publication . Conference object . Other literature type . 2017

Short-term Recognition of Human Activities using Convolutional Neural Networks

M.Papakostas; T. Giannakopoulos; F. Makedon; V. Karkaletsis;
Open Access
  • Published: 10 Mar 2017
Abstract
This paper proposes a deep learning classification method for frame-wise recognition of human activities, using raw color (RGB) information. In particular, we present a Convolutional Neural Network (CNN) classification approach for recognising three basic motion activity classes, that cover the vast majority of human activities in the context of a home monitoring environment, namely: sitting, walking and standing up. A real-world fully annotated dataset has been compiled, in the context of an assisted living home environment. Through extensive experimentation we have highlighted the benefits of deep learning architectures against traditional shallow classifiers ...
Funded by
EC| RADIO
Project
RADIO
Robots in assisted living environments: Unobtrusive, efficient, reliable and modular solutions for independent ageing
  • Funder: European Commission (EC)
  • Project Code: 643892
  • Funding stream: H2020 | RIA
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Conference object . 2017
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Other literature type . 2017
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publication . Conference object . Other literature type . 2017

Short-term Recognition of Human Activities using Convolutional Neural Networks

M.Papakostas; T. Giannakopoulos; F. Makedon; V. Karkaletsis;