{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T02:09:31Z","timestamp":1742954971074,"version":"3.40.3"},"publisher-location":"Cham","reference-count":22,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783031197444"},{"type":"electronic","value":"9783031197451"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022]]},"DOI":"10.1007\/978-3-031-19745-1_21","type":"book-chapter","created":{"date-parts":[[2022,12,9]],"date-time":"2022-12-09T06:04:15Z","timestamp":1670565855000},"page":"285-300","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Early Dementia Identification: On the Use of Random Handwriting Strokes"],"prefix":"10.1007","author":[{"given":"Vincenzo","family":"Gattulli","sequence":"first","affiliation":[]},{"given":"Donato","family":"Impedovo","sequence":"additional","affiliation":[]},{"given":"Giuseppe","family":"Pirlo","sequence":"additional","affiliation":[]},{"given":"Gianfranco","family":"Semeraro","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,12,10]]},"reference":[{"key":"21_CR1","doi-asserted-by":"publisher","first-page":"209","DOI":"10.1109\/RBME.2018.2840679","volume":"12","author":"D Impedovo","year":"2018","unstructured":"Impedovo, D., Pirlo, G.: Dynamic handwriting analysis for the assessment of neurodegenerative diseases: a pattern recognition perspective. IEEE Rev. Biomed. Eng. 12, 209\u2013220 (2018). https:\/\/doi.org\/10.1109\/RBME.2018.2840679","journal-title":"IEEE Rev. Biomed. Eng."},{"key":"21_CR2","doi-asserted-by":"publisher","unstructured":"de Stefano, C., Fontanella, F., Impedovo, D., Pirlo, G., Scotto di Freca, A.: Handwriting analysis to support neurodegenerative diseases diagnosis: a review. Pattern Recogn. Lett. 121, 37\u201345 (2019). https:\/\/doi.org\/10.1016\/J.PATREC.2018.05.013","DOI":"10.1016\/J.PATREC.2018.05.013"},{"key":"21_CR3","doi-asserted-by":"publisher","first-page":"12470","DOI":"10.1016\/J.ESWA.2011.04.028","volume":"38","author":"F Str\u00f6m","year":"2011","unstructured":"Str\u00f6m, F., Koker, R.: A parallel neural network approach to prediction of Parkinson\u2019s disease. Expert Syst. Appl. 38, 12470\u201312474 (2011). https:\/\/doi.org\/10.1016\/J.ESWA.2011.04.028","journal-title":"Expert Syst. Appl."},{"key":"21_CR4","doi-asserted-by":"publisher","first-page":"1406","DOI":"10.1007\/S12559-021-09938-2\/TABLES\/1","volume":"13","author":"M Faundez-Zanuy","year":"2021","unstructured":"Faundez-Zanuy, M., Mekyska, J., Impedovo, D.: Online handwriting, signature and touch dynamics: tasks and potential applications in the field of security and health. Cogn. Comput. 13, 1406\u20131421 (2021). https:\/\/doi.org\/10.1007\/S12559-021-09938-2\/TABLES\/1","journal-title":"Cogn. Comput."},{"issue":"4","key":"21_CR5","doi-asserted-by":"publisher","first-page":"576","DOI":"10.1007\/s12559-019-09642-2","volume":"11","author":"D Impedovo","year":"2019","unstructured":"Impedovo, D., Pirlo, G., Vessio, G., Angelillo, M.T.: A Handwriting-based protocol for assessing neurodegenerative dementia. Cogn. Comput. 11(4), 576\u2013586 (2019). https:\/\/doi.org\/10.1007\/s12559-019-09642-2","journal-title":"Cogn. Comput."},{"key":"21_CR6","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"683","DOI":"10.1007\/978-3-030-30645-8_62","volume-title":"Image Analysis and Processing \u2013 ICIAP 2019","author":"ND Cilia","year":"2019","unstructured":"Cilia, N.D., De Stefano, C., Fontanella, F., Molinara, M., Scotto Di Freca, A.: Using handwriting features to characterize cognitive impairment. In: Ricci, E., Rota Bul\u00f2, S., Snoek, C., Lanz, O., Messelodi, S., Sebe, N. (eds.) Image Analysis and Processing \u2013 ICIAP 2019. LNCS, vol. 11752, pp. 683\u2013693. Springer, Cham (2019). https:\/\/doi.org\/10.1007\/978-3-030-30645-8_62"},{"key":"21_CR7","doi-asserted-by":"publisher","unstructured":"Kahindo, C., El-Yacoubi, M.A., Garcia-Salicetti, S., Rigaud, A.-S., Cristancho-Lacroix, V.: Characterizing early-stage alzheimer through spatiotemporal dynamics of handwriting; characterizing early-stage alzheimer through spatiotemporal dynamics of handwriting. IEEE Sig. Process. Lett. 25 (2018). https:\/\/doi.org\/10.1109\/LSP.2018.2794500","DOI":"10.1109\/LSP.2018.2794500"},{"key":"21_CR8","doi-asserted-by":"publisher","first-page":"143","DOI":"10.1007\/978-3-030-29891-3_13","volume-title":"Computer Analysis of Images and Patterns","author":"ND Cilia","year":"2019","unstructured":"Cilia, N.D.: Handwriting analysis to support Alzheimer disease diagnosis: a preliminary study. In: Vento, M., Percannella, G. (eds.) Computer Analysis of Images and Patterns, vol. 11679, pp. 143\u2013151. Springer, Cham (2019). https:\/\/doi.org\/10.1007\/978-3-030-29891-3_13"},{"key":"21_CR9","doi-asserted-by":"publisher","first-page":"466","DOI":"10.1016\/J.PROCS.2018.10.141","volume":"141","author":"ND Cilia","year":"2018","unstructured":"Cilia, N.D., de Stefano, C., Fontanella, F., di Freca, A.S.: An experimental protocol to support cognitive impairment diagnosis by using handwriting analysis. Procedia Comput. Sci. 141, 466\u2013471 (2018). https:\/\/doi.org\/10.1016\/J.PROCS.2018.10.141","journal-title":"Procedia Comput. Sci."},{"key":"21_CR10","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"536","DOI":"10.1007\/978-3-030-68763-2_41","volume-title":"Pattern Recognition","author":"V Dentamaro","year":"2021","unstructured":"Dentamaro, V., Impedovo, D., Pirlo, G.: An analysis of tasks and features for neuro-degenerative disease assessment by handwriting. In: Del Bimbo, A., et al. (eds.) ICPR 2021. LNCS, vol. 12661, pp. 536\u2013545. Springer, Cham (2021). https:\/\/doi.org\/10.1007\/978-3-030-68763-2_41"},{"key":"21_CR11","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"7","DOI":"10.1007\/978-3-030-86159-9_1","volume-title":"Document Analysis and Recognition \u2013 ICDAR 2021 Workshops","author":"V Dentamaro","year":"2021","unstructured":"Dentamaro, V., Giglio, P., Impedovo, D., Pirlo, G.: Benchmarking of shallow learning and deep learning techniques with transfer learning for neurodegenerative disease assessment through handwriting. In: Barney Smith, E.H., Pal, U. (eds.) ICDAR 2021. LNCS, vol. 12917, pp. 7\u201320. Springer, Cham (2021). https:\/\/doi.org\/10.1007\/978-3-030-86159-9_1"},{"key":"21_CR12","doi-asserted-by":"publisher","first-page":"508","DOI":"10.1109\/TNSRE.2014.2359997","volume":"23","author":"P Drot\u00e1r","year":"2015","unstructured":"Drot\u00e1r, P., Mekyska, J., Rektorov\u00e1, I., Masarov\u00e1, L., Sm\u00e9kal, Z., Faundez-Zanuy, M.: Decision support framework for Parkinson\u2019s disease based on novel handwriting markers. IEEE Trans. Neural Syst. Rehabil. Eng. 23, 508\u2013516 (2015). https:\/\/doi.org\/10.1109\/TNSRE.2014.2359997","journal-title":"IEEE Trans. Neural Syst. Rehabil. Eng."},{"key":"21_CR13","doi-asserted-by":"publisher","first-page":"273","DOI":"10.1109\/THMS.2016.2635441","volume":"47","author":"L Likforman-Sulem","year":"2017","unstructured":"Likforman-Sulem, L., Esposito, A., Faundez-Zanuy, M., Clemencon, S., Cordasco, G.: EMOTHAW: a novel database for emotional state recognition from handwriting and drawing. IEEE Trans. Hum.-Mach. Syst. 47, 273\u2013284 (2017). https:\/\/doi.org\/10.1109\/THMS.2016.2635441","journal-title":"IEEE Trans. Hum.-Mach. Syst."},{"key":"21_CR14","unstructured":"Improved Spiral Test Using Digitized Graphics Tablet for Monitoring Parkinson\u2019s Disease. https:\/\/www.researchgate.net\/publication\/291814924_Improved_Spiral_Test_Using_Digitized_Graphics_Tablet_for_Monitoring_Parkinson\u2019s_Disease. Accessed 13 Feb 2022"},{"key":"21_CR15","unstructured":"Impedovo, D., et al.: Writing Generation Model for Health Care neuromuscular System. 7\u00b0 Convegno Nazionale di Viticoltura, Piacenza, 9\u201311 luglio 2018, p. 43 (2013)"},{"key":"21_CR16","doi-asserted-by":"publisher","unstructured":"Pereira, C.R., Weber, S.A.T., Hook, C., Rosa, G.H., Papa, J.P.: Deep learning-aided parkinson\u2019s disease diagnosis from handwritten dynamics, pp. 340\u2013346 (2016). https:\/\/doi.org\/10.1109\/SIBGRAPI.2016.054","DOI":"10.1109\/SIBGRAPI.2016.054"},{"key":"21_CR17","doi-asserted-by":"publisher","unstructured":"Pereira, C.R., et al.: A step towards the automated diagnosis of Parkinson\u2019s disease: analyzing handwriting movements. In: 2015 IEEE 28th International Symposium on Computer-Based Medical Systems, pp. 171\u2013176 (2015). https:\/\/doi.org\/10.1109\/CBMS.2015.34","DOI":"10.1109\/CBMS.2015.34"},{"key":"21_CR18","doi-asserted-by":"publisher","unstructured":"Zhang, X.Y., Xie, G.S., Liu, C.L., Bengio, Y.: End-to-end online writer identification with recurrent neural network. IEEE Trans. Hum.-Mach. Syst. 47, 285\u2013292 (2017). https:\/\/doi.org\/10.1109\/THMS.2016.2634921","DOI":"10.1109\/THMS.2016.2634921"},{"key":"21_CR19","doi-asserted-by":"crossref","unstructured":"Doetsch, P., Zeyer, A., Ney, H.: Bidirectional decoder networks for attention-based end-to-end offline handwriting recognition (2016)","DOI":"10.1109\/ICFHR.2016.0074"},{"key":"21_CR20","unstructured":"Vaswani, A., et al.: Attention is all you need. CoRR. abs\/1706.03762 https:\/\/arxiv.org\/abs\/1706.03762 (2017)"},{"key":"21_CR21","doi-asserted-by":"publisher","unstructured":"Puigcerver, J.: Are multidimensional recurrent layers really necessary for handwritten text recognition? In: Proceedings of the International Conference on Document Analysis and Recognition, ICDAR, vol. 1, pp. 67\u201372 (2017). https:\/\/doi.org\/10.1109\/ICDAR.2017.20","DOI":"10.1109\/ICDAR.2017.20"},{"key":"21_CR22","doi-asserted-by":"crossref","unstructured":"Breiman, L.: Random forests (2001)","DOI":"10.32614\/CRAN.package.randomForest"}],"container-title":["Lecture Notes in Computer Science","Intertwining Graphonomics with Human Movements"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-19745-1_21","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,10]],"date-time":"2024-10-10T03:31:44Z","timestamp":1728531104000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-19745-1_21"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031197444","9783031197451"],"references-count":22,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-19745-1_21","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"10 December 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"The authors declare no conflict of interest.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflicts of Interest"}},{"value":"IGS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Graphonomics Conference","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Las Palmas de Gran Canaria","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Spain","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7 June 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"9 June 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"igs2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/graphonomics.net\/igs2021\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-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":"41","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":"36","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":"3","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":"88% - 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":"2","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":"Only 26 papers from the 36 accepted were selected to be published in the proceedings","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)"}}]}}