{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T00:00:36Z","timestamp":1743120036925,"version":"3.40.3"},"publisher-location":"Cham","reference-count":13,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030377304"},{"type":"electronic","value":"9783030377311"}],"license":[{"start":{"date-parts":[[2019,12,24]],"date-time":"2019-12-24T00:00:00Z","timestamp":1577145600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-3-030-37731-1_20","type":"book-chapter","created":{"date-parts":[[2019,12,27]],"date-time":"2019-12-27T01:02:51Z","timestamp":1577408571000},"page":"239-250","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Automatic Material Classification Using Thermal Finger Impression"],"prefix":"10.1007","author":[{"given":"Jacob","family":"Gately","sequence":"first","affiliation":[]},{"given":"Ying","family":"Liang","sequence":"additional","affiliation":[]},{"given":"Matthew Kolessar","family":"Wright","sequence":"additional","affiliation":[]},{"given":"Natasha Kholgade","family":"Banerjee","sequence":"additional","affiliation":[]},{"given":"Sean","family":"Banerjee","sequence":"additional","affiliation":[]},{"given":"Soumyabrata","family":"Dey","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,12,24]]},"reference":[{"key":"20_CR1","doi-asserted-by":"publisher","unstructured":"Kurz, D.: Thermal touch: thermography-enabled everywhere touch interfaces for mobile augmented reality applications. In: 2014 IEEE International Symposium on Mixed and Augmented Reality, pp. 9\u201316. IEEE, Munich (2014). \nhttps:\/\/doi.org\/10.1109\/ISMAR.2014.6948403","DOI":"10.1109\/ISMAR.2014.6948403"},{"key":"20_CR2","doi-asserted-by":"crossref","unstructured":"Wilson, A.D.: Playanywhere: a compact interactive tabletop projection-vision system. In: Proceedings of the 18th Annual ACM Symposium on User Interface Software and Technology, pp. 83\u201392. ACM, New York (2005)","DOI":"10.1145\/1095034.1095047"},{"key":"20_CR3","doi-asserted-by":"publisher","unstructured":"Mistry, P., Maes, P.: Sixthsense: a wearable gestural interface. In: ACM SIGGRAPH ASIA 2009 Sketches, pp. 11. ACM, New York (2009). \nhttps:\/\/doi.org\/10.1145\/1667146.1667160","DOI":"10.1145\/1667146.1667160"},{"key":"20_CR4","unstructured":"Oka, K., Sato, Y., Koike, H.: Real-time tracking of multiple fingertips and gesture recognition for augmented desk interface systems. In: Proceedings of the Fifth IEEE International Conference on Automatic Face and Gesture Recognition, pp. 429\u2013434. IEEE Computer Society, Washington, DC (2002). \nhttp:\/\/dl.acm.org\/citation.cfm?id=874061.875437"},{"key":"20_CR5","doi-asserted-by":"publisher","unstructured":"Iwai, D., Sato, K.: Heat sensation in image creation with thermal vision. In: Proceedings of the 2005 ACM SIGCHI International Conference on Advances in Computer Entertainment Technology, pp. 213\u2013216. ACM, New York (2005). \nhttps:\/\/doi.org\/10.1145\/1178477.1178510","DOI":"10.1145\/1178477.1178510"},{"key":"20_CR6","doi-asserted-by":"publisher","unstructured":"Saba, E.N., Larson, E.C., Patel, S.N.: Dante vision: in-air and touch gesture sensing for natural surface interaction with combined depth and thermal cameras. In: 2012 IEEE International Conference on Emerging Signal Processing Applications. pp. 167\u2013170, IEEE, Las Vegas (2012). \nhttps:\/\/doi.org\/10.1109\/ESPA.2012.6152472","DOI":"10.1109\/ESPA.2012.6152472"},{"key":"20_CR7","doi-asserted-by":"publisher","unstructured":"Larson, E., et al.: HeatWave: thermal imaging for surface user interaction. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 2565\u20132574. ACM, New York (2011). \nhttps:\/\/doi.org\/10.1145\/1978942.1979317","DOI":"10.1145\/1978942.1979317"},{"key":"20_CR8","doi-asserted-by":"crossref","unstructured":"Dunn, T., Banerjee, S., Banerjee, N.K.: User-independent detection of swipe pressure using a thermal camera for natural surface interaction. In: 2018 IEEE 20th International Workshop on Multimedia Signal Processing, pp. 1\u20136. IEEE, Vancouver (2018)","DOI":"10.1109\/MMSP.2018.8547052"},{"key":"20_CR9","doi-asserted-by":"publisher","first-page":"13","DOI":"10.1016\/j.wasman.2017.09.019","volume":"70","author":"SP Gundupalli","year":"2017","unstructured":"Gundupalli, S.P., Hait, S., Thakur, A.: Multi-material classification of dry recyclables from municipal solid waste based on thermal imaging. J. Waste Manag. 70, 13\u201321 (2017)","journal-title":"J. Waste Manag."},{"key":"20_CR10","doi-asserted-by":"publisher","unstructured":"Cho, Y., Bianchi-Berthouze, N., Marquardt, N., Julier, S.J.: Deep thermal imaging: proximate material type recognition in the wild through deep learning of spatial surface temperature patterns. In: Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, pp. 1\u201313. ACM, Montreal (2018). \nhttps:\/\/doi.org\/10.1145\/3173574.3173576","DOI":"10.1145\/3173574.3173576"},{"key":"20_CR11","doi-asserted-by":"publisher","unstructured":"Aujeszky, T., Korres, G., Eid, M.: Thermography-based material classification using machine learning. In: 2017 IEEE International Symposium on Haptic, Audio and Visual Environments and Games, pp. 1\u20136. IEEE, Abu Dhabi (2017). \nhttps:\/\/doi.org\/10.1109\/HAVE.2017.8240344","DOI":"10.1109\/HAVE.2017.8240344"},{"key":"20_CR12","doi-asserted-by":"publisher","unstructured":"Bai, H., Bhattacharjee, T., Chen, H., Kapusta, A., Kemp, C.: Towards Material Classification of Scenes Using Active Thermography. In: 2018 IEEE\/RSJ International Conference on Intelligent Robots and Systems, pp. 4262\u20134269, IEEE, Madrid (2018). \nhttps:\/\/doi.org\/10.1109\/IROS.2018.8594469","DOI":"10.1109\/IROS.2018.8594469"},{"key":"20_CR13","volume-title":"The WEKA Workbench. Online Appendix for \u201cData Mining: Practical Machine Learning Tools and Techniques\u201d","author":"E Frank","year":"2016","unstructured":"Frank, E., Hall, M.A., Witten, I.H.: The WEKA Workbench. Online Appendix for \u201cData Mining: Practical Machine Learning Tools and Techniques\u201d. Morgan Kaufmann, Burlington (2016)"}],"container-title":["Lecture Notes in Computer Science","MultiMedia Modeling"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-37731-1_20","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,2,6]],"date-time":"2020-02-06T11:19:37Z","timestamp":1580987977000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-37731-1_20"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,12,24]]},"ISBN":["9783030377304","9783030377311"],"references-count":13,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-37731-1_20","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2019,12,24]]},"assertion":[{"value":"24 December 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"MMM","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Multimedia Modeling","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Daejeon","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Korea (Republic of)","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5 January 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8 January 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"mmm2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.mmm2020.kr\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"171","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"40","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"23% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"5","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Of the 171 submissions, 46 were accepted as poster papers; of the 49 special session paper submissions, 28 were accepted for oral presentation and 8 for poster presentation; 9 demo papers and 10 VBS papers were also accepted.","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}