A Novel Wearable Sensor-Based Human Activity Recognition Approach Using Artificial Hydrocarbon Networks
Human activity recognition has gained more interest in several research communities given that understanding user activities and behavior helps to deliver proactive and personalized services. There are many examples of health systems improved by human activity recognition. Nevertheless, the human ac...
Main Authors: | Hiram Ponce, María de Lourdes Martínez-Villaseñor, Luis Miralles-Pechuán |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2016-07-01
|
Series: | Sensors |
Subjects: | |
Online Access: | http://www.mdpi.com/1424-8220/16/7/1033 |
Similar Items
-
A Flexible Approach for Human Activity Recognition Using Artificial Hydrocarbon Networks
by: Hiram Ponce, et al.
Published: (2016-10-01) -
Optimal Recognition Method of Human Activities Using Artificial Neural Networks
by: Oniga Stefan, et al.
Published: (2015-12-01) -
Context-based Human Activity Recognition Using Multimodal Wearable Sensors
by: Bharti, Pratool
Published: (2017) -
Neural network fault diagnosis. Part II: flow recognition
by: Enrique Eduardo Tarifa, et al.
Published: (2007-05-01) -
Fault diagnosis with neural networks. Part 1: Trajectory recognition
by: Enrique Eduardo Tarifa, et al.
Published: (2007-01-01)