000167935 001__ 167935
000167935 005__ 20190812205534.0
000167935 020__ $$a978-1-4577-0653-0
000167935 02470 $$2ISI$$a000298615100007
000167935 037__ $$aCONF
000167935 245__ $$aBenchmarking classification techniques using the Opportunity human activity dataset
000167935 269__ $$a2011
000167935 260__ $$bIeee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa$$c2011
000167935 336__ $$aConference Papers
000167935 490__ $$aIEEE International Conference on Systems Man and Cybernetics Conference Proceedings
000167935 520__ $$aHuman activity recognition is a thriving research field. There are lots of studies in different sub-areas of activity recognition proposing different methods. However, unlike other applications, there is lack of established benchmarking problems for activity recognition. Typically, each research group tests and reports the performance of their algorithms on their own datasets using experimental setups specially conceived for that specific purpose. In this work, we introduce a versatile human activity dataset conceived to fill that void. We illustrate its use by presenting comparative results of different classification techniques, and discuss about several metrics that can be used to assess their performance. Being an initial benchmarking, we expect that the possibility to replicate and outperform the presented results will contribute to further advances in state-of-the-art methods.
000167935 6531_ $$aHuman activity recognition
000167935 6531_ $$aBenchmark
000167935 6531_ $$aBody sensors networks
000167935 6531_ $$aOpportunity dataset
000167935 700__ $$0242182$$g191533$$aSagha, Hesam
000167935 700__ $$aDigumarti, Sundara Tejaswi
000167935 700__ $$0240030$$g149175$$aMillán, José del R.
000167935 700__ $$0241256$$g137762$$aChavarriaga, Ricardo
000167935 700__ $$aCalatroni, Alberto
000167935 700__ $$aRoggen, Daniel
000167935 700__ $$aTröster, Gerhard
000167935 7112_ $$dOctober 9-12, 2011$$cAnchorage, AK, USA$$aIEEE International Conference on Systems, Man, and Cybernetics
000167935 773__ $$t2011 Ieee International Conference On Systems, Man, And Cybernetics (Smc)$$q36-40
000167935 8564_ $$zn/a$$yn/a$$uhttps://infoscience.epfl.ch/record/167935/files/IEEESMC2011.pdf$$s1249881
000167935 909C0 $$xU12103$$pCNBI$$0252018
000167935 909C0 $$0252517$$xU12599$$pCNP
000167935 909CO $$qGLOBAL_SET$$pconf$$pSTI$$ooai:infoscience.tind.io:167935
000167935 917Z8 $$x191533
000167935 917Z8 $$x191533
000167935 917Z8 $$x137762
000167935 937__ $$aEPFL-CONF-167935
000167935 973__ $$rREVIEWED$$sPUBLISHED$$aEPFL
000167935 980__ $$aCONF