambient intelligent environments. The extraction of relevant features is the most challenging part of sensor-based HAR. Feature extraction influences algorithm performance and reduces computation time and complexity. However, the majority of current HAR systems rely on handcrafted features that are incapable of handling complex activities, especially with the influx of multimodal and high-dimensional sensor data. Over the last few decades, Deep Learning has been considered to be one of the most powerful tools to handle huge amounts of data. Thus, we developed ADLnet, a One-Dimensional Convolutional Neural Network (1d-CNN) for recognizing ADLs in Smart Homes, as part of an ambient assisted living framework to provide assistance to elderly inhabitants. We propose an innovative method to scan and classify time-series sensor data such as the CASAS dataset, which has been used for the training/validation/testing process. Testing results show very high performance.

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Authors and Affiliations

  1. Department of Electronics Information and Bioengineering, Politecnico di Milano, Milan, Italy

    Fabio Salice, Andrea Masciadri & Sara Comai

  2. Department of Physics, Politenico di Milano, Milan, Italy

    Giuseppe Di Blasio & Matteo Venturelli

Authors
  1. Fabio Salice
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  2. Andrea Masciadri
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  3. Giuseppe Di Blasio
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  4. Matteo Venturelli
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  5. Sara Comai
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Corresponding author

Correspondence to Sara Comai .

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Editors and Affiliations

  1. Ciudad Real, Spain

    José Bravo

  2. Mérida, Yucatán, Mexico

    Gabriel Urzáiz

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Salice, F., Masciadri, A., Di Blasio, G., Venturelli, M., Comai, S. (2023). ADLnet: A 1d-CNN for Activity of Daily Living Recognition in Smart Homes. In: Bravo, J., Urzáiz, G. (eds) Proceedings of the 15th International Conference on Ubiquitous Computing & Ambient Intelligence (UCAmI 2023). UCAmI 2023. Lecture Notes in Networks and Systems, vol 842. Springer, Cham. https://doi.org/10.1007/978-3-031-48642-5_8

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