An Efficient Data Imputation Technique for Human Activity Recognition

no code implementations • 8 Jul 2020 • Ivan Miguel Pires, Faisal Hussain, Nuno M. Garcia, Eftim Zdravevski

However, the performance of machine learning models in activity recognition is crucially affected when there are incomplete activities in a dataset, i. e., having missing samples in dataset captures.

BIG-bench Machine Learning Human Activity Recognition +1

An Efficient Machine Learning-based Elderly Fall Detection Algorithm

no code implementations • 27 Nov 2019 • Faisal Hussain, Muhammad Basit Umair, Muhammad Ehatisham-ul-Haq, Ivan Miguel Pires, Tânia Valente, Nuno M. Garcia, Nuno Pombo

Falling is a commonly occurring mishap with elderly people, which may cause serious injuries.

BIG-bench Machine Learning Specificity

Data Fusion on Motion and Magnetic Sensors embedded on Mobile Devices for the Identification of Activities of Daily Living

no code implementations • 31 Oct 2017 • Ivan Miguel Pires, Nuno M. Garcia, Nuno Pombo, Francisco Flórez-Revuelta, Susanna Spinsante

Several types of sensors have been available in off-the-shelf mobile devices, including motion, magnetic, vision, acoustic, and location sensors.

L2 Regularization