{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,10]],"date-time":"2026-02-10T07:39:24Z","timestamp":1770709164726,"version":"3.49.0"},"reference-count":21,"publisher":"Springer Science and Business Media LLC","issue":"23","license":[{"start":{"date-parts":[[2024,1,12]],"date-time":"2024-01-12T00:00:00Z","timestamp":1705017600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,12]],"date-time":"2024-01-12T00:00:00Z","timestamp":1705017600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/100000062","name":"National Institute of Diabetes and Digestive and Kidney Diseases","doi-asserted-by":"publisher","award":["R01DK113269"],"award-info":[{"award-number":["R01DK113269"]}],"id":[{"id":"10.13039\/100000062","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Multimed Tools Appl"],"DOI":"10.1007\/s11042-023-17852-y","type":"journal-article","created":{"date-parts":[[2024,1,12]],"date-time":"2024-01-12T05:02:03Z","timestamp":1705035723000},"page":"63679-63697","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Development of family level assessment of screen use in the home for television (FLASH-TV)"],"prefix":"10.1007","volume":"83","author":[{"given":"Anil Kumar","family":"Vadathya","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tom","family":"Baranowski","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Teresia M.","family":"O\u2019Connor","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alicia","family":"Beltran","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Salma M.","family":"Musaad","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Oriana","family":"Perez","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jason A.","family":"Mendoza","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sheryl O.","family":"Hughes","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5043-7460","authenticated-orcid":false,"given":"Ashok","family":"Veeraraghavan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,1,12]]},"reference":[{"issue":"8","key":"17852_CR1","doi-asserted-by":"publisher","first-page":"e13260","DOI":"10.1111\/obr.13260","volume":"22","author":"R Byrne","year":"2021","unstructured":"Byrne R, Terranova CO, Trost SG (2021) Measurement of screen time among young children aged 0\u20136 years: a systematic review. Obes Rev 22(8):e13260. https:\/\/doi.org\/10.1111\/obr.13260","journal-title":"Obes Rev"},{"issue":"5","key":"17852_CR2","doi-asserted-by":"publisher","first-page":"e20162592","DOI":"10.1542\/peds.2016-2592","volume":"138","author":"Council on Communications and Media","year":"2016","unstructured":"Council on Communications and Media (2016) Media use in school-aged children and adolescents. Pediatrics 138(5):e20162592. https:\/\/doi.org\/10.1542\/peds.2016-2592","journal-title":"Pediatrics"},{"key":"17852_CR3","doi-asserted-by":"publisher","first-page":"43","DOI":"10.1186\/1479-5868-3-43","volume":"3","author":"JL Robinson","year":"2006","unstructured":"Robinson JL, Winiewicz DD, Fuerch JH, Roemmich JN, Epstein LH (2006) Relationship between parental estimate and an objective measure of child television watching. Int J Behav Nutr Phys Act 3:43. https:\/\/doi.org\/10.1186\/1479-5868-3-43","journal-title":"Int J Behav Nutr Phys Act"},{"key":"17852_CR4","doi-asserted-by":"publisher","unstructured":"Fletcher RR, Chamberlain D, Richman D, Oreskovic N, Taveras E (2016) Wearable sensor and algorithm for automated measurement of screen time. 2016 IEEE Wireless Health (WH). IEEE, Bethesda, pp 109\u2013116. https:\/\/doi.org\/10.1109\/WH.2016.7764564","DOI":"10.1109\/WH.2016.7764564"},{"issue":"2","key":"17852_CR5","doi-asserted-by":"publisher","first-page":"88","DOI":"10.1145\/3214291","volume":"2","author":"YC Zhang","year":"2018","unstructured":"Zhang YC, Rehg JM (2018) Watching the TV watchers. Proc ACM Interact Mob Wearable Ubiquitous Technol 2(2):88. https:\/\/doi.org\/10.1145\/3214291","journal-title":"Proc ACM Interact Mob Wearable Ubiquitous Technol"},{"issue":"3","key":"17852_CR6","doi-asserted-by":"publisher","first-page":"290","DOI":"10.1016\/j.amepre.2012.11.004","volume":"44","author":"J Kerr","year":"2013","unstructured":"Kerr J, Marshall SJ, Godbole S, Chen J, Legge A, Doherty AR, Kelly P, Oliver M, Badland HM, Foster C (2013) Using the SenseCam to improve classifications of sedentary behavior in free-living settings. Am J Prev Med 44(3):290\u2013296. https:\/\/doi.org\/10.1016\/j.amepre.2012.11.004","journal-title":"Am J Prev Med"},{"issue":"1","key":"17852_CR7","doi-asserted-by":"publisher","first-page":"e33569","DOI":"10.2196\/33569","volume":"5","author":"A Kumar Vadathya","year":"2022","unstructured":"Kumar Vadathya A, Musaad S, Beltran A, Perez O, Meister L, Baranowski T, Hughes SO, Mendoza JA, Sabharwal A, Veeraraghavan A, O\u2019Connor TM (2022) An objective system for quantitative assessment of TV viewing among children: FLASH-TV. JMIR Pediatr Parent 5(1):e33569. https:\/\/doi.org\/10.2196\/33569","journal-title":"JMIR Pediatr Parent"},{"issue":"1","key":"17852_CR8","doi-asserted-by":"publisher","first-page":"184","DOI":"10.1007\/s11263-012-0564-1","volume":"101","author":"C Vondrick","year":"2013","unstructured":"Vondrick C, Patterson D, Ramanan D (2013) Efficiently scaling up crowdsourced video annotation. Int J Comput Vis 101(1):184\u2013204. https:\/\/doi.org\/10.1007\/s11263-012-0564-1","journal-title":"Int J Comput Vis"},{"key":"17852_CR9","doi-asserted-by":"publisher","unstructured":"Redmon J, Divvala S, Girshick R, Farhadi A (2016) You only look once: unified, real-time object detection. Proceedings of the IEEE conference on computer vision and pattern recognition. IEEE, Las Vegas, pp 779\u2013788. https:\/\/doi.org\/10.1109\/CVPR.2016.91","DOI":"10.1109\/CVPR.2016.91"},{"key":"17852_CR10","doi-asserted-by":"publisher","unstructured":"Girshick R, Donahue J, Darrell T, Malik J (2014) Rich feature hierarchies for accurate object detection and semantic segmentation. Proceedings of the IEEE conference on computer vision and pattern recognition. IEEE, Columbus, pp 580\u2013587. https:\/\/doi.org\/10.1109\/CVPR.2014.81","DOI":"10.1109\/CVPR.2014.81"},{"key":"17852_CR11","doi-asserted-by":"publisher","unstructured":"Taigman Y, Yang M, Ranzato MA, Wolf L (2014) Deepface: closing the gap to human-level performance in face verification. Proceedings of the IEEE conference on computer vision and pattern recognition. IEEE, Columbus, pp 1701\u20131708. https:\/\/doi.org\/10.1109\/CVPR.2014.220","DOI":"10.1109\/CVPR.2014.220"},{"key":"17852_CR12","doi-asserted-by":"publisher","unstructured":"Schroff F, Kalenichenko D, Philbin J (2015) FaceNet: a unified embedding for face recognition and clustering. Proceedings of the IEEE Conference on computer vision and pattern recognition. IEEE, Boston, pp 815\u2013823. https:\/\/doi.org\/10.1109\/CVPR.2015.7298682","DOI":"10.1109\/CVPR.2015.7298682"},{"key":"17852_CR13","doi-asserted-by":"publisher","unstructured":"Cao Q, Shen L, Xie W, Parkhi OM, Zisserman A (2018) Vggface2: a dataset for recognising faces across pose and age. Proceedings of the 13th ieee international conference on automatic face & gesture recognition. IEEE, Xi\u2019an, pp 67\u201374. https:\/\/doi.org\/10.1109\/FG.2018.00020","DOI":"10.1109\/FG.2018.00020"},{"key":"17852_CR14","unstructured":"Huang GB, Learned-Miller E (2014) Labeled faces in the wild: updates and new reporting procedures. Technical Report UM-CS-2014\u2013003. University of Massachusetts Amherst. http:\/\/www.cs.umass.edu\/~elm\/papers\/lfw_update.pdf. Accessed 4 Aug 2022"},{"key":"17852_CR15","doi-asserted-by":"publisher","unstructured":"Smith BA, Yin Q, Feiner SK, Nayar SK (2013) Gaze locking: passive eye contact detection for human-object interaction. Proceedings of the 26th annual ACM symposium on user interface software and technology. ACM, New York, pp 271\u2013280. https:\/\/doi.org\/10.1145\/2501988.2501994","DOI":"10.1145\/2501988.2501994"},{"key":"17852_CR16","doi-asserted-by":"publisher","unstructured":"Sugano Y, Matsushita Y, Sato Y (2014) Learning-by-synthesis for appearance-based 3D gaze estimation. Proceedings of the IEEE Conference on computer vision and pattern recognition. IEEE, Columbus, pp 1821\u20131828. https:\/\/doi.org\/10.1109\/CVPR.2014.235","DOI":"10.1109\/CVPR.2014.235"},{"key":"17852_CR17","doi-asserted-by":"publisher","unstructured":"Zhang X, Sugano Y, Fritz M, Bulling A (2015) Appearance-based gaze estimation in the wild. Proceedings of the IEEE conference on computer vision and pattern recognition. IEEE, Boston, pp 4511\u20134520. https:\/\/doi.org\/10.1109\/CVPR.2015.7299081","DOI":"10.1109\/CVPR.2015.7299081"},{"issue":"5\u20136","key":"17852_CR18","doi-asserted-by":"publisher","first-page":"445","DOI":"10.1007\/s00138-017-0852-4","volume":"28","author":"Q Huang","year":"2017","unstructured":"Huang Q, Veeraraghavan A, Sabharwal A (2017) TabletGaze: dataset and analysis for unconstrained appearance-based gaze estimation in mobile tablets. Mach Vis Appl 28(5\u20136):445\u2013461. https:\/\/doi.org\/10.1007\/s00138-017-0852-4","journal-title":"Mach Vis Appl"},{"key":"17852_CR19","doi-asserted-by":"publisher","unstructured":"Fischer T, Chang HJ, Demiris Y (2018) Rt-gene: real-time eye gaze estimation in natural environments. In: Ferrari V, Hebert M, Sminchisescu C, Weiss Y (eds) Proceedings of the European Conference on Computer Vision (ECCV). Springer, Cham, pp 334\u2013352. https:\/\/doi.org\/10.1007\/978-3-030-01249-6_21","DOI":"10.1007\/978-3-030-01249-6_21"},{"key":"17852_CR20","doi-asserted-by":"publisher","unstructured":"Kellnhofer P, Recasens A, Stent S, Matusik W, Torralba A (2019) Gaze360: physically unconstrained gaze estimation in the wild. 2019 IEEE\/CVF International Conference on Computer Vision (ICCV). IEEE, Seoul, pp 6912\u20136921. https:\/\/doi.org\/10.1109\/ICCV.2019.00701","DOI":"10.1109\/ICCV.2019.00701"},{"key":"17852_CR21","doi-asserted-by":"publisher","unstructured":"He K, Zhang X, Ren S, Sun J (2016) Deep residual learning for image recognition. Proceedings of the IEEE conference on computer vision and pattern recognition. IEEE, Las Vegas, pp 770\u2013778. https:\/\/doi.org\/10.1109\/CVPR.2016.90","DOI":"10.1109\/CVPR.2016.90"}],"container-title":["Multimedia Tools and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-023-17852-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11042-023-17852-y\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-023-17852-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,5]],"date-time":"2024-07-05T16:26:17Z","timestamp":1720196777000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11042-023-17852-y"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,1,12]]},"references-count":21,"journal-issue":{"issue":"23","published-online":{"date-parts":[[2024,7]]}},"alternative-id":["17852"],"URL":"https:\/\/doi.org\/10.1007\/s11042-023-17852-y","relation":{},"ISSN":["1573-7721"],"issn-type":[{"value":"1573-7721","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,1,12]]},"assertion":[{"value":"5 October 2022","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"5 October 2022","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"12 December 2023","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"12 January 2024","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors have no competing interests to declare.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}]}}