{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T14:23:26Z","timestamp":1742912606236,"version":"3.40.3"},"publisher-location":"Cham","reference-count":25,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030784478"},{"type":"electronic","value":"9783030784485"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021]]},"DOI":"10.1007\/978-3-030-78448-5_6","type":"book-chapter","created":{"date-parts":[[2021,6,27]],"date-time":"2021-06-27T18:20:50Z","timestamp":1624818050000},"page":"74-85","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["A Model Approach for an Automatic Clothing Combination System for Blind People"],"prefix":"10.1007","author":[{"given":"Daniel","family":"Rocha","sequence":"first","affiliation":[]},{"given":"V\u00edtor","family":"Carvalho","sequence":"additional","affiliation":[]},{"given":"Filomena","family":"Soares","sequence":"additional","affiliation":[]},{"given":"Eva","family":"Oliveira","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,6,28]]},"reference":[{"key":"6_CR1","series-title":"Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering","doi-asserted-by":"publisher","first-page":"52","DOI":"10.1007\/978-3-030-42029-1_4","volume-title":"IoT Technologies for HealthCare","author":"D Rocha","year":"2020","unstructured":"Rocha, D., Carvalho, V., Soares, F., Oliveira, E.: Design of a smart mechatronic system to combine garments for blind people: first insights. In: Garcia, N.M., Pires, I.M., Goleva, R. (eds.) HealthyIoT 2019. LNICSSITE, vol. 314, pp. 52\u201363. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-42029-1_4"},{"key":"6_CR2","doi-asserted-by":"publisher","unstructured":"Rocha, D., Carvalho, V., Soares, F., Oliveira, E.: Extracting clothing features for blind people using image processing and machine learning techniques: first insights. In: Tavares, J.M.R.S., Natal Jorge, R.M. (eds.) VipIMAGE 2019. VipIMAGE 2019. Lecture Notes in Computational Vision and Biomechanics, vol. 34, pp. 411\u2013418. Springer, Cham (2019). https:\/\/doi.org\/10.1007\/978-3-030-32040-9_42","DOI":"10.1007\/978-3-030-32040-9_42"},{"key":"6_CR3","unstructured":"Stylebook Closet App: a closet and wardrobe fashion app for the iPhone, iPad and iPod. http:\/\/www.stylebookapp.com\/index.html. Accessed 21 June 2019"},{"key":"6_CR4","unstructured":"ShopStyle: Search and find the latest in fashion. https:\/\/www.shopstyle.com\/. Accessed 21 June 2019"},{"key":"6_CR5","unstructured":"Tailor\u202f: The smart closet. http:\/\/www.tailortags.com\/. Accessed 21 June 2019"},{"key":"6_CR6","unstructured":"Colorino Color Identifier - Light Detector - Assistive Technology at Easter Seals Crossroads. https:\/\/www.eastersealstech.com\/2016\/07\/05\/colorinos-color-identifier-light-detector\/. Accessed 19 Feb 2019"},{"key":"6_CR7","unstructured":"Colortest Standard - Computer Room Services. https:\/\/www.comproom.co.uk\/product\/colortest-classic\/. Accessed 19 Feb 2019"},{"key":"6_CR8","doi-asserted-by":"crossref","unstructured":"Yamaguchi, K., Kiapour, M.H., Ortiz, L.E., Berg, T.L: Parsing clothing in fashion photographs. In: 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 3570\u20133577 (2012)","DOI":"10.1109\/CVPR.2012.6248101"},{"key":"6_CR9","doi-asserted-by":"publisher","first-page":"1028","DOI":"10.1109\/TPAMI.2014.2353624","volume":"37","author":"K Yamaguchi","year":"2015","unstructured":"Yamaguchi, K., Kiapour, M.H., Ortiz, L.E., Berg, T.L.: Retrieving similar styles to parse clothing. IEEE Trans. Pattern. Anal. Mach. Intell. 37, 1028\u20131040 (2015). https:\/\/doi.org\/10.1109\/TPAMI.2014.2353624","journal-title":"IEEE Trans. Pattern. Anal. Mach. Intell."},{"issue":"19","key":"6_CR10","doi-asserted-by":"publisher","first-page":"25941","DOI":"10.1007\/s11042-018-5829-4","volume":"77","author":"S Wazarkar","year":"2018","unstructured":"Wazarkar, S., Keshavamurthy, B.N.: Fashion image classification using matching points with linear convolution. Multimedia Tools Appl. 77(19), 25941\u201325958 (2018). https:\/\/doi.org\/10.1007\/s11042-018-5829-4","journal-title":"Multimedia Tools Appl."},{"key":"6_CR11","doi-asserted-by":"crossref","unstructured":"Yang, M., Yu, K.: Real-time clothing recognition in surveillance videos. In: 2011 18th IEEE International Conference on Image Processing (ICIP), pp. 2937\u20132940 (2011)","DOI":"10.1109\/ICIP.2011.6116276"},{"key":"6_CR12","doi-asserted-by":"publisher","first-page":"75","DOI":"10.3233\/TAD-2011-0313","volume":"23","author":"S Yuan","year":"2011","unstructured":"Yuan, S., Tian, Y., Arditi, A.: Clothing matching for visually impaired persons. Technol. Disabil. 23, 75\u201385 (2011). https:\/\/doi.org\/10.3233\/TAD-2011-0313","journal-title":"Technol. Disabil."},{"key":"6_CR13","doi-asserted-by":"publisher","first-page":"234","DOI":"10.1109\/THMS.2014.2302814","volume":"44","author":"X Yang","year":"2014","unstructured":"Yang, X., Yuan, S., Tian, Y.: Assistive clothing pattern recognition for visually impaired people. IEEE Trans Hum-Mach. Syst. 44, 234\u2013243 (2014). https:\/\/doi.org\/10.1109\/THMS.2014.2302814","journal-title":"IEEE Trans Hum-Mach. Syst."},{"key":"6_CR14","doi-asserted-by":"crossref","unstructured":"Wang, W., Xu, Y., Shen, J., Zhu, S.-C.: Attentive fashion grammar network for fashion landmark detection and clothing category classification. In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 4271\u20134280 (2018)","DOI":"10.1109\/CVPR.2018.00449"},{"key":"6_CR15","doi-asserted-by":"crossref","unstructured":"Liu, Z., et al.: DeepFashion: powering robust clothes recognition and retrieval with rich annotations. In: 2016 Conference on Computer Vision and Pattern Recognition (CVPR), pp. 1096\u20131104 (2016)","DOI":"10.1109\/CVPR.2016.124"},{"key":"6_CR16","unstructured":"Simonyan, K., Zisserman, A.: Very deep convolutional networks for large-scale image recognition. In: 3rd International Conference on Learning Representations (ICLR 2015) - Conference Track Proceedings (2015)"},{"key":"6_CR17","doi-asserted-by":"crossref","unstructured":"Cychnerski, J., et al.: Clothes detection and classification using convolutional neural networks. In: 2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), pp. 1\u20138 (2017)","DOI":"10.1109\/ETFA.2017.8247638"},{"key":"6_CR18","doi-asserted-by":"publisher","unstructured":"Hara, K., Jagadeesh, V., Piramuthu, R.: Fashion apparel detection: the role of deep convolutional neural network and pose-dependent priors. (2014). https:\/\/doi.org\/10.1109\/WACV.2016.7477611","DOI":"10.1109\/WACV.2016.7477611"},{"key":"6_CR19","unstructured":"Rocha, D., Carvalho, V., Gon\u00e7alves, J., Azevedo, F., Oliveira, E.: Development of an automatic combination system of clothing parts for blind people: MyEyes. Sensors Transd. 219(1), 26\u201333 (2018)"},{"key":"6_CR20","doi-asserted-by":"crossref","unstructured":"Rocha, D., Carvalho, V., Oliveira, E., Gon\u00e7alves, J., Azevedo, F.: MyEyes-automatic combination system of clothing parts to blind people: first insights. In: 2017 IEEE 5th International Conference on Serious Games and Applications for Health (SeGAH), pp 1\u20135. IEEE (2017)","DOI":"10.1109\/SeGAH.2017.7939298"},{"key":"6_CR21","doi-asserted-by":"crossref","unstructured":"Rocha, D., Carvalho, V., Oliveira, E., Gon\u00e7alves, J., Azevedo, F.: MyEyes-automatic combination system of clothing parts to blind people: first insights. In: 2017 IEEE 5th International Conference on Serious Games and Applications (SENSORDEVICES 2017), Italy, pp. 11\u201314 September 2017","DOI":"10.1109\/SeGAH.2017.7939298"},{"key":"6_CR22","unstructured":"ImageNet Large Scale Visual Recognition Competition (ILSVRC). http:\/\/www.image-net.org\/challenges\/LSVRC\/. Accessed 13 July 2020"},{"key":"6_CR23","doi-asserted-by":"publisher","unstructured":"Kornblith, S., Shlens, J., Le, Q.V.: Do better ImageNet models transfer better?. In: 2019 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 2656\u20132666 (2018). https:\/\/doi.org\/10.1109\/CVPR.2019.00277","DOI":"10.1109\/CVPR.2019.00277"},{"key":"6_CR24","doi-asserted-by":"publisher","unstructured":"He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition, In: 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 770\u2013778 (2016). https:\/\/doi.org\/10.1109\/CVPR.2016.90","DOI":"10.1109\/CVPR.2016.90"},{"key":"6_CR25","unstructured":"Welcome To Colaboratory - Colaboratory. https:\/\/colab.research.google.com\/notebooks\/intro.ipynb. Accessed 14 July 2020"}],"container-title":["Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering","Design, Learning, and Innovation"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-78448-5_6","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,6,27]],"date-time":"2021-06-27T18:21:41Z","timestamp":1624818101000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-78448-5_6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030784478","9783030784485"],"references-count":25,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-78448-5_6","relation":{},"ISSN":["1867-8211","1867-822X"],"issn-type":[{"type":"print","value":"1867-8211"},{"type":"electronic","value":"1867-822X"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"28 June 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"DLI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Design, Learning, and Innovation","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"10 December 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11 December 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"dli2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/designlearninginnovation.eai-conferences.org\/2020\/","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":"EAI Confy+","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"40","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":"14","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":"35% - 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":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}