Cargando…
Deep Neural Network for the Detections of Fall and Physical Activities Using Foot Pressures and Inertial Sensing
Fall detection and physical activity (PA) classification are important health maintenance issues for the elderly and people with mobility dysfunctions. The literature review showed that most studies concerning fall detection and PA classification addressed these issues individually, and many were ba...
Autores principales: | Chan, Hsiao-Lung, Ouyang, Yuan, Chen, Rou-Shayn, Lai, Yen-Hung, Kuo, Cheng-Chung, Liao, Guo-Sheng, Hsu, Wen-Yen, Chang, Ya-Ju |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9824659/ https://www.ncbi.nlm.nih.gov/pubmed/36617087 http://dx.doi.org/10.3390/s23010495 |
Ejemplares similares
-
Effects of Lower Limb Cycling Training on Different Components of Force and Fatigue in Individuals With Parkinson’s Disease
por: Lin, Yen-Po, et al.
Publicado: (2022) -
Innovative Head-Mounted System Based on Inertial Sensors and Magnetometer for Detecting Falling Movements
por: Lin, Chih-Lung, et al.
Publicado: (2020) -
Assessing falls in the elderly population using G-STRIDE foot-mounted inertial sensor
por: Álvarez, Marta Neira, et al.
Publicado: (2023) -
Deep Sensing: Inertial and Ambient Sensing for Activity Context Recognition Using Deep Convolutional Neural Networks
por: Otebolaku, Abayomi, et al.
Publicado: (2020) -
Diseases in Patients Coming to a Sleep Center with Symptoms Related to Restless Legs Syndrome
por: Lin, Shih-Wei, et al.
Publicado: (2013)