activity
20172022
most citedHuman Activity Recognition with Convolutional Neural Netowrks

85 citations · 140 across the 5 of their papers we have counts for

collaborators

5 papers

eess.SP2022★ 1 cited

Automated Mobility Context Detection with Inertial Signals

Antonio Bevilacqua, Lisa Alcock, Brian Caulfield +4

Remote monitoring of motor functions is a powerful approach for health assessment, especially among the elderly population or among subjects affected by pathologies that negatively…

cs.LG2019★ 85 cited

Human Activity Recognition with Convolutional Neural Netowrks

Antonio Bevilacqua, Kyle MacDonald, Aamina Rangarej +3

The problem of automatic identification of physical activities performed by human subjects is referred to as Human Activity Recognition (HAR). There exist several techniques to mea…

cs.HC2018★ 31 cited

Automatic Classification of Knee Rehabilitation Exercises Using a Single Inertial Sensor: a Case Study

Antonio Bevilacqua, Bingquan Huang, Rob Argent +2

Inertial measurement units have the ability to accurately record the acceleration and angular velocity of human limb segments during discrete joint movements. These movements are c…

cs.HC2017

Behavioural Change Support Intelligent Transportation Applications

Efthimios Bothos, Babis Magoutas, Brian Caulfield +4

This workshop invites researchers and practitioners to participate in exploring behavioral change support intelligent transportation applications. We welcome submissions that explo…

cs.HC2017★ 23 cited

Connected Health in Multiple Sclerosis: a mobile applications review

Guido Giunti, Estefania Guisado-Fernandez, Brian Caulfield

Multiple Sclerosis (MS) is an unpredictable, often disabling disease that can adversely affect any body function; this often requires persons with MS to be active patients who are…