Cargando…
Abnormal Activity Detection Using Pyroelectric Infrared Sensors
Healthy aging is one of the most important social issues. In this paper, we propose a method for abnormal activity detection without any manual labeling of the training samples. By leveraging the Field of View (FOV) modulation, the spatio-temporal characteristic of human activity is encoded into low...
Autores principales: | Luo, Xiaomu, Tan, Huoyuan, Guan, Qiuju, Liu, Tong, Zhuo, Hankz Hankui, Shen, Baihua |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4934248/ https://www.ncbi.nlm.nih.gov/pubmed/27271632 http://dx.doi.org/10.3390/s16060822 |
Ejemplares similares
-
Simultaneous Indoor Tracking and Activity Recognition Using Pyroelectric Infrared Sensors
por: Luo, Xiaomu, et al.
Publicado: (2017) -
Human Movement Detection and Idengification Using Pyroelectric Infrared Sensors
por: Yun, Jaeseok, et al.
Publicado: (2014) -
An On‐Chip Quad‐Wavelength Pyroelectric Sensor for Spectroscopic Infrared Sensing
por: Dao, Thang Duy, et al.
Publicado: (2019) -
Research on the Multiple Factors Influencing Human Identification Based on Pyroelectric Infrared Sensors
por: Yan, Junwei, et al.
Publicado: (2018) -
Multi-Frequency Band Pyroelectric Sensors
por: Hsiao, Chun-Ching, et al.
Publicado: (2014)