Proceedings of the 2nd International Workshop on Movement and Computing最新文献_第3页

Influence of movement expertise on a virtual point-to-origin task 运动经验对虚拟点到原点任务的影响

Proceedings of the 2nd International Workshop on Movement and Computing Pub Date : 2015-08-14 DOI: 10.1145/2790994.2791014

Alexandra Kitson, B. Riecke, Ekaterina R. Stepanova

{"title":"Influence of movement expertise on a virtual point-to-origin task","authors":"Alexandra Kitson, B. Riecke, Ekaterina R. Stepanova","doi":"10.1145/2790994.2791014","DOIUrl":"https://doi.org/10.1145/2790994.2791014","url":null,"abstract":"There is increasing evidence of individual differences in spatial cognitive abilities and strategies, especially for simulated locomotion such as virtual realities. For example, Klatzky and colleagues observed two distinct response patterns in a \"point-to-origin\" task where participants pointed back to the origin of locomotion after a simulated 2-segment excursion. \"Turners\" responded as if succeeding to update their heading, whereas \"non-turners\" responded as if failing to update their heading - but why? Here, we investigated if one's real-world movement and movement analysis expertise (i.e., dancers versus Laban Movement Analysts) might affect one's virtual orientation behaviour. Using a virtual point-to-origin task, data showed that participants (N=39) with more extensive movement analysis expertise tended to be turners, and thus incorporate visually presented turns correctly. Conversely, dance students without Laban Movement Analysis expertise tended to be non-turners or used a mixed strategy. This suggests that reflecting about self-motion might be more conducive than movement experience, primarily dance, alone for enabling correct updating of simulated heading changes.","PeriodicalId":272811,"journal":{"name":"Proceedings of the 2nd International Workshop on Movement and Computing","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124565600","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Hearing movement: how taiko can inform automatic recognition of expressive movement qualities 听觉运动:太鼓如何通知自动识别表达的运动品质

Proceedings of the 2nd International Workshop on Movement and Computing Pub Date : 2015-08-14 DOI: 10.1145/2790994.2791004

Shannon Cuykendall, Michael J. Junokas, M. Amanzadeh, D. Tcheng, Yawen Wang, T. Schiphorst, Guy E. Garnett, Philippe Pasquier

{"title":"Hearing movement: how taiko can inform automatic recognition of expressive movement qualities","authors":"Shannon Cuykendall, Michael J. Junokas, M. Amanzadeh, D. Tcheng, Yawen Wang, T. Schiphorst, Guy E. Garnett, Philippe Pasquier","doi":"10.1145/2790994.2791004","DOIUrl":"https://doi.org/10.1145/2790994.2791004","url":null,"abstract":"We describe the first stages of exploratory research undertaken to analyze expressive movement qualities of taiko performance, a Japaense artistic practice that combines stylized movement with drumming technique. The eventual goals of this research are to answer 1) Can expressive visual qualities of taiko be heard in the sound and 2) Can expressive sonic qualities of taiko be seen in the movement? We achieved high accuracy across multiple machine-learning algorithms in recognizing key sonic and visual qualities of taiko performance. In contrast to many current methods of studying expressive qualities of movement, we inform our data collection process and annotations with taiko technique. We seek to understand how the fundamentals of taiko create expression. More broadly, we suggest that codified artistic practices, like taiko, can inform automatic recognition and generation of expressive movement qualities that have been challenging to reliably classify, parse, and detect. In future work we propose ways to generalize expressive features of taiko so they can be recognized in other movement contexts.","PeriodicalId":272811,"journal":{"name":"Proceedings of the 2nd International Workshop on Movement and Computing","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123728752","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

[radical] signals from life: from muscle sensing to embodied machine listening/learning within a large-scale performance piece 来自生命的信号:从肌肉感知到大型表演作品中体现的机器倾听/学习

Proceedings of the 2nd International Workshop on Movement and Computing Pub Date : 2015-08-14 DOI: 10.1145/2790994.2791015

D. Nort

引用次数: 4

Multitask learning for Laban movement analysis 拉班动作分析的多任务学习

Proceedings of the 2nd International Workshop on Movement and Computing Pub Date : 2015-08-14 DOI: 10.1145/2790994.2791009

Bernstein Ran, Shafir Tal, Tsachor Rachelle, Studd Karen, Schuster Assaf

{"title":"Multitask learning for Laban movement analysis","authors":"Bernstein Ran, Shafir Tal, Tsachor Rachelle, Studd Karen, Schuster Assaf","doi":"10.1145/2790994.2791009","DOIUrl":"https://doi.org/10.1145/2790994.2791009","url":null,"abstract":"This paper presents the results of a multitask learning method for recognition of Laban Movement Analysis (LMA) qualities from a markerless motion capture camera. LMA is a well-accepted method for describing, interpreting and documenting human movement which can be advantageous over kinematic description for capturing qualitative aspects as well as quantitative ones. Its specific language can be understood across disciplines. Thus, in recent years, LMA is increasingly becoming the preferred method for movement analysis. Many applications that use motion capture data might be significantly leveraged by automatic recognition of Laban Movement qualities. A data set of 550 video clips of different combinations of LMA qualities were recorded from markerless motion capture skeletal recordings demonstrated on the output of Microsoft's Kinect V2 sensor and on video. A sample of these clips were tagged by 2 Certified Movement Analysts as a multi-label training set to develop the Machine Learning (ML) algorithms. This approach obtained an improvement in recall and precision rate of about 60%--- 4% more than single-task machine learning previous approach by Bertstein et al. on single-task learning, was validated by analysis of non trained people moving general actions. Results show improved handling of noisy sensory data with an in-home setup, a method for automatic recognition of markerless movement in different situations, postures and tasks, and moderate improvements in quantification of subtle qualities for which a well defined quantification had previously not been found.","PeriodicalId":272811,"journal":{"name":"Proceedings of the 2nd International Workshop on Movement and Computing","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127641877","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 13

Indirection between movement and sound in an interactive sound installation 在互动式声音装置中，动作与声音之间的间接性

Proceedings of the 2nd International Workshop on Movement and Computing Pub Date : 2015-08-14 DOI: 10.1145/2790994.2791016

J. Fehr, Cumhur Erkut

引用次数: 4

Towards realtime measurement of connectedness in human movement 实现人体运动连通性的实时测量

Proceedings of the 2nd International Workshop on Movement and Computing Pub Date : 2015-08-14 DOI: 10.1145/2790994.2791012

M. Krzyżaniak, Rushil Anirudh, Vinay Venkataraman, P. Turaga, S. Wei

引用次数: 3

Kinetic dialogues: enhancing creativity in dance 动态对话:提高舞蹈的创造性

Proceedings of the 2nd International Workshop on Movement and Computing Pub Date : 2015-08-14 DOI: 10.1145/2790994.2791018

Alexander Berman, Valencia James

引用次数: 7