{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,1]],"date-time":"2025-11-01T02:44:46Z","timestamp":1761965086628,"version":"3.40.3"},"publisher-location":"Cham","reference-count":36,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030149833"},{"type":"electronic","value":"9783030149840"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"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":[[2019]]},"DOI":"10.1007\/978-3-030-14984-0_35","type":"book-chapter","created":{"date-parts":[[2019,3,15]],"date-time":"2019-03-15T00:09:08Z","timestamp":1552608548000},"page":"477-489","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Interaction with Collaborative Robot Using 2D and TOF Camera"],"prefix":"10.1007","author":[{"given":"Ale\u0161","family":"Vysock\u00fd","sequence":"first","affiliation":[]},{"given":"Robert","family":"Pastor","sequence":"additional","affiliation":[]},{"given":"Petr","family":"Nov\u00e1k","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,3,14]]},"reference":[{"key":"35_CR1","unstructured":"Allied Market Research: Robotics Technology Market by Type (Industrial Robots, Service Robots, Mobile Robots and Others) and Application (Defense and Security, Aerospace, Automotive, Domestic and Electronics) Global Opportunity Analysis and Industry Forecast, 2013\u20132020 (2019). https:\/\/www.alliedmarketresearch.com\/robotics-technology-market. Accessed 23 Jan 2019"},{"key":"35_CR2","unstructured":"Universal-robots.com: Applications for collaborative robot arms\u2014Universal Robots (2019). https:\/\/www.universal-robots.com\/applications\/. Accessed 23 Jan 2019"},{"issue":"02","key":"35_CR3","doi-asserted-by":"publisher","first-page":"903","DOI":"10.17973\/mmsj.2016_06_201611","volume":"2016","author":"A Vysocky","year":"2016","unstructured":"Vysocky, A., Novak, P.: Human \u2013 robot collaboration in industry. MM Sci. J. 2016(02), 903\u2013906 (2016). https:\/\/doi.org\/10.17973\/mmsj.2016_06_201611","journal-title":"MM Sci. J."},{"key":"35_CR4","unstructured":"Francis, S.: Collaborative robotic system makes \u2018monotonous and physically demanding tasks\u2019 at BMW easier. Robotics & Automation News (2019). https:\/\/roboticsandautomationnews.com\/2017\/06\/15\/collaborative-robotic-system-makes-monotonous-and-physically-demanding-tasks-at-bmw-easier\/12889\/. Accessed 23 Jan 2019"},{"key":"35_CR5","doi-asserted-by":"publisher","unstructured":"Han, X., Rashid, M.: Gesture and voice control of Internet of Things. In: 2016 IEEE 11th Conference on Industrial Electronics and Applications (ICIEA) (2016). https:\/\/doi.org\/10.1109\/iciea.2016.7603877","DOI":"10.1109\/iciea.2016.7603877"},{"key":"35_CR6","doi-asserted-by":"publisher","unstructured":"Marin, G., Dominio, F., Zanuttigh, P.: Hand gesture recognition with leap motion and kinect devices. In: 2014 IEEE International Conference on Image Processing (ICIP) (2014). https:\/\/doi.org\/10.1109\/icip.2014.7025313","DOI":"10.1109\/icip.2014.7025313"},{"key":"35_CR7","doi-asserted-by":"publisher","unstructured":"Hodicky, J., Frantis, P.: Gesture and body movement recognition in the military decision support system. In: Proceedings of the 9th International Conference on Informatics in Control, Automation and Robotics, pp. 301\u2013304 (2012). https:\/\/doi.org\/10.5220\/0003971903010304","DOI":"10.5220\/0003971903010304"},{"issue":"7","key":"35_CR8","doi-asserted-by":"publisher","first-page":"e0179264","DOI":"10.1371\/journal.pone.0179264","volume":"12","author":"A Das","year":"2017","unstructured":"Das, A., Murmann, D., Cohrn, K., Raskar, R.: A method for rapid 3D scanning and replication of large paleontological specimens. PLoS ONE 12(7), e0179264 (2017). https:\/\/doi.org\/10.1371\/journal.pone.0179264","journal-title":"PLoS ONE"},{"key":"35_CR9","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"34","DOI":"10.1007\/978-3-319-54427-4_3","volume-title":"Computer Vision \u2013 ACCV 2016 Workshops","author":"O Wasenm\u00fcller","year":"2017","unstructured":"Wasenm\u00fcller, O., Stricker, D.: Comparison of kinect V1 and V2 depth images in terms of accuracy and precision. In: Chen, C.-S., Lu, J., Ma, K.-K. (eds.) ACCV 2016. LNCS, vol. 10117, pp. 34\u201345. Springer, Cham (2017). https:\/\/doi.org\/10.1007\/978-3-319-54427-4_3"},{"key":"35_CR10","doi-asserted-by":"publisher","first-page":"355","DOI":"10.1016\/j.ergon.2017.02.004","volume":"68","author":"H Liu","year":"2018","unstructured":"Liu, H., Wang, L.: Gesture recognition for human-robot collaboration: a review. Int. J. Ind. Ergon. 68, 355\u2013367 (2018). https:\/\/doi.org\/10.1016\/j.ergon.2017.02.004","journal-title":"Int. J. Ind. Ergon."},{"key":"35_CR11","doi-asserted-by":"publisher","unstructured":"Xu, C., Cheng, L.: Efficient hand pose estimation from a single depth image. In: 2013 IEEE International Conference on Computer Vision, pp. 3456\u20133462 (2013). https:\/\/doi.org\/10.1109\/iccv.2013.429","DOI":"10.1109\/iccv.2013.429"},{"issue":"3","key":"35_CR12","doi-asserted-by":"publisher","first-page":"369","DOI":"10.3390\/app8030369","volume":"8","author":"F Chen","year":"2018","unstructured":"Chen, F., Deng, J., Pang, Z., Baghaei Nejad, M., Yang, H., Yang, G.: Finger angle-based hand gesture recognition for smart infrastructure using wearable wrist-worn camera. Appl. Sci. 8(3), 369 (2018). https:\/\/doi.org\/10.3390\/app8030369","journal-title":"Appl. Sci."},{"issue":"1","key":"35_CR13","doi-asserted-by":"publisher","first-page":"122","DOI":"10.5121\/ijcses.2011.2109","volume":"2","author":"A Chaudhary","year":"2011","unstructured":"Chaudhary, A., Raheja, J., Das, K., Raheja, S.: Intelligent approaches to interact with machines using hand gesture recognition in natural way: a survey. Int. J. Comput. Sci. Eng. Surv. 2(1), 122\u2013133 (2011). https:\/\/doi.org\/10.5121\/ijcses.2011.2109","journal-title":"Int. J. Comput. Sci. Eng. Surv."},{"issue":"9","key":"35_CR14","doi-asserted-by":"publisher","first-page":"1265","DOI":"10.3923\/itj.2012.1265.1271","volume":"11","author":"H Jalab","year":"2012","unstructured":"Jalab, H.: Static hand gesture recognition for human computer interaction. Inf. Technol. J. 11(9), 1265\u20131271 (2012). https:\/\/doi.org\/10.3923\/itj.2012.1265.1271","journal-title":"Inf. Technol. J."},{"key":"35_CR15","doi-asserted-by":"publisher","unstructured":"Ganokratanaa, T., Pumrin, S.: The vision-based hand gesture recognition using blob analysis. In: 2017 International Conference on Digital Arts, Media and Technology (ICDAMT), pp. 336\u2013341 (2017). https:\/\/doi.org\/10.1109\/icdamt.2017.7904987","DOI":"10.1109\/icdamt.2017.7904987"},{"key":"35_CR16","series-title":"Communications in Computer and Information Science","doi-asserted-by":"publisher","first-page":"364","DOI":"10.1007\/978-3-319-06932-6_35","volume-title":"Beyond Databases, Architectures, and Structures","author":"J Nalepa","year":"2014","unstructured":"Nalepa, J., Kawulok, M.: Fast and accurate hand shape classification. In: Kozielski, S., Mrozek, D., Kasprowski, P., Ma\u0142ysiak-Mrozek, B., Kostrzewa, D. (eds.) BDAS 2014. CCIS, vol. 424, pp. 364\u2013373. Springer, Cham (2014). https:\/\/doi.org\/10.1007\/978-3-319-06932-6_35"},{"issue":"1","key":"35_CR17","doi-asserted-by":"publisher","first-page":"170","DOI":"10.1186\/1687-6180-2014-170","volume":"2014","author":"M Kawulok","year":"2014","unstructured":"Kawulok, M., Kawulok, J., Nalepa, J., Smolka, B.: Self-adaptive algorithm for segmenting skin regions. EURASIP J. Adv. Signal Process. 2014(1), 170 (2014). https:\/\/doi.org\/10.1186\/1687-6180-2014-170","journal-title":"EURASIP J. Adv. Signal Process."},{"key":"35_CR18","doi-asserted-by":"publisher","unstructured":"Mesbahi, S., Mahraz, M., Riffi, J., Tairi, H.: Hand gesture recognition based on convexity approach and background subtraction. In: 2018 International Conference on Intelligent Systems and Computer Vision (ISCV), pp. 1\u20135 (2018). https:\/\/doi.org\/10.1109\/isacv.2018.8354074","DOI":"10.1109\/isacv.2018.8354074"},{"issue":"12","key":"35_CR19","doi-asserted-by":"publisher","first-page":"3941","DOI":"10.1007\/s00521-016-2294-8","volume":"28","author":"O Oyedotun","year":"2016","unstructured":"Oyedotun, O., Khashman, A.: Deep learning in vision-based static hand gesture recognition. Neural Comput. Appl. 28(12), 3941\u20133951 (2016). https:\/\/doi.org\/10.1007\/s00521-016-2294-8","journal-title":"Neural Comput. Appl."},{"key":"35_CR20","doi-asserted-by":"publisher","first-page":"139","DOI":"10.1016\/j.cviu.2016.10.006","volume":"155","author":"P Barros","year":"2017","unstructured":"Barros, P., Maciel-Junior, N., Fernandes, B., Bezerra, B., Fernandes, S.: A dynamic gesture recognition and prediction system using the convexity approach. Comput. Vis. Image Underst. 155, 139\u2013149 (2017). https:\/\/doi.org\/10.1016\/j.cviu.2016.10.006","journal-title":"Comput. Vis. Image Underst."},{"key":"35_CR21","doi-asserted-by":"publisher","unstructured":"Kerber, F., Puhl, M., Kr\u00fcger, A.: User-independent real-time hand gesture recognition based on surface electromyography. In: Proceedings of the 19th International Conference on Human-Computer Interaction with Mobile Devices and Services - MobileHCI 2017, pp. 1\u20137 (2017). https:\/\/doi.org\/10.1145\/3098279.3098553","DOI":"10.1145\/3098279.3098553"},{"issue":"47","key":"35_CR22","doi-asserted-by":"publisher","first-page":"1702108","DOI":"10.1002\/smll.201702108","volume":"13","author":"Z Su","year":"2017","unstructured":"Su, Z., et al.: Microsphere-assisted robust epidermal strain gauge for static and dynamic gesture recognition. Small 13(47), 1702108 (2017). https:\/\/doi.org\/10.1002\/smll.201702108","journal-title":"Small"},{"key":"35_CR23","unstructured":"Universal-robots.com: UR3 collaborative table-top robot arm that automates almost anything (2019). https:\/\/www.universal-robots.com\/products\/ur3-robot\/. Accessed 23 Jan 2019"},{"key":"35_CR24","unstructured":"Cognex.com: In-Sight 8000 Vision Systems (2019). https:\/\/www.cognex.com\/products\/machine-vision\/2d-machine-vision-systems\/in-sight-8000-series. Accessed 23 Jan 2019"},{"key":"35_CR25","doi-asserted-by":"publisher","unstructured":"Ilonen, J., Kyrki, V.: Robust robot-camera calibration. In: 2011 15th International Conference on Advanced Robotics (ICAR), pp. 67\u201374 (2011). https:\/\/doi.org\/10.1109\/icar.2011.6088553","DOI":"10.1109\/icar.2011.6088553"},{"key":"35_CR26","unstructured":"opencv.org: Camera Calibration\u2014OpenCV 3.0.0-dev documentation (2019). https:\/\/docs.opencv.org\/3.0-beta\/doc\/py_tutorials\/py_calib3d\/py_calibration\/py_calibration.html. Accessed 23 Jan 2019"},{"key":"35_CR27","unstructured":"Grover, P.: Evolution of Object Detection and Localization Algorithms. Towards Data Science (2019). https:\/\/towardsdatascience.com\/evolution-of-object-detection-and-localization-algorithms-e241021d8bad. Accessed 23 Jan 2019"},{"key":"35_CR28","doi-asserted-by":"publisher","unstructured":"Rogalla, O., Ehrenmann, M., Zollner, R., Becher, R., Dillmann, R.: Using gesture and speech control for commanding a robot assistant. In: Proceedings 11th IEEE International Workshop on Robot and Human Interactive Communication, pp. 454\u2013459 (2002). https:\/\/doi.org\/10.1109\/roman.2002.1045664","DOI":"10.1109\/roman.2002.1045664"},{"key":"35_CR29","doi-asserted-by":"publisher","unstructured":"Malima, A., Ozgur, E., Cetin, M.: A fast algorithm for vision-based hand gesture recognition for robot control. In: 2006 IEEE 14th Signal Processing and Communications Applications, pp. 1\u20134 (2006). https:\/\/doi.org\/10.1109\/siu.2006.1659822","DOI":"10.1109\/siu.2006.1659822"},{"key":"35_CR30","doi-asserted-by":"publisher","unstructured":"Arachchi, S., Hakim, N., Hsu, H., Klimenko, S., Shih, T.: Real-time static and dynamic gesture recognition using mixed space features for 3D virtual world\u2019s interactions. In: 2018 32nd International Conference on Advanced Information Networking and Applications Workshops (WAINA), pp. 627\u2013632 (2018). https:\/\/doi.org\/10.1109\/waina.2018.00157","DOI":"10.1109\/waina.2018.00157"},{"key":"35_CR31","unstructured":"Software.intel.com: Intel\u00ae RealSense\u2122 SDK, Hand Tracking Tutorial (2019). https:\/\/software.intel.com\/sites\/default\/files\/Hand_Tracking.pdf. Accessed 23 Jan 2019"},{"key":"35_CR32","doi-asserted-by":"publisher","unstructured":"Frantis, P., Hodicky, J.: Human machine interface in command and control system. In: 2010 IEEE International Conference on Virtual Environments, Human-Computer Interfaces and Measurement Systems, pp. 38\u201341 (2010). https:\/\/doi.org\/10.1109\/vecims.2010.5609345","DOI":"10.1109\/vecims.2010.5609345"},{"key":"35_CR33","unstructured":"Frantis, P., Hodicky, J.: Virtual reality in presentation layer of C3I system. In Proceedings of International Congress on Modelling and Simulation: Advances and Applications for Management and Decision Making, MODSIM, pp. 3045\u20133050 (2005)"},{"key":"35_CR34","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"223","DOI":"10.1007\/978-3-319-76072-8_16","volume-title":"Modelling and Simulation for Autonomous Systems","author":"T Kot","year":"2018","unstructured":"Kot, T., Nov\u00e1k, P., Babjak, J.: Application of augmented reality in mobile robot teleoperation. In: Mazal, J. (ed.) MESAS 2017. LNCS, vol. 10756, pp. 223\u2013236. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-319-76072-8_16"},{"key":"35_CR35","doi-asserted-by":"publisher","unstructured":"Holada, M., Pelc, M.: The robot voice-control system with interactive learning. In: New Developments in Robotics Automation and Control (2008). https:\/\/doi.org\/10.5772\/6284","DOI":"10.5772\/6284"},{"key":"35_CR36","unstructured":"ISO\/TS 15066:2016: Robots and robotic devices, collaborative robots (2016)"}],"container-title":["Lecture Notes in Computer Science","Modelling and Simulation for Autonomous Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-14984-0_35","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,13]],"date-time":"2024-03-13T20:28:34Z","timestamp":1710361714000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-14984-0_35"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030149833","9783030149840"],"references-count":36,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-14984-0_35","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"14 March 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"MESAS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Modelling and Simulation for Autonomous Systems","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Prague","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Czech Republic","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2018","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17 October 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19 October 2018","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":"mesas2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.mscoe.org\/event\/mesas-2018\/","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":"OCS","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"66","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":"46","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":"70% - 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":"2","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":"2.4","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)"}}]}}