%0 Conference Proceedings
%T Human activity recognition using recurrent neural networks
%+ Austrian Institute of Technology [Vienna] (AIT)
%+ Machine Learning and Computational Biology (ABC)
%+ De Monfort University
%+ CentraleSupélec
%+ Medical University Graz
%A Singh, Deepika
%A Merdivan, Erinc
%A Psychoula, Ismini
%A Kropf, Johannes
%A Hanke, Sten
%A Geist, Matthieu
%A Holzinger, Andreas
%Z Part 5: MAKE AAL
%< avec comité de lecture
%( Lecture Notes in Computer Science
%B 1st International Cross-Domain Conference for Machine Learning and Knowledge Extraction (CD-MAKE)
%C Reggio, Italy
%Y Andreas Holzinger
%Y Peter Kieseberg
%Y A Min Tjoa
%Y Edgar Weippl
%I Springer International Publishing
%3 Machine Learning and Knowledge Extraction
%V LNCS-10410
%P 267-274
%8 2017-08-29
%D 2017
%R 10.1007/978-3-319-66808-6_18
%K LSTM
%K ambient assisted living
%K sensors
%K human activity recogni- tion
%K deep learning
%K machine learning
%Z Statistics [stat]/Machine Learning [stat.ML]Conference papers
%X Human activity recognition using smart home sensors is one of the bases of ubiquitous computing in smart environments and a topic undergoing intense research in the field of ambient assisted living. The increasingly large amount of data sets calls for machine learning methods. In this paper, we introduce a deep learning model that learns to classify human activities without using any prior knowledge. For this purpose, a Long Short Term Memory (LSTM) Recurrent Neural Network was applied to three real world smart home datasets. The results of these experiments show that the proposed approach outperforms the existing ones in terms of accuracy and performance.
%G English
%Z TC 5
%Z TC 8
%Z TC 12
%Z WG 8.4
%Z WG 8.9
%Z WG 12.9
%2 https://hal.science/hal-01629704/document
%2 https://hal.science/hal-01629704/file/456304_1_En_18_Chapter.pdf
%L hal-01629704
%U https://hal.science/hal-01629704
%~ CNRS
%~ INRIA
%~ LORIA2
%~ IFIP-LNCS
%~ IFIP
%~ CENTRALESUPELEC
%~ UNIV-LORRAINE
%~ IFIP-TC
%~ LORIA-ALGO-TEST5
%~ IFIP-WG
%~ IFIP-TC12
%~ IFIP-TC8
%~ LORIA
%~ LORIA-ALGO
%~ IFIP-WG8-4
%~ IFIP-WG8-9
%~ UNIV-PARIS-SACLAY
%~ CENTRALESUPELEC-SACLAY
%~ INRIA2017
%~ IFIP-LNCS-10410
%~ IFIP-CD-MAKE
%~ IFIP-WG12-9
%~ INRIA-AUT