activity
20182022
most citedHuman Activity Recognition with Convolutional Neural Netowrks

85 citations · 87 across the 4 of their papers we have counts for

collaborators

5 papers

q-bio.QM2022

Classification of cow diet based on milk mid infrared spectra: a data analysis competition at the "International workshop of spectroscopy and chemometrics 2022"

Maria Frizzarin, Giulio Visentin, Alessandro Ferragina +14

In April 2022, the Vistamilk SFI Research Centre organized the second edition of the "International Workshop on Spectroscopy and Chemometrics - Applications in Food and Agriculture…

cs.CV20221 cited

Fast and Robust Video-Based Exercise Classification via Body Pose Tracking and Scalable Multivariate Time Series Classifiers

Ashish Singh, Antonio Bevilacqua, Thach Le Nguyen +6

Technological advancements have spurred the usage of machine learning based applications in sports science. Physiotherapists, sports coaches and athletes actively look to incorpora…

eess.SP20221 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.LG201985 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

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…