Augmented Reality Analytics to Investigate Motor Skills for Crossing the Midline Singh, Manjeet, Bangay, Shaun and Sajjanhar, Atul 2021, Augmented Reality Analytics to Investigate Motor Skills for Crossing the Midline, in ICCE 2021 : Proceedings of the 29th International Conference on Computers in Education Conference, Asia-Pacific Society for Computers in Education, Deakin University, Taiwan, pp. 703-705. Attached Files Name Description MIMEType Size Downloads Title Augmented Reality Analytics to Investigate Motor Skills for Crossing the Midline Author(s) Singh, Manjeet Bangay, Shaun orcid.org/0000-0002-0445-0573 Sajjanhar, Atul Conference name Computers in Education. Conference (29th : 2021 : Bangkok, thailand) Conference location Bangkok, Thailand Conference dates 2021/11/22 - 2021/11/26 Title of proceedings ICCE 2021 : Proceedings of the 29th International Conference on Computers in Education Conference Editor(s) RODRIGO, MMT IYER, S MITROVIC, A Publication date 2021 Start page 703 End page 705 Total pages 3 Publisher Asia-Pacific Society for Computers in Education Place of publication Deakin University, Taiwan Keyword(s) Augmented Reality crossing the midline analytics motor Skills Science & Technology Social Sciences Technology Computer Science, Interdisciplinary Applications Education & Educational Research Computer Science CORE2020 B ISBN 9789869721486 Language eng HERDC Research category E1 Full written paper - refereed Persistent URL http://hdl.handle.net/10536/DRO/DU:30161157 Document type: Conference Paper Collections: Faculty of Science, Engineering and Built Environment School of Information Technology Open Access Checking Related Links Link Description Connect to published version Go to link with your DU access privileges   Connect to Elements publication management system Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Sun, 09 Jan 2022, 10:39:59 EST Wed, 12 Jan 2022, 14:14:18 EST Wed, 12 Jan 2022, 14:35:56 EST Wed, 20 Apr 2022, 14:29:05 EST Wed, 20 Apr 2022, 16:47:56 EST Wed, 20 Apr 2022, 17:17:25 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 16 Abstract Views, 1 File Downloads  -  Detailed Statistics Created: Sun, 09 Jan 2022, 10:39:59 EST