Homogeneous Data Normalization and Deep Learning: A Case Study in Human Activity Classification
One class of applications for human activity recognition methods is found in mobile devices for monitoring older adults and people with special needs. Recently, many studies were performed to create intelligent methods for the recognition of human activities. However, the different mobile devices in...
Main Authors: | Ivan Miguel Pires, Faisal Hussain, Nuno M. Garcia, Petre Lameski, Eftim Zdravevski |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-11-01
|
Series: | Future Internet |
Subjects: | |
Online Access: | https://www.mdpi.com/1999-5903/12/11/194 |
Similar Items
-
Improving Human Activity Monitoring by Imputation of Missing Sensory Data: Experimental Study
by: Ivan Miguel Pires, et al.
Published: (2020-09-01) -
Indoor and outdoor environmental data: A dataset with acoustic data acquired by the microphone embedded on mobile devices
by: Ivan Miguel Pires, et al.
Published: (2021-06-01) -
Activities of daily living with motion: A dataset with accelerometer, magnetometer and gyroscope data from mobile devices
by: Ivan Miguel Pires, et al.
Published: (2020-12-01) -
Literature on Applied Machine Learning in Metagenomic Classification: A Scoping Review
by: Petar Tonkovic, et al.
Published: (2020-12-01) -
Analysis of the Results of Heel-Rise Test with Sensors: A Systematic Review
by: Ivan Miguel Pires, et al.
Published: (2020-07-01)