dc.contributor.author | Ciliberto, M | en_US |
dc.contributor.author | WANG, L | en_US |
dc.contributor.author | Roggen, D | en_US |
dc.contributor.author | Zillmer, R | en_US |
dc.contributor.author | Ubicomp 2018 | en_US |
dc.date.accessioned | 2018-11-09T10:25:29Z | |
dc.date.available | 2018-08-15 | en_US |
dc.date.submitted | 2018-10-16T16:28:49.044Z | |
dc.identifier.uri | http://qmro.qmul.ac.uk/xmlui/handle/123456789/49727 | |
dc.description.abstract | In this paper we present a case study on drinking gesture recognition from a dataset annotated by Experience Sampling (ES). The dataset contains 8825 "sensor events" and users reported 1808 "drink events" through experience sampling. We first show that the annotations obtained through ES do not reflect accurately true drinking events. We present then how we maximise the value of this dataset through two approaches aiming at improving the quality of the annotations post-hoc. First, we use template-matching (Warping Longest Common Subsequence) to spot a subset of events which are highly likely to be drinking gestures. We then propose an unsupervised approach which can perform drinking gesture recognition by combining K-Means clustering with WLCSS. Experimental results verify the effectiveness of the proposed method. | en_US |
dc.format.extent | 1434 - 1443 | en_US |
dc.publisher | ACM | en_US |
dc.rights | This is a pre-copyedited, author-produced version of an article accepted for publication in Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers following peer review. The version of record is available https://dl.acm.org/citation.cfm?id=3267508 | |
dc.title | A case study for human gestures recognition from poorly annotated data | en_US |
dc.type | Conference Proceeding | |
dc.rights.holder | Copyright © 2018 ACM, Inc. | |
dc.identifier.doi | 10.1145/3267305.3267508 | en_US |
pubs.notes | Not known | en_US |
pubs.publication-status | Accepted | en_US |
dcterms.dateAccepted | 2018-08-15 | en_US |