Daniel Berio, Memo Akten, F. Leymarie, M. Grierson, R. Plamondon
We propose a computational framework to learn stylisation patterns from example drawings or writings, and then generate new trajectories that possess similar stylistic qualities. We particularly focus on the generation and stylisation of trajectories that are similar to the ones that can be seen in calligraphy and graffiti art. Our system is able to extract and learn dynamic and visual qualities from a small number of user defined examples which can be recorded with a digitiser device, such as a tablet, mouse or motion capture sensors. Our system is then able to transform new user drawn traces to be kinematically and stylistically similar to the training examples. We implement the system using a Recurrent Mixture Density Network (RMDN) combined with a representation given by the parameters of the Sigma Lognormal model, a physiologically plausible model of movement that has been shown to closely reproduce the velocity and trace of human handwriting gestures.
{"title":"Calligraphic Stylisation Learning with a Physiologically Plausible Model of Movement and Recurrent Neural Networks","authors":"Daniel Berio, Memo Akten, F. Leymarie, M. Grierson, R. Plamondon","doi":"10.1145/3077981.3078049","DOIUrl":"https://doi.org/10.1145/3077981.3078049","url":null,"abstract":"We propose a computational framework to learn stylisation patterns from example drawings or writings, and then generate new trajectories that possess similar stylistic qualities. We particularly focus on the generation and stylisation of trajectories that are similar to the ones that can be seen in calligraphy and graffiti art. Our system is able to extract and learn dynamic and visual qualities from a small number of user defined examples which can be recorded with a digitiser device, such as a tablet, mouse or motion capture sensors. Our system is then able to transform new user drawn traces to be kinematically and stylistically similar to the training examples. We implement the system using a Recurrent Mixture Density Network (RMDN) combined with a representation given by the parameters of the Sigma Lognormal model, a physiologically plausible model of movement that has been shown to closely reproduce the velocity and trace of human handwriting gestures.","PeriodicalId":206209,"journal":{"name":"Proceedings of the 4th International Conference on Movement Computing","volume":"9 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":"128187300","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}
Yves Candau, Jules Françoise, S. Alaoui, T. Schiphorst
Designing for kinaesthetic awareness, the perception of our body's position and movement, presents a unique set of challenges and opportunities. While these implications are relatively new in the HCI community, they resonate with experiential knowledge from somatic practices and theories in embodied cognition. Still, moving is an interactive sound installation designed to support the perception of a person's micro-movements. We elaborate here on findings from a previous study, first emerged inductively from a grounded theory analysis of phenomenological interviews. Tracing the connections between these findings, and existing research in somatic practices and embodied cognition, reveals a range of distinctions and alternatives to flesh out the question: How can we understand and cultivate kinaesthetic awareness through interaction?
{"title":"Cultivating kinaesthetic awareness through interaction: Perspectives from somatic practices and embodied cognition","authors":"Yves Candau, Jules Françoise, S. Alaoui, T. Schiphorst","doi":"10.1145/3077981.3078042","DOIUrl":"https://doi.org/10.1145/3077981.3078042","url":null,"abstract":"Designing for kinaesthetic awareness, the perception of our body's position and movement, presents a unique set of challenges and opportunities. While these implications are relatively new in the HCI community, they resonate with experiential knowledge from somatic practices and theories in embodied cognition. Still, moving is an interactive sound installation designed to support the perception of a person's micro-movements. We elaborate here on findings from a previous study, first emerged inductively from a grounded theory analysis of phenomenological interviews. Tracing the connections between these findings, and existing research in somatic practices and embodied cognition, reveals a range of distinctions and alternatives to flesh out the question: How can we understand and cultivate kinaesthetic awareness through interaction?","PeriodicalId":206209,"journal":{"name":"Proceedings of the 4th International Conference on Movement Computing","volume":"17 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":"127176137","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}
Ksenia Kolykhalova, G. Gnecco, M. Sanguineti, A. Camurri, G. Volpe
A novel computational method for the analysis of expressive full-body movement qualities is introduced, which exploits concepts and tools from graph theory and game theory. The human skeletal structure is modeled as an undirected graph, where the joints are the vertices and the edge set contains both physical and non-physical links. Physical links correspond to connections between adjacent physical body joints (e.g., the forearm, which connects the elbow to the wrist). Nonphysical links act as "bridges" between parts of the body not directly connected by the skeletal structure, but sharing very similar feature values. The edge weights depend on features obtained by using Motion Capture data. Then, a mathematical game is constructed over the graph structure, where the vertices represent the players and the edges represent communication channels between them. Hence, the body movement is modeled in terms of a game built on the graph structure. Since the vertices and the edges contribute to the overall quality of the movement, the adopted game-theoretical model is of cooperative nature. A game-theoretical concept, called Shapley value, is exploited as a centrality index to estimate the contribution of each vertex to a shared goal (e.g., to the way a particular movement quality is transferred among the vertices). The proposed method is applied to a data set of Motion Capture data of subjects performing expressive movements, recorded in the framework of the H2020-ICT-2015 EU Project WhoLoDance, Project no. 688865. Preliminary results are presented.
{"title":"Graph-restricted game approach for investigating human movement qualities","authors":"Ksenia Kolykhalova, G. Gnecco, M. Sanguineti, A. Camurri, G. Volpe","doi":"10.1145/3077981.3078030","DOIUrl":"https://doi.org/10.1145/3077981.3078030","url":null,"abstract":"A novel computational method for the analysis of expressive full-body movement qualities is introduced, which exploits concepts and tools from graph theory and game theory. The human skeletal structure is modeled as an undirected graph, where the joints are the vertices and the edge set contains both physical and non-physical links. Physical links correspond to connections between adjacent physical body joints (e.g., the forearm, which connects the elbow to the wrist). Nonphysical links act as \"bridges\" between parts of the body not directly connected by the skeletal structure, but sharing very similar feature values. The edge weights depend on features obtained by using Motion Capture data. Then, a mathematical game is constructed over the graph structure, where the vertices represent the players and the edges represent communication channels between them. Hence, the body movement is modeled in terms of a game built on the graph structure. Since the vertices and the edges contribute to the overall quality of the movement, the adopted game-theoretical model is of cooperative nature. A game-theoretical concept, called Shapley value, is exploited as a centrality index to estimate the contribution of each vertex to a shared goal (e.g., to the way a particular movement quality is transferred among the vertices). The proposed method is applied to a data set of Motion Capture data of subjects performing expressive movements, recorded in the framework of the H2020-ICT-2015 EU Project WhoLoDance, Project no. 688865. Preliminary results are presented.","PeriodicalId":206209,"journal":{"name":"Proceedings of the 4th International Conference on Movement Computing","volume":"1 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":"127579208","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}
This paper evaluates three electronic textile (e-textile) stretch sensors commonly constructed for bespoke applications: two variations of fabric knit with a stainless steel and polyester yarn, and knit fabric coated with a conductive polymer. Two versions of the knit stainless steel and polyester yarn sensor, one hand and one machine knit, are evaluated. All of the materials used in the construction of the sensors are accessible to designers and engineers, and are commonly used in wearable technology projects, particularly for arts performance. However, the properties of each sensor have not before been formally analysed. We evaluate the sensors' performance when being stretched and released.
{"title":"Initial Investigations into Characterizing DIY E-Textile Stretch Sensors","authors":"R. Stewart, Sophie Skach","doi":"10.1145/3077981.3078043","DOIUrl":"https://doi.org/10.1145/3077981.3078043","url":null,"abstract":"This paper evaluates three electronic textile (e-textile) stretch sensors commonly constructed for bespoke applications: two variations of fabric knit with a stainless steel and polyester yarn, and knit fabric coated with a conductive polymer. Two versions of the knit stainless steel and polyester yarn sensor, one hand and one machine knit, are evaluated. All of the materials used in the construction of the sensors are accessible to designers and engineers, and are commonly used in wearable technology projects, particularly for arts performance. However, the properties of each sensor have not before been formally analysed. We evaluate the sensors' performance when being stretched and released.","PeriodicalId":206209,"journal":{"name":"Proceedings of the 4th International Conference on Movement Computing","volume":"12 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":"128141485","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}
L. Molina-Tanco, C. García-Berdonés, A. Reyes-Lecuona
This paper1. evaluates the use of the Delay Mirror (DM) in the dance studio. The DM is a device that records a video stream which is rendered immediately on a large screen, but with a delay of a few seconds. A dancer can observe her own movements in the same way she would do so when looking at a normal mirror. However, the delay allows her to observe dynamic movements which cannot usually be observed other than in video. We evaluate whether this device can be useful in the context of a dance class, and whether it complements the normal mirror, while being less intrusive than a normal video recording which is recorded and then re-played, possibly interrupting workflow. Qualitative evaluation was performed in the context of an advanced-level adult ballet course.
{"title":"The Delay Mirror: a Technological Innovation Specific to the Dance Studio","authors":"L. Molina-Tanco, C. García-Berdonés, A. Reyes-Lecuona","doi":"10.1145/3077981.3078033","DOIUrl":"https://doi.org/10.1145/3077981.3078033","url":null,"abstract":"This paper1. evaluates the use of the Delay Mirror (DM) in the dance studio. The DM is a device that records a video stream which is rendered immediately on a large screen, but with a delay of a few seconds. A dancer can observe her own movements in the same way she would do so when looking at a normal mirror. However, the delay allows her to observe dynamic movements which cannot usually be observed other than in video. We evaluate whether this device can be useful in the context of a dance class, and whether it complements the normal mirror, while being less intrusive than a normal video recording which is recorded and then re-played, possibly interrupting workflow. Qualitative evaluation was performed in the context of an advanced-level adult ballet course.","PeriodicalId":206209,"journal":{"name":"Proceedings of the 4th International Conference on Movement Computing","volume":"59 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":"124583174","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}
F. Visi, Theodoros Georgiou, S. Holland, O. Pinzone, Glenis Donaldson, J. Tetley
We have reviewed and assessed the reliability of a dead reckoning and drift correction algorithm for the estimation of spatial gait parameters using Inertial Measurement Units (IMUs). In particular, we are interested in obtaining accurate stride lengths measurements in order to assess the effects of a wearable haptic cueing device designed to assist people with neurological health conditions during gait rehabilitation. To assess the accuracy of the stride lengths estimates, we compared the output of the algorithm with measurements obtained using a high-end marker-based motion capture system, here adopted as a gold standard. In addition, we introduce an alternative method for detecting initial impact events (i.e. the instants at which one foot contacts the ground, here used for delimiting strides) using accelerometer data. Our method, based on a kinematic feature we named 'jerkage', has proved more robust than detecting peaks on raw accelerometer data. We argue that the resulting measurements of stride lengths are accurate enough to provide trend data needed to support worthwhile gait rehabilitation applications. This approach has potential to assist physiotherapists and patients without access to fully-equipped movement labs. More specifically, it has applications for collecting data to guide and assess gait rehabilitation both outdoors and at home.
{"title":"Assessing the Accuracy of an Algorithm for the Estimation of Spatial Gait Parameters Using Inertial Measurement Units: Application to Healthy Subject and Hemiparetic Stroke Survivor","authors":"F. Visi, Theodoros Georgiou, S. Holland, O. Pinzone, Glenis Donaldson, J. Tetley","doi":"10.1145/3077981.3078034","DOIUrl":"https://doi.org/10.1145/3077981.3078034","url":null,"abstract":"We have reviewed and assessed the reliability of a dead reckoning and drift correction algorithm for the estimation of spatial gait parameters using Inertial Measurement Units (IMUs). In particular, we are interested in obtaining accurate stride lengths measurements in order to assess the effects of a wearable haptic cueing device designed to assist people with neurological health conditions during gait rehabilitation. To assess the accuracy of the stride lengths estimates, we compared the output of the algorithm with measurements obtained using a high-end marker-based motion capture system, here adopted as a gold standard. In addition, we introduce an alternative method for detecting initial impact events (i.e. the instants at which one foot contacts the ground, here used for delimiting strides) using accelerometer data. Our method, based on a kinematic feature we named 'jerkage', has proved more robust than detecting peaks on raw accelerometer data. We argue that the resulting measurements of stride lengths are accurate enough to provide trend data needed to support worthwhile gait rehabilitation applications. This approach has potential to assist physiotherapists and patients without access to fully-equipped movement labs. More specifically, it has applications for collecting data to guide and assess gait rehabilitation both outdoors and at home.","PeriodicalId":206209,"journal":{"name":"Proceedings of the 4th International Conference on Movement Computing","volume":"11 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":"117190561","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}
Paolo Alborno, Nikolas De Giorgis, A. Camurri, E. Puppo
We present a method to compute a measure of karate movement quality from MoCap data. We start from well-known common assumptions: an expert athlete is able to perform movements characterized by stable and clean postures and stances, i.e., he is able to conclude the movements without hesitation, noisy small fluctuations or movement ripples. To explore this hypothesis, we collected a dataset of motion capture data of movements of five athletes while performing two different kata's for a total of 22 trials. The athletes have two distinct levels of skill and age: junior brown belt and senior black belt. For each trial, we compute the acceleration of the limbs (arms and legs) and carry out a multi-scale analysis to identify and extract relevant events. Such events correspond to maxima and minima of acceleration intensity (i.e. peaks of high acceleration or deceleration) that occur near the start and the end points of each basic movement segment in a session of kata. Significant events are then selected and an event-synchronisation approach is used to measure the amount of synchrony between the two arms and between the two legs. Results show that expert performers exhibit higher synchronisation with respect to beginners, resulting in more stable and clean movements perceived by observers.
{"title":"Limbs synchronisation as a measure of movement quality in karate","authors":"Paolo Alborno, Nikolas De Giorgis, A. Camurri, E. Puppo","doi":"10.1145/3077981.3078027","DOIUrl":"https://doi.org/10.1145/3077981.3078027","url":null,"abstract":"We present a method to compute a measure of karate movement quality from MoCap data. We start from well-known common assumptions: an expert athlete is able to perform movements characterized by stable and clean postures and stances, i.e., he is able to conclude the movements without hesitation, noisy small fluctuations or movement ripples. To explore this hypothesis, we collected a dataset of motion capture data of movements of five athletes while performing two different kata's for a total of 22 trials. The athletes have two distinct levels of skill and age: junior brown belt and senior black belt. For each trial, we compute the acceleration of the limbs (arms and legs) and carry out a multi-scale analysis to identify and extract relevant events. Such events correspond to maxima and minima of acceleration intensity (i.e. peaks of high acceleration or deceleration) that occur near the start and the end points of each basic movement segment in a session of kata. Significant events are then selected and an event-synchronisation approach is used to measure the amount of synchrony between the two arms and between the two legs. Results show that expert performers exhibit higher synchronisation with respect to beginners, resulting in more stable and clean movements perceived by observers.","PeriodicalId":206209,"journal":{"name":"Proceedings of the 4th International Conference on Movement Computing","volume":"11 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":"131481492","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}
The 'social dance' is an implicit, yet vital, characteristic of dyadic interactions. Attempts to characterize this complex behavior have illustrated unconscious levels of content and temporal entrainment within artificial social contexts. Yet, when viewed in a naturalistic setting, this complex systems problem faces a number of methodological and theoretical challenges. Utilizing precise kinematic recordings while adopting the 'micro-movement' approach, cross coherence analysis and tenets of graph theory, this paper presents an analytical framework to characterize unfolding, nonlinear temporal exchange and entrainment across a social dyad. This framework is empirically demonstrated within a clinical domain of individuals with known social difficulties: Autism Spectrum Disorder (ASD). Results illustrate the ability for this objective methodology to quantify variability in social dynamics, and profile dyadic entrainment during naturalistic exchange -- with no a priori constraints or limitations. Viewed within the context of a clinical assessment tool for ASD, results facilitate consideration of clinician impact on dyadic exchange, and point to a potential refinement of core tasks associated with such clinical batteries.
{"title":"The social-dance: decomposing naturalistic dyadic interaction dynamics to the 'micro-level'","authors":"C. Whyatt, E. Torres","doi":"10.1145/3077981.3078055","DOIUrl":"https://doi.org/10.1145/3077981.3078055","url":null,"abstract":"The 'social dance' is an implicit, yet vital, characteristic of dyadic interactions. Attempts to characterize this complex behavior have illustrated unconscious levels of content and temporal entrainment within artificial social contexts. Yet, when viewed in a naturalistic setting, this complex systems problem faces a number of methodological and theoretical challenges. Utilizing precise kinematic recordings while adopting the 'micro-movement' approach, cross coherence analysis and tenets of graph theory, this paper presents an analytical framework to characterize unfolding, nonlinear temporal exchange and entrainment across a social dyad. This framework is empirically demonstrated within a clinical domain of individuals with known social difficulties: Autism Spectrum Disorder (ASD). Results illustrate the ability for this objective methodology to quantify variability in social dynamics, and profile dyadic entrainment during naturalistic exchange -- with no a priori constraints or limitations. Viewed within the context of a clinical assessment tool for ASD, results facilitate consideration of clinician impact on dyadic exchange, and point to a potential refinement of core tasks associated with such clinical batteries.","PeriodicalId":206209,"journal":{"name":"Proceedings of the 4th International Conference on Movement Computing","volume":"15 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":"115461131","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}
The paper discusses issues of rhythmicality in the MotionComposer, a therapy device for persons with different abilities that turns movement into music using video-based motion tracking. Aiming at both a low entry fee, and that the result should be rhythmical enough to induce further movement, the design of the device faces an inherent challenge, namely that since users are both dancing to the beat of the music, and creating it at same time, then they must be rhythmic enough in their movements to produce a satisfying result, or the feedback loop will break down. In addressing the problem, we apply a number of strategies named triggering, accenting and adaptive. This paper discusses the pros and cons of the various approaches, referring to experiences gathered in the field, and concludes by summarizing possibilities for improvements in the next version of the device.
{"title":"Issues and Strategies of Rhythmicality for MotionComposer","authors":"Andreas Bergsland, R. Wechsler","doi":"10.1145/3077981.3078038","DOIUrl":"https://doi.org/10.1145/3077981.3078038","url":null,"abstract":"The paper discusses issues of rhythmicality in the MotionComposer, a therapy device for persons with different abilities that turns movement into music using video-based motion tracking. Aiming at both a low entry fee, and that the result should be rhythmical enough to induce further movement, the design of the device faces an inherent challenge, namely that since users are both dancing to the beat of the music, and creating it at same time, then they must be rhythmic enough in their movements to produce a satisfying result, or the feedback loop will break down. In addressing the problem, we apply a number of strategies named triggering, accenting and adaptive. This paper discusses the pros and cons of the various approaches, referring to experiences gathered in the field, and concludes by summarizing possibilities for improvements in the next version of the device.","PeriodicalId":206209,"journal":{"name":"Proceedings of the 4th International Conference on Movement Computing","volume":"178 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":"124429082","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}
The performing arts, and dance in particular, have been considered as intangible cultural heritage by UNESCO since 2003. This acknowledgement reflects the importance of preserving the knowledge generated within this art form for future generations. Nevertheless, what and how this sensible material should be preserved is still lacking clear methodological approaches. When considering creative processes, this seems an even more daunting task, as it goes beyond simply documenting the final product of a creation. Recent advancements in technology has allowed to consider other approaches of capturing data apart from video or photography, which are mostly static and have a single viewpoint. In this paper we describe how 3D data capture and point cloud visualization techniques have been used to capture and document João Fiadeiro's choreographic and compositional processes. Together with Fiadeiro we have identified a sub-set of core concepts of his method which have then been used to conduct two improvisation sessions involving Fiadeiro's dancers and himself. Those concepts have been used as the basis for the development of new visualization techniques that better illustrate, in an interactive system, the complexity of Fiadeiro's creative process.
表演艺术，尤其是舞蹈，自2003年起就被联合国教科文组织列为非物质文化遗产。这种认可反映了为后代保存这种艺术形式中产生的知识的重要性。然而，这些敏感的材料应该保存什么以及如何保存，仍然缺乏明确的方法方法。当考虑到创造过程时，这似乎是一项更加艰巨的任务，因为它不仅仅是记录创造的最终产品。最近的技术进步使得人们可以考虑除视频或摄影之外的其他捕获数据的方法，这些方法大多是静态的，只有一个视点。在本文中，我们描述了如何使用3D数据捕获和点云可视化技术来捕获和记录jo o Fiadeiro的编舞和构图过程。与Fiadeiro一起，我们确定了他的方法的核心概念的子集，然后用于Fiadeiro的舞者和他自己进行两次即兴表演。这些概念被用作开发新的可视化技术的基础，这些技术在交互系统中更好地说明了Fiadeiro创作过程的复杂性。
{"title":"Capturing and Documenting Creative Processes in Contemporary Dance","authors":"C. Ribeiro, R. K. D. Anjos, Carla Fernandes","doi":"10.1145/3077981.3078041","DOIUrl":"https://doi.org/10.1145/3077981.3078041","url":null,"abstract":"The performing arts, and dance in particular, have been considered as intangible cultural heritage by UNESCO since 2003. This acknowledgement reflects the importance of preserving the knowledge generated within this art form for future generations. Nevertheless, what and how this sensible material should be preserved is still lacking clear methodological approaches. When considering creative processes, this seems an even more daunting task, as it goes beyond simply documenting the final product of a creation. Recent advancements in technology has allowed to consider other approaches of capturing data apart from video or photography, which are mostly static and have a single viewpoint. In this paper we describe how 3D data capture and point cloud visualization techniques have been used to capture and document João Fiadeiro's choreographic and compositional processes. Together with Fiadeiro we have identified a sub-set of core concepts of his method which have then been used to conduct two improvisation sessions involving Fiadeiro's dancers and himself. Those concepts have been used as the basis for the development of new visualization techniques that better illustrate, in an interactive system, the complexity of Fiadeiro's creative process.","PeriodicalId":206209,"journal":{"name":"Proceedings of the 4th International Conference on Movement Computing","volume":"22 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":"126484967","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}
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