{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,8]],"date-time":"2026-01-08T21:14:33Z","timestamp":1767906873813,"version":"3.49.0"},"publisher-location":"Cham","reference-count":26,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783319501147","type":"print"},{"value":"9783319501154","type":"electronic"}],"license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017]]},"DOI":"10.1007\/978-3-319-50115-4_73","type":"book-chapter","created":{"date-parts":[[2017,3,20]],"date-time":"2017-03-20T03:32:46Z","timestamp":1489980766000},"page":"841-852","source":"Crossref","is-referenced-by-count":6,"title":["Recognizing Unfamiliar Gestures for Human-Robot Interaction Through Zero-Shot Learning"],"prefix":"10.1007","author":[{"given":"Wil","family":"Thomason","sequence":"first","affiliation":[]},{"given":"Ross A.","family":"Knepper","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2017,3,21]]},"reference":[{"key":"73_CR1","unstructured":"Artzi, Y., Zettlemoyer, L.: UW SPF: The University of Washington Semantic Parsing Framework (2013)"},{"key":"73_CR2","doi-asserted-by":"publisher","unstructured":"Chen, Q., Georganas, N.D., Petriu, E.M.: Real-time vision-based hand gesture recognition using haar-like features. In: Instrumentation and Measurement Technology Conference Proceedings, IMTC 2007, pp. 1\u20136. IEEE, May 2007. doi:\n10.1109\/IMTC.2007.379068","DOI":"10.1109\/IMTC.2007.379068"},{"key":"73_CR3","unstructured":"Eldon, M., Whitney, D., Tellex, S.: Interpreting Multimodal Referring Expressions in Real Time (2015). \nhttps:\/\/edge.edx.org\/assetv1:Brown+CSCI2951-K+2015_T2+type@asset+block@eldon15.pdf"},{"key":"73_CR4","doi-asserted-by":"publisher","unstructured":"Escalera, S., et al.: Chalearn multi-modal gesture recognition 2013: grand challenge and workshop summary. In: Proceedings of the 15th ACM on International Conference on Multimodal Interaction, pp. 365\u2013368. ACM (2013)","DOI":"10.1145\/2522848.2532597"},{"key":"73_CR5","doi-asserted-by":"publisher","unstructured":"Escalera, S., et al.: Multi-modal gesture recognition challenge 2013: dataset and results. In: Proceedings of the 15th ACM on International Conference on Multimodal Interaction, pp. 445\u2013452. ACM (2013)","DOI":"10.1145\/2522848.2532595"},{"key":"73_CR6","doi-asserted-by":"publisher","unstructured":"Gawron, P., et al.: Eigengestures for natural human computer interface. \narXiv:1105.1293\n\n [cs] 103, pp. 49\u201356 (2011). doi:\n10.1007\/978-3-642-23169-8_6\n\n, \nhttp:\/\/arxiv.org\/abs\/1105.1293\n\n. Accessed 29 Oct 2015","DOI":"10.1007\/978-3-642-23169-8_6"},{"key":"73_CR7","doi-asserted-by":"publisher","unstructured":"Ge, S.S., Yang, Y., Lee, T.H.: Hand gesture recognition and tracking based on distributed locally linear embedding. Image Vis. Comput. 26(12), 1607\u20131620 (2008). ISSN: 0262-8856. doi:\n10.1016\/j.imavis.2008.03.004\n\n, \nhttp:\/\/www.sciencedirect.com\/science\/article\/pii\/S0262885608000693\n\n. Accessed 18 Nov 2015","DOI":"10.1016\/j.imavis.2008.03.004"},{"key":"73_CR8","doi-asserted-by":"publisher","unstructured":"Guyon, I., et al.: The ChaLearn gesture dataset (CGD 2011). Mach. Vis. Appl. 25(8), 1929\u20131951 (2014). ISSN 0932-8092, 1432-1769. doi:\n10.1007\/s00138-014-0596-3\n\n, \nhttp:\/\/link.springer.com\/article\/10.1007\/s00138-014-0596-3\n\n. Accessed 02 Mar 2016","DOI":"10.1007\/s00138-014-0596-3"},{"key":"73_CR9","doi-asserted-by":"publisher","unstructured":"Huang, C.-M., Mutlu, B.: Modeling and evaluating narrative gestures for humanlike robots. In: Robotics: Science and Systems (2013)","DOI":"10.15607\/RSS.2013.IX.026"},{"key":"73_CR10","unstructured":"Jetley, S., et al.: Prototypical Priors: From Improving Classification to Zero- Shot Learning. \narXiv:1512.01192\n\n [cs] (3 December 2015). \nhttp:\/\/arxiv.org\/abs\/1512.01192\n\n. Accessed 29 Jan 2016"},{"key":"73_CR11","doi-asserted-by":"publisher","first-page":"11","DOI":"10.1108\/eb026526","volume":"28","author":"KS Jones","year":"1972","unstructured":"Jones, K.S.: A statistical interpretation of term specificity and its application in retrieval. J. Documentation 28, 11\u201321 (1972)","journal-title":"J. Documentation"},{"key":"73_CR12","unstructured":"Kollar, T., et al.: Generalized grounding graphs: a probabilistic framework for understanding grounded language. In: JAIR (2013). \nhttps:\/\/people.csail.mit.edu\/sachih\/home\/wp-content\/uploads\/2014\/04\/G3_JAIR.pdf"},{"key":"73_CR13","doi-asserted-by":"publisher","unstructured":"Kondo, Y.: Body gesture classification based on bag-of-features in frequency domain of motion. In: 2012 IEEE RO-MAN, pp. 386\u2013391 (2012). doi:\n10.1109\/ROMAN.2012.6343783","DOI":"10.1109\/ROMAN.2012.6343783"},{"key":"73_CR14","doi-asserted-by":"publisher","unstructured":"Luo, D., Ohya, J.: Study on human gesture recognition from moving camera images. In: 2010 IEEE International Conference on Multimedia and Expo (ICME), pp. 274\u2013279, July 2010. doi:\n10.1109\/ICME.2010.5582998","DOI":"10.1109\/ICME.2010.5582998"},{"key":"73_CR15","unstructured":"Mikolov, T., et al.: Efficient Estimation of Word Representations in Vector Space. \narXiv:1301.3781\n\n [cs] (16 January 2013). \narXiv:1301.3781\n\n, \nhttp:\/\/arxiv.org\/abs\/1301.3781\n\n. Accessed 30 Mar 2016"},{"key":"73_CR16","unstructured":"Palatucci, M., et al.: Zero-shot learning with semantic output codes. In: Neural Information Processing Systems (NIPS), December 2009"},{"key":"73_CR17","doi-asserted-by":"publisher","unstructured":"Saupp\u00e9, A., Mutlu, B.: Robot deictics: how gesture and context shape referential communication. In: Proceedings of the 2014 ACM\/IEEE International Conference on Human-robot Interaction, HRI 2014, New York, NY, USA, pp. 342\u2013349. ACM (2014). ISBN 978-1-4503-2658-2. doi:\n10.1145\/2559636.2559657\n\n, \nhttp:\/\/doi.acm.org\/10.1145\/2559636.2559657\n\n. Accessed 19 Nov 2015","DOI":"10.1145\/2559636.2559657"},{"key":"73_CR18","unstructured":"Segers, V., Connan, J.: Real-time gesture recognition using eigenvectors (2009). \nhttp:\/\/www.cs.uwc.ac.za\/~jconnan\/publications\/Paper%2056%20-%20Segers.pdf"},{"key":"73_CR19","unstructured":"Socher, R., et al.: Zero-Shot Learning Through Cross-Modal Transfer. \narXiv: 1301.3666\n\n [cs] (16 January 2013). \narXiv:1301.3666\n\n, \nhttp:\/\/arxiv.org\/abs\/1301.3666\n\n. Accessed 25 Jan 2016"},{"key":"73_CR20","doi-asserted-by":"publisher","first-page":"35","DOI":"10.1016\/j.robot.2014.11.020","volume":"66","author":"W Takano","year":"2015","unstructured":"Takano, W., Hamano, S., Nakamura, Y.: Correlated space formation for human whole-body motion primitives and descriptive word labels. Rob. Auton. Syst. 66, 35\u201343 (2015)","journal-title":"Rob. Auton. Syst."},{"key":"73_CR21","doi-asserted-by":"publisher","unstructured":"Mahbub, U., Imtiaz, H.: One-Shot-Learning Gesture Recognition Using Motion History Based Gesture Silhouettes (2013). doi:\n10.12792\/iciae2013","DOI":"10.12792\/iciae2013"},{"key":"73_CR22","unstructured":"Wan, J., et al.: One-shot learning gesture recognition from RGB-D data using bag of features. J. Mach. Learn. Res. 14(1), 2549\u20132582 (2013). ISSN 1532-4435. \nhttp:\/\/dl.acm.org\/citation.cfm?id=2567709.2567743\n\n. Accessed 25 Jan 2016"},{"key":"73_CR23","doi-asserted-by":"publisher","unstructured":"Di, W., Zhu, F., Shao, L.: One shot learning gesture recognition from RGBD images. In: 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), pp. 7\u201312. doi:\n10.1109\/CVPRW.2012.6239179\n\n, June 2012","DOI":"10.1109\/CVPRW.2012.6239179"},{"key":"73_CR24","doi-asserted-by":"publisher","unstructured":"Wu, J.: Fusing multi-modal features for gesture recognition. In: Proceedings of the 15th ACM on International Conference on Multimodal Interaction, ICMI 2013, New York, NY, USA, pp. 453\u2013460. ACM (2013). ISBN 978-1-4503-2129-7. doi:\n10.1145\/2522848.2532589\n\n, \nhttp:\/\/doi.acm.org\/10.1145\/2522848.2532589\n\n. Accessed 31 Mar 2016","DOI":"10.1145\/2522848.2532589"},{"key":"73_CR25","doi-asserted-by":"publisher","unstructured":"Yin, Y., Davis, R.: Gesture spotting and recognition using salience detection and concatenated hidden Markov models. In: Proceedings of the 15th ACM on International Conference on Multimodal Interaction, ICMI 2013, New York, NY, USA, pp. 489\u2013494. ACM (2013). ISBN: 978-1-4503-2129-7. doi:\n10.1145\/2522848.2532588\n\n, \nhttp:\/\/doi.acm.org\/10.1145\/2522848.2532588\n\n. Accessed 22 Jan 2016","DOI":"10.1145\/2522848.2532588"},{"key":"73_CR26","doi-asserted-by":"publisher","unstructured":"Zhou, Y., et al.: Kernel-based sparse representation for gesture recognition. Pattern Recogn. 46(12), 3208\u20133222 (2013). ISSN 0031-3203. doi:\n10.1016\/j.patcog.2013.06.007\n\n, \nhttp:\/\/dx.doi.org\/10.1016\/j.patcog.2013\n\n. Accessed 29 Jan 2016","DOI":"10.1016\/j.patcog.2013.06.007"}],"container-title":["Springer Proceedings in Advanced Robotics","2016 International Symposium on Experimental Robotics"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-50115-4_73","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2017,4,18]],"date-time":"2017-04-18T10:05:22Z","timestamp":1492509922000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-50115-4_73"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9783319501147","9783319501154"],"references-count":26,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-50115-4_73","relation":{},"ISSN":["2511-1256","2511-1264"],"issn-type":[{"value":"2511-1256","type":"print"},{"value":"2511-1264","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017]]}}}