1 citations · 1 across the 5 of their papers we have counts for
6 papers
An Efficient Data Imputation Technique for Human Activity Recognition
Ivan Miguel Pires, Faisal Hussain, Nuno M. Garcia +1
The tremendous applications of human activity recognition are surging its span from health monitoring systems to virtual reality applications. Thus, the automatic recognition of da…
An Efficient Machine Learning-based Elderly Fall Detection Algorithm
Faisal Hussain, Muhammad Basit Umair, Muhammad Ehatisham-ul-Haq +4
Falling is a commonly occurring mishap with elderly people, which may cause serious injuries. Thus, rapid fall detection is very important in order to mitigate the severe effects o…
A Multiple Data Source Framework for the Identification of Activities of Daily Living Based on Mobile Device Data
Ivan Miguel Pires, Nuno M. Garcia, Nuno Pombo +4
Most mobile devices include motion, magnetic, acoustic, and location sensors. They allow the implementation of a framework for the recognition of Activities of Daily Living (ADL) a…
Data Fusion on Motion and Magnetic Sensors embedded on Mobile Devices for the Identification of Activities of Daily Living
Ivan Miguel Pires, Nuno M. Garcia, Nuno Pombo +2
Several types of sensors have been available in off-the-shelf mobile devices, including motion, magnetic, vision, acoustic, and location sensors. This paper focuses on the fusion o…
User Environment Detection with Acoustic Sensors Embedded on Mobile Devices for the Recognition of Activities of Daily Living
Ivan Miguel Pires, Nuno M. Garcia, Nuno Pombo +1
The detection of the environment where user is located, is of extreme use for the identification of Activities of Daily Living (ADL). ADL can be identified by use of the sensors av…
Pattern Recognition Techniques for the Identification of Activities of Daily Living using Mobile Device Accelerometer
Ivan Miguel Pires, Nuno M. Garcia, Nuno Pombo +2
This paper focuses on the recognition of Activities of Daily Living (ADL) applying pattern recognition techniques to the data acquired by the accelerometer available in the mobile…