WiWeHAR: Multimodal Human Activity Recognition Using Wi-Fi and Wearable Sensing Modalities

WiWeHAR: Multimodal Human Activity Recognition Using Wi-Fi and Wearable Sensing Modalities

Robust and accurate human activity recognition (HAR) systems are essential to many human-centric services within active assisted living and healthcare facilities. Traditional HAR systems mostly leverage a single sensing modality (e.g., either wearable, vision, or radio frequency sensing) combined wi...

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Bibliographic Details
Main Authors: Muhammad Muaaz, Ali Chelli, Ahmed Abdelmonem Abdelgawwad, Andreu Catala Mallofre, Matthias Patzold
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Activity recognition
Doppler effect
feature extraction
feature fusion
machine learning
micro-Doppler signature
Online Access:https://ieeexplore.ieee.org/document/9187210/

Internet

https://ieeexplore.ieee.org/document/9187210/

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