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However, to review their videos, they primarily use simple video player interfaces, which do not provide sufficient support for dancers. In this work, we present SyncUp, a system that provides multiple interactive visualizations to support the practice of synchronized dancing and liberate users from manual inspection of recorded practice videos. SyncUp helps dancers quickly identify poorly synchronized body parts and dance portions through our interactive visualization designs and dance performance quantification methods. Our extensive evaluation study shows that SyncUp predictions are highly correlated with human rating scores, and reveal practical benefits of SyncUp to dancers.<\/jats:p>","DOI":"10.1145\/3614214.3614222","type":"journal-article","created":{"date-parts":[[2023,8,5]],"date-time":"2023-08-05T10:25:18Z","timestamp":1691231118000},"page":"29-33","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["SYNCUP: Vision-Based Practice Support for Synchronized Dancing"],"prefix":"10.1145","volume":"27","author":[{"given":"Zhongyi","family":"Zhou","sequence":"first","affiliation":[{"name":"The University of Tokyo, Tokyo, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Anran","family":"Xu","sequence":"additional","affiliation":[{"name":"The University of Tokyo, Tokyo, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Koji","family":"Yatani","sequence":"additional","affiliation":[{"name":"The University of Tokyo, Tokyo, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2023,8,5]]},"reference":[{"key":"e_1_2_1_1_1","volume-title":"Proceedings of the 26th Annual ACM Symposium on User Interface Software and Technology, St. Andrews","author":"Anderson Fraser","year":"2013","unstructured":"Fraser Anderson , Tovi Grossman , Justin Matejka , and George Fitzmaurice . 2013 . YouMove: Enhancing movement training with an augmented reality mirror . Proceedings of the 26th Annual ACM Symposium on User Interface Software and Technology, St. Andrews , Scotland, UK. ACM, New York, NY, USA, 311--320. https:\/\/doi. org\/10.1145\/250 1988.2502045 Fraser Anderson, Tovi Grossman, Justin Matejka, and George Fitzmaurice. 2013. YouMove: Enhancing movement training with an augmented reality mirror. Proceedings of the 26th Annual ACM Symposium on User Interface Software and Technology, St. Andrews, Scotland, UK. ACM, New York, NY, USA, 311--320. https:\/\/doi. org\/10.1145\/2501988.2502045"},{"key":"e_1_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/TLT.2010.27"},{"key":"e_1_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/3197517.3201371"},{"key":"e_1_2_1_4_1","volume-title":"CHI '09 Extended Abstracts on Human Factors in Computing Systems","author":"Drobny Dieter","year":"2009","unstructured":"Dieter Drobny , Malte Weiss , and Jan Borchers . 2009 . 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Support vector regression machines. Advances in Neural Information Processing Systems 9, 155--161.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/3212721.3212837"},{"key":"e_1_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1080\/09298210701653344"},{"key":"e_1_2_1_8_1","volume-title":"IEEE International Conference on Computer Vision","author":"Fang Haoshu","year":"2017","unstructured":"Haoshu Fang , Shuqin Xie , Yu-Wing Tai , and Cewu Lu . 2017 . RMPE: Regional multi-person pose estimation . IEEE International Conference on Computer Vision , Venice, Italy , October 2017. IEEE Computer Society, 2353--2362. https:\/\/doi. org\/10.1109\/ICCV.2017.256 Haoshu Fang, Shuqin Xie, Yu-Wing Tai, and Cewu Lu. 2017. RMPE: Regional multi-person pose estimation. IEEE International Conference on Computer Vision, Venice, Italy, October 2017. IEEE Computer Society, 2353--2362. https:\/\/doi. org\/10.1109\/ICCV.2017.256"},{"key":"e_1_2_1_9_1","volume-title":"Adjunct Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing, Proceedings of the 2020 ACM International Symposium on Wearable Computers","author":"Lee Jae-Jun","year":"2020","unstructured":"Jae-Jun Lee , Jong-Hyeok Choi , Tserenpurev Chuluunsaikhan , and Aziz Nasridi . Nov. 2020 . Pose evaluation for dance learning application using joint position and angular similarity . Adjunct Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing, Proceedings of the 2020 ACM International Symposium on Wearable Computers ( Virtual Event, Mexico). ACM, New York, NY, USA, 67--70. https:\/\/doi.org\/10.1145\/3410530.3414402 10.1145\/3410530.3414402 Jae-Jun Lee, Jong-Hyeok Choi, Tserenpurev Chuluunsaikhan, and Aziz Nasridi. Nov. 2020. Pose evaluation for dance learning application using joint position and angular similarity. Adjunct Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing, Proceedings of the 2020 ACM International Symposium on Wearable Computers (Virtual Event, Mexico). ACM, New York, NY, USA, 67--70. https:\/\/doi.org\/10.1145\/3410530.3414402"},{"key":"e_1_2_1_10_1","volume-title":"British Machine Vision Conference","author":"Xiu Yuliang","year":"2018","unstructured":"Yuliang Xiu , Jiefeng Li , Haoyu Wang , Yinghong Fang , and Cewu Lu. September 2018 . Pose flow: Efficient online pose tracking . British Machine Vision Conference , Newcastle, UK, BMVA Press, 53. http:\/\/bmvc 2018. org\/contents\/papers\/0096.pdf Yuliang Xiu, Jiefeng Li, Haoyu Wang, Yinghong Fang, and Cewu Lu. September 2018. Pose flow: Efficient online pose tracking. British Machine Vision Conference, Newcastle, UK, BMVA Press, 53. http:\/\/bmvc2018. org\/contents\/papers\/0096.pdf"},{"key":"e_1_2_1_11_1","volume-title":"The Adjunct Publication of the 32nd Annual ACM Symposium on User Interface Software and Technology","author":"Zhou Zhongyi","year":"2019","unstructured":"Zhongyi Zhou , Yuki Tsubouchi and Koji Yatani . 2019 . Visualizing out-of-synchronization in group dancing . The Adjunct Publication of the 32nd Annual ACM Symposium on User Interface Software and Technology , New Orleans, LA, USA. ACM, New York, NY, USA, 107--109. https:\/\/doi. org\/10.1145\/3332167.3356888 Zhongyi Zhou, Yuki Tsubouchi and Koji Yatani. 2019. Visualizing out-of-synchronization in group dancing. The Adjunct Publication of the 32nd Annual ACM Symposium on User Interface Software and Technology, New Orleans, LA, USA. ACM, New York, NY, USA, 107--109. https:\/\/doi. org\/10.1145\/3332167.3356888"},{"key":"e_1_2_1_12_1","volume-title":"Proc. ACM Interact. Mob. 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