activity
20182022
most citedOnline Feature Selection for Activity Recognition using Reinforcement Learning with Multiple Feedback

8 citations · 13 across the 5 of their papers we have counts for

collaborators

5 papers

cs.NI2022

BlueTiSCH: A Multi-PHY Simulation of Low-Power 6TiSCH IoT Networks

Chloe Bae, Shiwen Yang, Michael Baddeley +2

Low-power wireless IoT networks have traditionally operated over a single physical layer (PHY) -- many based on the IEEE 802.15.4 standard. However, recent low-power wireless chips…

cs.NI2021

TSCH Evaluation under heterogeneous Mobile Scenarios

Charalampos Orfanidis, Atis Elsts, Paul Pop +1

Time Slotted Channel Hopping (TSCH) is a medium access protocol defined in the IEEE 802.15.4 standard. It has been demonstrated to be one of the most reliable options when it comes…

cs.HC2020★ 3 cited

Automated Quality Assessment of Hand Washing Using Deep Learning

Maksims Ivanovs, Roberts Kadikis, Martins Lulla +2

Washing hands is one of the most important ways to prevent infectious diseases, including COVID-19. Unfortunately, medical staff does not always follow the World Health Organizatio…

cs.LG2019★ 8 cited

Online Feature Selection for Activity Recognition using Reinforcement Learning with Multiple Feedback

Taku Yamagata, Raúl Santos-Rodríguez, Ryan McConville +1

Recent advances in both machine learning and Internet-of-Things have attracted attention to automatic Activity Recognition, where users wear a device with sensors and their outputs…

cs.OH2018★ 2 cited

A Guide to the SPHERE 100 Homes Study Dataset

Atis Elsts, Tilo Burghardt, Dallan Byrne +18

The SPHERE project has developed a multi-modal sensor platform for health and behavior monitoring in residential environments. So far, the SPHERE platform has been deployed for dat…