Proceedings of the 4th International Conference on Movement Computing最新文献_第2页

Proceedings of the 4th International Conference on Movement Computing 第四届运动计算国际会议论文集

Proceedings of the 4th International Conference on Movement Computing Pub Date : 2017-06-28 DOI: 10.1145/3077981

M. Gillies, K. Niehaus

引用次数: 0

Breakdown Harmonica: Extending Laban Notation with Video Game Development Tools 分解口琴:扩展拉班符号与视频游戏开发工具

Proceedings of the 4th International Conference on Movement Computing Pub Date : 2017-06-28 DOI: 10.1145/3077981.3078051

K. Woolford

引用次数: 1

Critical Appropriations of Biosensors in Artistic Practice 艺术实践中生物传感器的批判性挪用

Proceedings of the 4th International Conference on Movement Computing Pub Date : 2017-06-28 DOI: 10.1145/3077981.3078053

Teoma J. Naccarato, John MacCallum

引用次数: 13

Morphology Independent Feature Engineering in Motion Capture Database for Gesture Evaluation 面向手势评价的动作捕捉数据库形态学独立特征工程

Proceedings of the 4th International Conference on Movement Computing Pub Date : 2017-06-28 DOI: 10.1145/3077981.3078037

M. Tits, J. Tilmanne, T. Dutoit

{"title":"Morphology Independent Feature Engineering in Motion Capture Database for Gesture Evaluation","authors":"M. Tits, J. Tilmanne, T. Dutoit","doi":"10.1145/3077981.3078037","DOIUrl":"https://doi.org/10.1145/3077981.3078037","url":null,"abstract":"In the recent domain of motion capture and analysis, a new challenge has been the automatic evaluation of skill in gestures. Many methods have been proposed for gesture evaluation based on feature extraction, skill modeling and gesture comparison. However, movements can be influenced by many factors other than skill, including morphology. All these influences make comparison between gestures of different people difficult. In this paper, we propose a new method based on constrained linear regression to remove the influence of morphology on motion features. To validate our method, we compare it to a baseline method, consisting in a scaling of the skeleton data [14]. Results show that our method outperforms previous work both in removing morphology influence on feature, and in improving feature relation with skill. For a set of 326 features extracted from two datasets of Taijiquan gestures, we show that morphology influence is completely removed for 100% of the features using our method, whereas the baseline method only allows limited reduction of morphology influence for 74% of the features. Our method improves correlation with skill as assessed by an expert by 0.04 (p < 0.0001) in average for 98% of the features, against 0.001 (p = 0.68) for 58% of the features with the baseline method. Our method is also more general than previous work, as it could potentially be applied with any interindividual factor on any feature.","PeriodicalId":206209,"journal":{"name":"Proceedings of the 4th International Conference on Movement Computing","volume":"107 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132147213","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: 5

Representation Strategies in Two-handed Melodic Sound-Tracing 双手旋律追踪中的表征策略

Proceedings of the 4th International Conference on Movement Computing Pub Date : 2017-06-28 DOI: 10.1145/3077981.3078050

T. Kelkar, A. Jensenius

引用次数: 4

Data-Driven Design of Sound for Enhancing the Perception of Expressive Robotic Movement 数据驱动的声音设计增强机器人动作表现力的感知

Proceedings of the 4th International Conference on Movement Computing Pub Date : 2017-06-28 DOI: 10.1145/3077981.3078047

Luke Dahl, Jon Bellona, Lin Bai, A. LaViers

{"title":"Data-Driven Design of Sound for Enhancing the Perception of Expressive Robotic Movement","authors":"Luke Dahl, Jon Bellona, Lin Bai, A. LaViers","doi":"10.1145/3077981.3078047","DOIUrl":"https://doi.org/10.1145/3077981.3078047","url":null,"abstract":"Since people communicate intentions and inner states through movement, robots can better interact with humans if they too can modify their movements to communicate changing state. These movements, which may be seen as supplementary to those required for workspace tasks, may be termed \"expressive.\" However, robot hardware, which cannot recreate the same range of dynamics as human limbs, often limit expressive capacity. One solution is to augment expressive robotic movement with expressive sound. To that end, this paper presents a study to find a qualitative mapping between movement and sound. Musicians were asked to vocalize sounds in response to animations of a simple simulated upper body movement performed with different movement qualities, parametrized according to Laban's Effort System. Qualitative labelling and quantitative signal analysis of these sounds suggests a number of correspondences between movement qualities and sound qualities. These correspondences are presented and analyzed here to set up future work that will test user perceptions when expressive movements and sounds are used in conjunction.","PeriodicalId":206209,"journal":{"name":"Proceedings of the 4th International Conference on Movement Computing","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128836771","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: 9

Dynamic Graffiti Stylisation with Stochastic Optimal Control 动态涂鸦风格化随机最优控制

Proceedings of the 4th International Conference on Movement Computing Pub Date : 2017-06-28 DOI: 10.1145/3077981.3078044

Daniel Berio, S. Calinon, F. Leymarie

{"title":"Dynamic Graffiti Stylisation with Stochastic Optimal Control","authors":"Daniel Berio, S. Calinon, F. Leymarie","doi":"10.1145/3077981.3078044","DOIUrl":"https://doi.org/10.1145/3077981.3078044","url":null,"abstract":"We present a method for the interactive generation of stylised letters, curves and motion paths that are similar to the ones that can be observed in art forms such as graffiti and calligraphy. We define various stylisations of a letter form over a common geometrical structure, which is given by the spatial layout of a sparse sequence of targets. Different stylisations are then generated by optimising the trajectories of a dynamical system that tracks the target sequence. The evolution of the dynamical system is computed with a stochastic formulation of optimal control, in which each target is defined probabilistically as a multivariate Gaussian. The covariance of each Gaussian explicitly defines the variability as well as the curvilinear evolution of trajectory segments. Given this probabilistic formulation, the optimisation procedure results in a trajectory distribution rather than a single path. It is then possible to stochastically sample from the distribution an infinite number of dynamically and aesthetically consistent trajectories which mimic the variability that is typically observed in human drawing or writing. We further demonstrate how this system can be used together with a simple user interface in order to explore different stylisations of interactively or procedurally defined letters.","PeriodicalId":206209,"journal":{"name":"Proceedings of the 4th International Conference on Movement Computing","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132098217","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: 10

Pattern Classification of Hand Movements using Time Domain Features of Electromyography 基于肌电时域特征的手部运动模式分类

Proceedings of the 4th International Conference on Movement Computing Pub Date : 2017-06-28 DOI: 10.1145/3077981.3078031

Carl Peter Robinson, Baihua Li, Q. Meng, M. Pain

{"title":"Pattern Classification of Hand Movements using Time Domain Features of Electromyography","authors":"Carl Peter Robinson, Baihua Li, Q. Meng, M. Pain","doi":"10.1145/3077981.3078031","DOIUrl":"https://doi.org/10.1145/3077981.3078031","url":null,"abstract":"Myoelectric control of prostheses is a long-established technique, using surface electromyography (sEMG) to detect the electrical signals of muscle activity and perform subsequent mechanical actions. Despite several decades' research, robust, responsive and intuitive control schemes remain elusive. Current commercial hardware advances offer a variety of movements but the control systems are unnatural, using sequential switching methods triggered by specific sEMG signals. However, recent research with pattern recognition and simultaneous and proportional control shows good promise for natural myoelectric control. This paper investigates several sEMG time domain features using a series of hand movements performed by 11 subjects, taken from a benchmark database, to determine if optimal classification accuracy is dependent on feature set size. The features were extracted from the data using a sliding window process and applied to five machine learning classifiers, of which Random Forest consistently performed best. Results suggest a few simple features such as Root Mean Square and Waveform Length achieve comparable performance to using the entire feature set, when identifying the hand movements, although further work is required for feature optimisation.","PeriodicalId":206209,"journal":{"name":"Proceedings of the 4th International Conference on Movement Computing","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126695779","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: 17

Datasets for the Analysis of Expressive Musical Gestures 表达性音乐手势分析的数据集

Proceedings of the 4th International Conference on Movement Computing Pub Date : 2017-06-28 DOI: 10.1145/3077981.3078032

Álvaro Sarasúa, Baptiste Caramiaux, Atau Tanaka, Miguel Ortiz

引用次数: 5

Individuality in Piano Performance Depends on Skill Learning 钢琴演奏的个性取决于技巧的学习

Proceedings of the 4th International Conference on Movement Computing Pub Date : 2017-06-28 DOI: 10.1145/3077981.3078046

Baptiste Caramiaux, Frédéric Bevilacqua, C. Palmer, M. Wanderley

引用次数: 3