Human Activity and Motion Pattern Recognition within Indoor Environment Using Convolutional Neural Networks Clustering and Naive Bayes Classification Algorithms

Human Activity Recognition (HAR) systems are designed to read sensor data and analyse it to classify any detected movement and respond accordingly. However, there is a need for more responsive and near real-time systems to distinguish between false and true alarms. To accurately determine alarm trig...

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Detalles Bibliográficos
Autores principales: Ali, Ashraf, Samara, Weam, Alhaddad, Doaa, Ware, Andrew, Saraereh, Omar A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8839432/
https://www.ncbi.nlm.nih.gov/pubmed/35161763
http://dx.doi.org/10.3390/s22031016

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8839432/
https://www.ncbi.nlm.nih.gov/pubmed/35161763
http://dx.doi.org/10.3390/s22031016

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