Cargando…
Activity Recognition for IoT Devices Using Fuzzy Spatio-Temporal Features as Environmental Sensor Fusion
The IoT describes a development field where new approaches and trends are in constant change. In this scenario, new devices and sensors are offering higher precision in everyday life in an increasingly less invasive way. In this work, we propose the use of spatial-temporal features by means of fuzzy...
Autores principales: | López Medina, Miguel Ángel, Espinilla, Macarena, Paggeti, Cristiano, Medina Quero, Javier |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6719961/ https://www.ncbi.nlm.nih.gov/pubmed/31405220 http://dx.doi.org/10.3390/s19163512 |
Ejemplares similares
-
A New Architecture Based on IoT and Machine Learning Paradigms in Photovoltaic Systems to Nowcast Output Energy
por: Almonacid-Olleros, Guillermo, et al.
Publicado: (2020) -
Application of IoT in Healthcare: Keys to Implementation of the Sustainable Development Goals
por: Verdejo Espinosa, Ángeles, et al.
Publicado: (2021) -
A Temporal Adaptive Access Mechanism for Data Fusion in an IoT Environment
por: Xu, Jiuyun, et al.
Publicado: (2018) -
Sazgar IoT: A Device-Centric IoT Framework and Approximation Technique for Efficient and Scalable IoT Data Processing
por: Yavari, Ali, et al.
Publicado: (2023) -
Real-Time Monitoring in Home-Based Cardiac Rehabilitation Using Wrist-Worn Heart Rate Devices
por: Medina Quero, Javier, et al.
Publicado: (2017)