{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T15:17:09Z","timestamp":1759331829571,"version":"3.40.3"},"publisher-location":"Cham","reference-count":18,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031442032"},{"type":"electronic","value":"9783031442049"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"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":[[2023]]},"DOI":"10.1007\/978-3-031-44204-9_30","type":"book-chapter","created":{"date-parts":[[2023,9,21]],"date-time":"2023-09-21T04:02:11Z","timestamp":1695268931000},"page":"358-370","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Patches Channel Attention for\u00a0Human Sitting Posture Recognition"],"prefix":"10.1007","author":[{"given":"Yongfang","family":"Ye","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shoudong","family":"Shi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tianxiang","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kedi","family":"Qiu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ting","family":"Lan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,9,22]]},"reference":[{"key":"30_CR1","doi-asserted-by":"publisher","first-page":"11492","DOI":"10.1109\/JIOT.2020.3019280","volume":"7","author":"L Feng","year":"2020","unstructured":"Feng, L., Li, Z., Liu, C., Chen, X., Yin, X., Fang, D.: SitR: sitting posture recognition using RF signals. IEEE Internet Things J. 7, 11492\u201311504 (2020)","journal-title":"IEEE Internet Things J."},{"key":"30_CR2","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0019657","volume":"6","author":"T Church","year":"2011","unstructured":"Church, T., Thomas, D., Tudor-Locke, C., Katzmarzyk, P., Bouchard, C.: Trends over 5 decades in U.S. occupation-related physical activity and their associations with obesity. PLoS One 6, e19657 (2011)","journal-title":"PLoS One"},{"key":"30_CR3","doi-asserted-by":"publisher","first-page":"679","DOI":"10.1007\/s00586-006-0269-7","volume":"16","author":"B Cagnie","year":"2007","unstructured":"Cagnie, B., Danneels, L., Tiggelen, D., Loose, V., Cambier, D.: Individual and work related risk factors for neck pain among office workers: a cross sectional study. Eur. Spine J. 16, 679\u2013686 (2007)","journal-title":"Eur. Spine J."},{"key":"30_CR4","doi-asserted-by":"crossref","unstructured":"Chen, K.: Sitting posture recognition based on OpenPose. In: IOP Conference Series: Materials Science and Engineering, vol. 677, p. 032057 (2019)","DOI":"10.1088\/1757-899X\/677\/3\/032057"},{"key":"30_CR5","doi-asserted-by":"publisher","first-page":"9","DOI":"10.1186\/1748-7161-1-9","volume":"1","author":"T Grivas","year":"2006","unstructured":"Grivas, T., Vasiliadis, E., Mouzakis, V., Mihas, C., Koufopoulos, G.: Association between adolescent idiopathic scoliosis prevalence and age at menarche in different geographic latitudes. Scoliosis 1, 9 (2006)","journal-title":"Scoliosis"},{"key":"30_CR6","unstructured":"Jie, H., Li, S., Gang, S.: Squeeze-and-excitation networks. In: 2018 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2018)"},{"key":"30_CR7","doi-asserted-by":"crossref","unstructured":"Woo, S., Park, J., Lee, J., Kweon, I.: CBAM: Convolutional Block Attention Module (2018)","DOI":"10.1007\/978-3-030-01234-2_1"},{"key":"30_CR8","doi-asserted-by":"publisher","first-page":"158","DOI":"10.1016\/j.neucom.2022.07.054","volume":"506","author":"H Liu","year":"2022","unstructured":"Liu, H., Liu, F., Fan, X., Huang, D.: Polarized self-attention: towards high-quality pixel-wise mapping. Neurocomputing 506, 158\u2013167 (2022)","journal-title":"Neurocomputing"},{"key":"30_CR9","unstructured":"Li, X., Hu, X., Yang, J.: Spatial group-wise enhance: improving semantic feature learning in convolutional networks. arXiv abs\/1905.09646 (2019)"},{"key":"30_CR10","doi-asserted-by":"publisher","first-page":"172","DOI":"10.1109\/TPAMI.2019.2929257","volume":"43","author":"Z Cao","year":"2021","unstructured":"Cao, Z., Hidalgo, G., Simon, T., Wei, S., Sheikh, Y.: OpenPose: realtime multi-person 2D pose estimation using part affinity fields. IEEE Trans. Pattern Anal. Mach. Intell. 43, 172\u2013186 (2021)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"30_CR11","doi-asserted-by":"crossref","unstructured":"Yongxiang, J., et al.: Sitting posture recognition by body pressure distribution and airbag regulation strategy based on seat comfort evaluation. J. Eng. 2019 (2019)","DOI":"10.1049\/joe.2018.9143"},{"key":"30_CR12","doi-asserted-by":"crossref","unstructured":"Gelaw, T., Hagos, M.: Posture prediction for healthy sitting using a smart chair. arXiv E-prints (2022)","DOI":"10.1007\/978-3-030-93709-6_26"},{"key":"30_CR13","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2021.103432","volume":"73","author":"Z Fan","year":"2022","unstructured":"Fan, Z., Hu, X., Chen, W., Zhang, D., Ma, X.: A deep learning based 2-dimensional hip pressure signals analysis method for sitting posture recognition. Biomed. Signal Process. Control 73, 103432 (2022)","journal-title":"Biomed. Signal Process. Control"},{"key":"30_CR14","doi-asserted-by":"crossref","unstructured":"Fang, Y., Shi, S., Fang, J., Yin, W.: SPRNet: sitting posture recognition using improved vision transformer. In: 2022 International Joint Conference on Neural Networks (IJCNN), pp. 1\u20136 (2022)","DOI":"10.1109\/IJCNN55064.2022.9892021"},{"key":"30_CR15","doi-asserted-by":"crossref","unstructured":"Sun, K., Xiao, B., Liu, D., Wang, J.: Deep high-resolution representation learning for human pose estimation. In: 2019 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 5686\u20135696 (2019)","DOI":"10.1109\/CVPR.2019.00584"},{"key":"30_CR16","doi-asserted-by":"crossref","unstructured":"M\u00fcller, S., Hutter, F.: TrivialAugment: Tuning-free Yet State-of-the-Art Data Augmentation (2021)","DOI":"10.1109\/ICCV48922.2021.00081"},{"key":"30_CR17","unstructured":"Tan, M., Le, Q.: EfficientNet: rethinking model scaling for convolutional neural networks. arXiv abs\/1905.11946 (2019)"},{"key":"30_CR18","doi-asserted-by":"crossref","unstructured":"Howard, A., et al.: Searching for MobileNetV3 (2019)","DOI":"10.1109\/ICCV.2019.00140"}],"container-title":["Lecture Notes in Computer Science","Artificial Neural Networks and Machine Learning \u2013 ICANN 2023"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-44204-9_30","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,9,21]],"date-time":"2023-09-21T06:27:51Z","timestamp":1695277671000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-44204-9_30"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031442032","9783031442049"],"references-count":18,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-44204-9_30","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"22 September 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICANN","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Artificial Neural Networks","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Heraklion","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Greece","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26 September 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29 September 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"32","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icann2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/e-nns.org\/icann2023\/","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":"easyacademia.org","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"947","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":"426","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":"22","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":"45% - 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":"2.4","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":"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":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"type of other papers accepted  : 9 Abstract","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)"}}]}}