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Conference

Fully Convolutional Network Bootstrapped by Word Encoding and Embedding for Activity Recognition in Smart Homes

Subjects: Human Activity Recognition; Smart Homes; EmbeddingYokohama; Japan

  • Source: Li X., Wu M., Chen Z., Zhang L. (eds) Deep Learning for Human Activity Recognition. DL-HAR 2021. Communications in Computer and Information Science, vol 1370. Springer ; DL-HAR 2021: 2nd International

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Conference

Considering the mutual information criterion for sensor configuration selection in human activity recognition in smart homes

Subjects: [SPI]Engineering Sciences [physics]Shanghai; China

  • Source: BS 2023: 18th Conference of IBPSA, Building Simulation ; https://hal.science/hal-04208937 ; BS 2023: 18th Conference of IBPSA, Building Simulation, Sep 2023, Shanghai, China. pp.469-476,

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Academic Journal

Using Language Model to Bootstrap Human Activity Recognition Ambient Sensors Based in Smart Homes

Subjects: human activity recognition; deep learning; smart home

  • Source: ISSN: 2079-9292 ; Electronics ; https://inria.hal.science/hal-03381762 ; Electronics, 2021, 10 (20), pp.2498. ⟨10.3390/electronics10202498⟩.

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Academic Journal

Integrated Management of Energy, Wellbeing and Health in the Next Generation of Smart Homes

Subjects: smart home; healthcare; wellbeing

  • Source: ISSN: 1424-8220 ; Sensors ; https://imt-atlantique.hal.science/hal-02057287 ; Sensors, 2019, 19 (3), pp.481. ⟨10.3390/s19030481⟩.

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Academic Journal

A Smart Home Digital Twin to Support the Recognition of Activities of Daily Living

Subjects: [INFO]Computer Science [cs]

  • Source: ISSN: 1424-8220 ; Sensors ; https://imt-atlantique.hal.science/hal-04474884 ; Sensors, 2023, 23 (17), pp.7586. ⟨10.3390/s23177586⟩.

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