activity
20172026
most citedPattern Recognition Techniques for the Identification of Activities of Daily Living using Mobile Device Accelerometer

1 citations · 1 across the 7 of their papers we have counts for

collaborators

8 papers

physics.geo-ph2026

ANADEF: A Nested-Permutation Alarm for Dual-Parameter Earthquake Forecasting

Hamzeh Mohammadigheymasi, Muhammed Hossein Mousavi, Nuno Pombo

Spatially resolved stress proxies and rate-based seismicity models are increasingly combined for regional earthquake forecasting, yet formally testing their non-redundancy remains…

cs.NE2023

A Cluster-Based Opposition Differential Evolution Algorithm Boosted by a Local Search for ECG Signal Classification

Mehran Pourvahab, Seyed Jalaleddin Mousavirad, Virginie Felizardo +6

Electrocardiogram (ECG) signals, which capture the heart's electrical activity, are used to diagnose and monitor cardiac problems. The accurate classification of ECG signals, parti…

cs.NI2020

Identifying Packet Loss and Reordering Packets in Keyed UDP Transmissions

Fábio Machado Gil, Nuno M. Garcia, Bárbara Matos +3

The User Datagram Protocol (UDP) and other similar protocols send the application data from the source machine to the destination machine inside segments, without foreseeing nor al…

cs.LG2019

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…

cs.CY2017

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…

cs.CY2017

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…

cs.SD2017

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…

cs.CY2017★ 1 cited

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…