Cargando…
Seamless Tracing of Human Behavior Using Complementary Wearable and House-Embedded Sensors
This paper presents a multimodal system for seamless surveillance of elderly people in their living environment. The system uses simultaneously a wearable sensor network for each individual and premise-embedded sensors specific for each environment. The paper demonstrates the benefits of using compl...
Autores principales: | Augustyniak, Piotr, Smoleń, Magdalena, Mikrut, Zbigniew, Kańtoch, Eliasz |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Molecular Diversity Preservation International (MDPI)
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4062997/ https://www.ncbi.nlm.nih.gov/pubmed/24787640 http://dx.doi.org/10.3390/s140507831 |
Ejemplares similares
-
Recognition of Sedentary Behavior by Machine Learning Analysis of Wearable Sensors during Activities of Daily Living for Telemedical Assessment of Cardiovascular Risk
por: Kańtoch, Eliasz
Publicado: (2018) -
Cardiovascular and Pre-Frailty Risk Assessment during Shelter-In-Place Measures Based on Multimodal Biomarkers Collected from Smart Telemedical Wearables
por: Kańtoch, Eliasz, et al.
Publicado: (2021) -
What Features and Functions Are Desired in Telemedical Services Targeted at Polish Older Adults Delivered by Wearable Medical Devices?—Pre-COVID-19 Flashback
por: Kańtoch, Eliasz, et al.
Publicado: (2020) -
Assisted Living System with Adaptive Sensor’s Contribution
por: Smoleń, Magdalena, et al.
Publicado: (2020) -
Open-Source Strain Gauge System for Monitoring Pressure Distribution of Runner’s Feet
por: Kromołowska, Klaudia, et al.
Publicado: (2023)