activity
20182023
most citedHuman Activity Recognition with Convolutional Neural Netowrks

85 citations · 118 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2023

An Examination of Wearable Sensors and Video Data Capture for Human Exercise Classification

Ashish Singh, Antonio Bevilacqua, Timilehin B. Aderinola +5

Wearable sensors such as Inertial Measurement Units (IMUs) are often used to assess the performance of human exercise. Common approaches use handcrafted features based on domain ex…

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.CV2022★ 1 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.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…