{"_id":"ChjEfHz9zmQhf5yvS","bibbaseid":"suutalajpirttikangass-rejectoptionallvqbasedtwolevelclassifiertoimprovereliabilityinfootstepidentification-2004","authorIDs":[],"author_short":["Suutala J Pirttikangas S, R., J., &., R., J."],"bibdata":{"title":"Reject-optional LVQ-based two-level classifier to improve reliability in footstep identification.","type":"inProceedings","year":"2004","pages":"182-187","publisher":"Proc. Second International Conference on Pervasive Computing (PERVASIVE 2004), Linz / Vienna, Austria","id":"eefa2ede-d51a-3136-bcc2-005701b91660","created":"2019-11-19T13:00:43.262Z","file_attached":false,"profile_id":"bddcf02d-403b-3b06-9def-6d15cc293e20","group_id":"17585b85-df99-3a34-98c2-c73e593397d7","last_modified":"2019-11-19T13:46:12.530Z","read":false,"starred":false,"authored":false,"confirmed":"true","hidden":false,"citation_key":"isg:485","source_type":"inproceedings","private_publication":false,"abstract":"This paper reports experiments of recognizing walkers based on measurements with a pressure-sensitive EMFi-floor. Identification is based on a twolevel classifier system. The first level performs Learning Vector Quantization (LVQ) with a reject option to identify or to reject a single footstep. The second level classifies or rejects a sequence of three consecutive identified footsteps based on the knowledge from the first level. The system was able to reduce classification error compared to a single footstep classifier without a reject option. The results show a 90% overall success rate with a 20% rejection rate, identifying eleven walkers, which can be considered very reliable.","bibtype":"inProceedings","author":"Suutala J Pirttikangas S, Riekki J & Röning J","bibtex":"@inProceedings{\n title = {Reject-optional LVQ-based two-level classifier to improve reliability in footstep identification.},\n type = {inProceedings},\n year = {2004},\n pages = {182-187},\n publisher = {Proc. Second International Conference on Pervasive Computing (PERVASIVE 2004), Linz / Vienna, Austria},\n id = {eefa2ede-d51a-3136-bcc2-005701b91660},\n created = {2019-11-19T13:00:43.262Z},\n file_attached = {false},\n profile_id = {bddcf02d-403b-3b06-9def-6d15cc293e20},\n group_id = {17585b85-df99-3a34-98c2-c73e593397d7},\n last_modified = {2019-11-19T13:46:12.530Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {isg:485},\n source_type = {inproceedings},\n private_publication = {false},\n abstract = {This paper reports experiments of recognizing walkers based on measurements with a pressure-sensitive EMFi-floor. Identification is based on a twolevel classifier system. The first level performs Learning Vector Quantization (LVQ) with a reject option to identify or to reject a single footstep. The second level classifies or rejects a sequence of three consecutive identified footsteps based on the knowledge from the first level. The system was able to reduce classification error compared to a single footstep classifier without a reject option. The results show a 90% overall success rate with a 20% rejection rate, identifying eleven walkers, which can be considered very reliable.},\n bibtype = {inProceedings},\n author = {Suutala J Pirttikangas S, Riekki J & Röning J}\n}","author_short":["Suutala J Pirttikangas S, R., J., &., R., J."],"bibbaseid":"suutalajpirttikangass-rejectoptionallvqbasedtwolevelclassifiertoimprovereliabilityinfootstepidentification-2004","role":"author","urls":{},"downloads":0},"bibtype":"inProceedings","creationDate":"2019-11-19T13:17:06.092Z","downloads":0,"keywords":[],"search_terms":["reject","optional","lvq","based","two","level","classifier","improve","reliability","footstep","identification","suutala j pirttikangas s"],"title":"Reject-optional LVQ-based two-level classifier to improve reliability in footstep identification.","year":2004}