{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T18:54:15Z","timestamp":1742928855796,"version":"3.40.3"},"publisher-location":"Cham","reference-count":39,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783031164736"},{"type":"electronic","value":"9783031164743"}],"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.springer.com\/tdm"},{"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.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022]]},"DOI":"10.1007\/978-3-031-16474-3_44","type":"book-chapter","created":{"date-parts":[[2022,9,12]],"date-time":"2022-09-12T14:16:28Z","timestamp":1662992188000},"page":"537-548","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Deep Learning Methods Integration for Improving Natural Interaction Between Humans and an Assistant Mobile Robot in the Context of Autonomous Navigation"],"prefix":"10.1007","author":[{"given":"Roberto","family":"Oterino-Bono","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9561-1151","authenticated-orcid":false,"given":"Nieves","family":"Pav\u00f3n-Pulido","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jes\u00fas Dami\u00e1n","family":"Blasco-Garc\u00eda","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1920-2716","authenticated-orcid":false,"given":"Juan Antonio","family":"L\u00f3pez-Riquelme","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Marta","family":"Jim\u00e9nez-Mu\u00f1oz","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6351-6317","authenticated-orcid":false,"given":"Jorge J.","family":"Feliu-Batlle","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mar\u00eda Trinidad","family":"Herrero","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,9,13]]},"reference":[{"key":"44_CR1","doi-asserted-by":"publisher","first-page":"126","DOI":"10.1007\/BFb0055975","volume-title":"Assistive Technology and Artificial Intelligence","author":"DP Miller","year":"2006","unstructured":"Miller, D.P.: Assistive robotics: an overview. In: Mittal, V.O., Yanco, H.A., Aronis, J., Simpson, R. (eds.) Assistive Technology and Artificial Intelligence, vol. 1458, pp. 126\u2013136. Springer, Heidelberg (2006). https:\/\/doi.org\/10.1007\/BFb0055975"},{"issue":"6","key":"44_CR2","doi-asserted-by":"publisher","first-page":"509","DOI":"10.1097\/PHM.0b013e3181cf569b","volume":"89","author":"SW Brose","year":"2010","unstructured":"Brose, S.W., et al.: The role of assistive robotics in the lives of persons with disability. Am. J. Phys. Med. Rehabil. 89(6), 509\u2013521 (2010)","journal-title":"Am. J. Phys. Med. Rehabil."},{"key":"44_CR3","volume-title":"Probabilistic Robotics, Intelligent Robotics and Autonomous Agents Series","author":"S Thrun","year":"2006","unstructured":"Thrun, S., Burgard, W., Fox, D.: Probabilistic Robotics, Intelligent Robotics and Autonomous Agents Series. MIT Press, Cambridge (2006)"},{"issue":"1","key":"44_CR4","doi-asserted-by":"publisher","first-page":"35","DOI":"10.1007\/s10846-018-0805-9","volume":"91","author":"SG Tzafestas","year":"2018","unstructured":"Tzafestas, S.G.: Mobile robot control and navigation: a global overview. J. Intell. Rob. Syst. 91(1), 35\u201358 (2018). https:\/\/doi.org\/10.1007\/s10846-018-0805-9","journal-title":"J. Intell. Rob. Syst."},{"issue":"9","key":"44_CR5","doi-asserted-by":"publisher","first-page":"3170","DOI":"10.3390\/s18093170","volume":"18","author":"A Ravankar","year":"2018","unstructured":"Ravankar, A., Ravankar, A.A., Kobayashi, Y., Hoshino, Y., Peng, C.-C.: Path smoothing techniques in robot navigation: state-of-the-art, current and future challenges. Sensors 18(9), 3170 (2018). https:\/\/doi.org\/10.3390\/s18093170","journal-title":"Sensors"},{"key":"44_CR6","doi-asserted-by":"publisher","first-page":"351","DOI":"10.1016\/j.comcom.2020.06.007","volume":"160","author":"R Chandra","year":"2020","unstructured":"Chandra, R.: Precise localization for achieving next-generation autonomous navigation: State-of-the-art, taxonomy and future prospects. Comput. Commun. 160, 351\u2013374 (2020). https:\/\/doi.org\/10.1016\/j.comcom.2020.06.007","journal-title":"Comput. Commun."},{"key":"44_CR7","doi-asserted-by":"publisher","unstructured":"Crespo, J., Castillo, J.C., Mozos, O.M., Barber, R.: Semantic information for robot navigation: a survey. Appl. Sci. 10(2), 497, 1\u201328 (2020). https:\/\/doi.org\/10.3390\/app10020497","DOI":"10.3390\/app10020497"},{"issue":"1","key":"44_CR8","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3368961","volume":"53","author":"YDV Yasuda","year":"2020","unstructured":"Yasuda, Y.D.V., Martins, L.E.G., Cappabianco, F.A.M.: Autonomous visual navigation for mobile robots: a systematic literature review. ACM Comput. Surv. 53(1), 1\u201334 (2020). https:\/\/doi.org\/10.1145\/3368961","journal-title":"ACM Comput. Surv."},{"issue":"5","key":"44_CR9","doi-asserted-by":"publisher","first-page":"674","DOI":"10.26599\/TST.2021.9010012","volume":"26","author":"K Zhu","year":"2021","unstructured":"Zhu, K., Zhang, T.: Deep reinforcement learning based mobile robot navigation: a review. IEEE Tsinghua Sci. Technol. 26(5), 674\u2013691 (2021). https:\/\/doi.org\/10.26599\/TST.2021.9010012","journal-title":"IEEE Tsinghua Sci. Technol."},{"key":"44_CR10","doi-asserted-by":"crossref","unstructured":"Shishehgar, M., Kerr, D., Blake, J.: A systematic review of research into how robotic technology can help older people. Smart Health. 7\u20138, 1\u201318 (2018). https:\/\/www.sciencedirect.com\/science\/article\/pii\/S2352648316300149","DOI":"10.1016\/j.smhl.2018.03.002"},{"key":"44_CR11","unstructured":"Tesla Autopilot. https:\/\/www.tesla.com\/es_ES\/autopilot. Accessed 12 Apr 2022"},{"issue":"3","key":"44_CR12","doi-asserted-by":"publisher","first-page":"376","DOI":"10.1016\/j.robot.2013.09.014","volume":"62","author":"F Vaussard","year":"2014","unstructured":"Vaussard, F., et al.: Lessons learned from robotic vacuum cleaners entering the home ecosystem. Robot. Auton. Syst. 62(3), 376\u2013391 (2014). https:\/\/doi.org\/10.1016\/j.robot.2013.09.014","journal-title":"Robot. Auton. Syst."},{"issue":"4","key":"44_CR13","doi-asserted-by":"publisher","first-page":"795","DOI":"10.1007\/s12369-020-00664-7","volume":"13","author":"A Robaczewski","year":"2020","unstructured":"Robaczewski, A., Bouchard, J., Bouchard, K., Gaboury, S.: Socially assistive robots: the specific case of the NAO. Int. J. Soc. Robot. 13(4), 795\u2013831 (2020). https:\/\/doi.org\/10.1007\/s12369-020-00664-7","journal-title":"Int. J. Soc. Robot."},{"issue":"3","key":"44_CR14","doi-asserted-by":"publisher","first-page":"40","DOI":"10.1109\/MRA.2018.2833157","volume":"25","author":"AK Pandey","year":"2018","unstructured":"Pandey, A.K., Gelin, R.: A mass-produced sociable humanoid robot: pepper: the first machine of its kind. IEEE Robot. Autom. Mag. 25(3), 40\u201348 (2018). https:\/\/doi.org\/10.1109\/MRA.2018.2833157","journal-title":"IEEE Robot. Autom. Mag."},{"key":"44_CR15","doi-asserted-by":"publisher","unstructured":"K\u00ebpuska, V., Bohouta, G.: Next-generation of virtual personal assistants (Microsoft Cortana, Apple Siri, Amazon Alexa and Google Home). In: Proceedings of IEEE 8th Annual Computing and Communication Workshop and Conference (CCWC), pp. 99\u2013103. IEEE, Las Vegas (2018). https:\/\/doi.org\/10.1109\/CCWC.2018.8301638","DOI":"10.1109\/CCWC.2018.8301638"},{"issue":"6","key":"44_CR16","doi-asserted-by":"publisher","first-page":"213","DOI":"10.15406\/mojgg.2019.04.00209","volume":"4","author":"H Gil","year":"2019","unstructured":"Gil, H.: The elderly and the digital inclusion: a brief reference to the initiatives of the European Union and Portugal. MOJ Gerontol. Geriatr. 4(6), 213\u2013221 (2019)","journal-title":"MOJ Gerontol. Geriatr."},{"key":"44_CR17","doi-asserted-by":"publisher","unstructured":"Beaunoyer, E., Dup\u00e9r\u00e9, S., Guitton, M.J.: COVID-19 and digital inequalities: reciprocal impacts and mitigation strategies. Comput. Hum. Behav. 111 (2020). https:\/\/doi.org\/10.1016\/j.chb.2020.106424","DOI":"10.1016\/j.chb.2020.106424"},{"key":"44_CR18","unstructured":"AAL Programme. Ageing Well in the Digital World. http:\/\/www.aal-europe.eu\/about\/. Accessed 12 Apr 2022"},{"key":"44_CR19","unstructured":"engage. Enabling social robots. https:\/\/engage-aal-project.eu\/. Accessed 12 Apr 2022"},{"key":"44_CR20","unstructured":"ReMember-Me. http:\/\/www.aal-europe.eu\/projects\/remember-me\/. Accessed 12 Apr 2022"},{"key":"44_CR21","unstructured":"AgeWell. http:\/\/www.aal-europe.eu\/projects\/agewell\/. Accessed 12 Apr 2022"},{"key":"44_CR22","unstructured":"eWare. http:\/\/www.aal-europe.eu\/projects\/eware\/. Accessed 12 Apr 2022"},{"key":"44_CR23","unstructured":"CAMI. http:\/\/www.aal-europe.eu\/projects\/cami\/. Accessed 12 Apr 2022"},{"key":"44_CR24","unstructured":"ASSAM. http:\/\/www.aal-europe.eu\/projects\/assam\/. Accessed 12 Apr 2022"},{"key":"44_CR25","unstructured":"ExCITE. http:\/\/www.aal-europe.eu\/projects\/excite\/. Accessed 12 Apr 2022"},{"key":"44_CR26","unstructured":"ALIAS. http:\/\/www.aal-europe.eu\/projects\/alias\/. Accessed 12 Apr 2022"},{"key":"44_CR27","unstructured":"DOMEO. http:\/\/www.aal-europe.eu\/projects\/domeo\/. Accessed 12 Apr 2022"},{"key":"44_CR28","doi-asserted-by":"publisher","unstructured":"Hannun, A., et al.: Deep speech: scaling up end-to-end speech recognition. arXiv:1412.5567 (2014). https:\/\/doi.org\/10.48550\/arXiv.1412.5567","DOI":"10.48550\/arXiv.1412.5567"},{"key":"44_CR29","unstructured":"DeepSpeech. https:\/\/github.com\/mozilla\/DeepSpeech. Accessed 15 Apr 2022"},{"key":"44_CR30","unstructured":"DeepSpeech-polyglot. https:\/\/gitlab.com\/Jaco-Assistant\/Scribosermo. Accessed 15 Apr 2022"},{"key":"44_CR31","unstructured":"Festival. https:\/\/www.cstr.ed.ac.uk\/projects\/festival\/. Accessed 15 Apr 2022"},{"key":"44_CR32","unstructured":"CMU Flite. http:\/\/cmuflite.org\/. Accessed 15 Apr 2022"},{"key":"44_CR33","unstructured":"Pico Text-to-Speech. https:\/\/www.openhab.org\/addons\/voice\/picotts\/. Accessed 15 Apr 2022"},{"key":"44_CR34","unstructured":"Text to Speech (TTS) library for Python 2 and 3, pyttsx3. https:\/\/pypi.org\/project\/pyttsx3\/. Accessed 15 Apr 2022"},{"key":"44_CR35","unstructured":"Talkey Documentation. https:\/\/talkey.readthedocs.io\/en\/latest\/. Accessed 15 Apr 2022"},{"key":"44_CR36","unstructured":"spaCy. https:\/\/spacy.io\/. Accessed 15 Apr 2022"},{"key":"44_CR37","doi-asserted-by":"publisher","unstructured":"Schroff, F., Kalenichenko, D., Philbin, J.: FaceNet: a unified embedding for face recognition and clustering. In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 815\u2013823. IEEE. Boston (2015). https:\/\/doi.org\/10.1109\/CVPR.2015.7298682","DOI":"10.1109\/CVPR.2015.7298682"},{"key":"44_CR38","doi-asserted-by":"publisher","unstructured":"Pav\u00f3n, N., Ferruz, J., Ollero, A.: Describing the environment using semantic labelled polylines from 2D laser scanned raw data: application to autonomous navigation. In: Proceedings of IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS2010), pp. 3257\u20133262, IEEE, Taipei (2010). https:\/\/doi.org\/10.1109\/IROS.2010.5650846","DOI":"10.1109\/IROS.2010.5650846"},{"key":"44_CR39","doi-asserted-by":"publisher","unstructured":"Pavon-Pulido, N., Lopez-Riquelme, J.A., Pinuaga-Cascales, J.J., Ferruz-Melero, J., Morais Dos Santos, R.: Cybi: a smart companion robot for elderly people: improving teleoperation and telepresence skills by combining cloud computing technologies and fuzzy logic. In: Proceedings of IEEE ICARSC, pp. 198\u2013203, IEEE, Vila Real (2015). https:\/\/doi.org\/10.1109\/ICARSC.2015.40","DOI":"10.1109\/ICARSC.2015.40"}],"container-title":["Lecture Notes in Computer Science","Progress in Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-16474-3_44","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,9,12]],"date-time":"2022-09-12T14:23:11Z","timestamp":1662992591000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-16474-3_44"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031164736","9783031164743"],"references-count":39,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-16474-3_44","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":"13 September 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"EPIA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"EPIA Conference on Artificial Intelligence","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Lisbon","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Portugal","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":"31 August 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2 September 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"epia2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/epia2022.inesc-id.pt\/","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":"85","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":"64","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":"75% - 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":"3,7","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":"0,9","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)"}}]}}