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Sensor Data Acquisition and Multimodal Sensor Fusion for Human Activity Recognition Using Deep Learning
In this paper, we perform a systematic study about the on-body sensor positioning and data acquisition details for Human Activity Recognition (HAR) systems. We build a testbed that consists of eight body-worn Inertial Measurement Units (IMU) sensors and an Android mobile device for activity data col...
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| Publicado no: | Sensors (Basel) |
|---|---|
| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6479605/ https://ncbi.nlm.nih.gov/pubmed/30974845 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s19071716 |
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