Ensem-HAR: An Ensemble Deep Learning Model for Smartphone Sensor-Based Human Activity Recognition for Measurement of Elderly Health Monitoring

Biomedical images contain a huge number of sensor measurements that can provide disease characteristics. Computer-assisted analysis of such parameters aids in the early detection of disease, and as a result aids medical professionals in quickly selecting appropriate medications. Human Activity Recog...

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Detalles Bibliográficos
Autores principales: Bhattacharya, Debarshi, Sharma, Deepak, Kim, Wonjoon, Ijaz, Muhammad Fazal, Singh, Pawan Kumar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9221472/
https://www.ncbi.nlm.nih.gov/pubmed/35735541
http://dx.doi.org/10.3390/bios12060393

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9221472/
https://www.ncbi.nlm.nih.gov/pubmed/35735541
http://dx.doi.org/10.3390/bios12060393

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