publication . Conference object . Other literature type . 2019

A Weighted Late Fusion Framework for Recognizing Human Activity from Wearable Sensors

Athina Tsanousa; Stefanos Vrochidis; Ioannis Kompatsiaris; Georgios Meditskos;
Open Access
  • Published: 15 Jul 2019
Abstract
Following the technological advancement and the<br> constantly emerging assisted living applications, sensor-based activity<br> recognition research receives great attention. Until recently,<br> the majority of relevant research involved extracting knowledge<br> out of single modalities, however, when individual sensors performances<br> are not satisfactory, combining information from multiple<br> sensors can be of use and improve the activity recognition rate.<br> Early and late fusion classifier strategies are usually employed<br> to successfully merge multiple sensors. This paper proposes a<br> novel framework for combining accelerometers and gyroscopes<br> a...
Subjects
free text keywords: Technological advance, Modalities, Wearable computer, Activity recognition, Gyroscope, law.invention, law, Classifier (linguistics), Artificial intelligence, business.industry, business, Fusion, Accelerometer, Machine learning, computer.software_genre, computer, Computer science
Download fromView all 4 versions
ZENODO
Conference object . 2019
Provider: ZENODO
Zenodo
Other literature type . 2019
Provider: Datacite
Zenodo
Other literature type . 2019
Provider: Datacite
Any information missing or wrong?Report an Issue