Improving Activity Recognition Accuracy in Ambient-Assisted Living Systems by Automated Feature Engineering

Ambient-assisted living (AAL) is promising to become a supplement of the current care models, providing enhanced living experience to people within context-aware homes and smart environments. Activity recognition based on sensory data in AAL systems is an important task because 1) it can be used for...

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Detalhes bibliográficos
Autor principal: Zdravevski, Eftim (author)
Outros Autores: Lameski, Petre (author), Trajkovik, Vladimir (author), Kulakov, Andrea (author), Chorbev, Ivan (author), Goleva, Rossitza (author), Pombo, Nuno (author), Garcia, Nuno M. (author)
Formato: article
Idioma:eng
Publicado em: 2020
Assuntos:
Feature extraction
Time series analysis
Ambient intelligence
Wearable sensors
Sensor fusion
Pattern recognition
Data mining
Data preprocessing
Body sensor networks
Texto completo:http://hdl.handle.net/10400.6/8267
País:Portugal
Oai:oai:ubibliorum.ubi.pt:10400.6/8267

Texto Completo

http://hdl.handle.net/10400.6/8267

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